BUSINESS INTELLIGENCE MANAGER JOB DESCRIPTION

Defining what a Business Intelligence Manager does takes one clear sentence: this role owns the translation of raw organizational data into decisions. What makes it genuinely hard is the scope; the function sits at the center of every revenue, operations, and finance conversation, fielding competing priorities from department heads while simultaneously building the infrastructure that makes self-serve analysis possible. OKR-driven companies increasingly structure this role as the enterprise's single accountability point for KPI definition and data governance. Most incumbents manage a team of analysts and engineers while personally handling the most complex stakeholder requests, a dual demand that tests both technical depth and executive communication in the same week.

You will own the end-to-end business intelligence function, from roadmap and data architecture to dashboard delivery and team development, serving as the Business Intelligence Manager who gives senior leadership a reliable, consistent view of performance across all business units. The BI team typically spans analysts, engineers, and embedded data specialists distributed across functions, with the role reporting to a VP of Business Transformation, Chief Data Officer, or equivalent executive sponsor.

Career Impact: Owning KPI definition and OKR measurement across an enterprise cements the kind of cross-functional data authority that accelerates movement into VP of Analytics or Chief Data Officer roles.

Business Impact: Every forecast, headcount decision, and growth initiative the leadership team makes flows through the dashboards and metrics this role builds and maintains, making its output directly visible to the C-suite.

Growth Opportunity: Managing a team that spans data engineering, visualization, and advanced analytics builds the people-leadership and technical breadth needed to move into enterprise data strategy at scale.

• Define the organization's BI roadmap, aligning data priorities with OKR and KPI frameworks established by senior leadership.
• Lead a team of analysts and BI engineers, setting performance goals and developing technical capabilities across the group.
• Build and maintain enterprise dashboards and automated reports covering operational, financial, and product performance for cross-functional stakeholders.
• Partner with Finance, Operations, HR, and Product teams to gather reporting requirements and translate them into analytical solutions.
• Govern data quality and consistency across platforms, including validation, data dictionaries, and standardized metric definitions.
• Implement and improve data pipeline processes, working with data architecture teams to optimize ingestion, transformation, and delivery.
• Conduct advanced statistical and variance analysis to identify performance trends and surface recommendations to senior management.
• Coordinate intake and prioritization of ad-hoc analytical requests, managing team workload to meet deadlines across concurrent projects.

• Bachelor's degree in Business, Mathematics, Statistics, Computer Science, Economics, or equivalent work experience.
• 5 or more years of business intelligence or data analytics experience, with demonstrated ownership of enterprise reporting functions.
• 2 or more years of people management experience, including goal-setting, coaching, and performance oversight of analysts or engineers.
• Proven ability to define, document, and govern KPIs and metrics in alignment with executive-level business strategy.
• Experience managing data pipelines and working with data warehouse environments to support reporting and dashboard delivery.
• Strong written and verbal communication skills, with the ability to present complex analytical findings to both technical and non-technical audiences.
• Demonstrated project management capability, including cross-functional stakeholder management and delivery against defined timelines.
• Proficiency in data visualization tools and SQL for querying, cleansing, and preparing datasets for analysis.

• Experience in an OKR or KPI-centric organization, with a track record of linking BI output to measurable business transformation outcomes.
• Familiarity with scripting languages such as Python or R for statistical modeling or workflow automation.
• Exposure to agile delivery methodologies, including sprint planning, backlog management, and iterative development cycles.
• Master's degree or MBA with a quantitative focus, or equivalent advanced analytical credentials.

• Dashboard adoption rate, tracking the percentage of business units actively using BI-produced reporting.
• KPI coverage ratio, measuring the share of OKR-linked metrics with validated, automated data sources.
• Report request cycle time, reflecting how quickly ad-hoc analytical requests are completed and delivered.
• Data quality error rate, tracking the frequency of validated discrepancies found in production dashboards.
• Team capability index, measuring analyst skill development against the roadmap for advanced analytics transition.
• Typical tools: data visualization (commonly Power BI or Tableau); data warehousing (commonly Snowflake or similar cloud platform); querying and scripting (commonly SQL, Python).

• Base Salary Range: $110,000 to $155,000 annually, depending on seniority and industry
• Bonus: 10% to 20% annual performance-based bonus tied to team and company OKR outcomes
• Equity: RSUs or options common at growth-stage and publicly traded employers
• Health Benefits: Medical, dental, and vision coverage; employer contribution varies by company size
• PTO: 15 to 22 days annually; many employers offer flexible or unlimited PTO
• Common Perks: Remote or hybrid flexibility, L&D budget for analytics certifications, home office stipend

Figures are estimates based on general US market benchmarks and may be outdated. Adjust based on location, company size, and seniority level.

Background checks, including employment history verification, are a standard condition of hire for this role. All applicants are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected under applicable federal, state, or local law. Reasonable accommodations are available to individuals with disabilities throughout the application and employment process upon request. Candidates must hold unrestricted authorization to work in the United States before commencing employment.

The Business Intelligence Manager owns brand performance reporting, forecasting, and market research across the franchise, translating patient pathway data and customer insights into evidence-based recommendations that sharpen strategic planning. Reporting to franchise leadership and collaborating with finance, regional, and global teams, this role delivers the analytical foundation that drives sales force effectiveness and optimises local and global brand strategy.

Key Responsibilities

• Maintain a situational analysis of the market to guide development of strategic plans.
• Manage analysis of internal and external data and market research to provide insight into patient pathways, customer perceptions, behaviours, and outcomes.
• Conduct regular reviews to ensure business needs are met, engaging in delivery with senior management.
• Manage the flow and delivery of outputs for ad-hoc data requests and analytical insight.
• Develop and maintain sales force KPIs to manage sales team performance.
• Monitor and predict brand performance and evaluate the impact of key sales and marketing activities.
• Provide evidence-based assumptions to support the forecast and resource planning process across the franchise.
• Work with finance and forecasting teams to update in-year and long-range forecasts as required during the planning process.
• Work with regional and global teams to identify gaps in insight and close those gaps to optimise local and global strategy across the franchise.
• Build market research plans aligned to current and future corporate and brand objectives.
• Deliver on agreed budgets and phasing.
• Ensure global-led market research and analytics projects are tailored to the local market and deliver relevant insights to the local affiliate.
• Ensure that all market research activities comply with BHBIA guidelines and take place in line with SOPs.
• Calculate sales force targets and track performance versus target.
• Review incentive scheme design in collaboration with the leadership team.

Required Qualifications

• Experienced in business intelligence, market analysis, and market research.
• Experience in the pharma, bio-pharma, or healthcare industry and willingness to learn and understand relevant therapy areas.
• Technically proficient in market analysis, with preferred forecasting experience including expert use of Excel.
• Preferred depth and breadth of knowledge in pharmaceutical analytics and market research techniques and methodologies.
• Preferred knowledge of standard pharmaceutical market data sources.
• Highly numerate with excellent analytical skills.
• Experience in using data warehouse insight extraction and data visualisation tools, such as Qliksense, Power BI, and Tableau.
• Excellent oral and written communication skills.
• Strong project management skills.
• Good attention to detail and tenacity to ensure problems are identified and solved.
• Strong interpersonal skills to develop necessary relationships both internally and externally, with a proven track record of working in cross-functional teams.

Embedded within the data and reporting function at Telemundo, the Business Intelligence Manager builds and maintains the database architecture, data pipelines, and visualisation dashboards that serve executives and key functional areas including programming, marketing, and research. Working closely with senior leadership, data providers, and department heads, this role delivers the governed, accurate reporting infrastructure that enables enterprise-wide business intelligence at scale.

Core Functions

• Manage all reporting, analysis, and visualisation for key functional areas, including programming, marketing, and research.
• Manage and maintain data pipelines between data warehouse platforms, data sources, and data reporting dashboards.
• Employ data governance methods to ensure that all data reporting is up to date and accurate.
• Proactively look for improvements in data collection and standardisation of disparate datasets.
• Educate and train client teams to retrieve and interpret recurring reports.
• Act as a subject matter expert and escalation point for day-to-day operational activities across the landscape of reporting and analytics applications utilised by the business.
• Manage relationships with data providers and vendors as needed.
• Work with senior leadership to scale enterprise-wide best practices and approaches with respect to data management and business intelligence reporting.
• Develop and maintain relationships with key stakeholders, department heads, and executives as needed.

Qualifications & Experience

• Bachelor's degree or higher preferred, in a quantitative field such as Applied Mathematics, Statistics, Computer Science, MIS, or a related field, or equivalent work experience.
• Minimum five years of experience with reporting packages, databases, and ETL frameworks, with demonstrated aptitude with technical systems and disparate data sources.
• Advanced knowledge of data warehouse systems, including Snowflake.
• Advanced knowledge of data visualisation platforms, including Tableau.
• Demonstrated expertise using Microsoft Office applications, including Excel (including pivot tables and macros) and PowerPoint.
• Knowledge of data models for database design and development.
• Functional knowledge of statistical concepts, including simple linear regressions, what-if scenarios, statistical inference, and probability theory.
• Prior experience in advertising or media and entertainment industries is a plus.
• Familiarity with digital reporting tools, such as Adobe and Comscore, is a plus.
• Ability to multitask and work in a fast-paced, deadline-driven environment.
• Effective time management skills with superior attention to detail and quality control.

Reporting to senior leadership, the Business Intelligence Manager shapes the organisation's data consumption strategy by leading customer journey analytics, churn modelling, and propensity modelling projects that place customers at the centre of all deliverables. Partnering with European counterparts, analytics talent, and cross-functional stakeholders, this role builds a centre of excellence for business analytics that protects and grows key performance indicators through faster, insight-driven decision-making.

Primary Duties

• Connect business users with data to unlock new insights.
• Create a vision and strategy around how the business consumes data to drive strategic and tactical decisions and maximise the ability to meet business goals.
• Lead key transformation projects across the business with a focus on placing the customer at the heart of deliverables, including customer journey analytics, customer churn analytics, and customer propensity modelling.
• Develop a clear view of the health of the business to enable faster decision-making and protect and grow key performance indicators.
• Work with relevant stakeholders to ensure appropriate adoption and realisation of benefits.
• Build a virtual team of analytics talent and tools to develop a centre of excellence for business analytics.
• Work with European counterparts to share and collaborate on transformational and insight-led best practice, creating a playbook to circulate to each country.
• Create a future roadmap of innovation around systems and processes to disrupt and improve the way the business operates.

Skills & Qualifications

• Experience leading a team in a direct line management or virtual environment.
• Proven experience in an MI/BI-related role, working with senior stakeholders.
• Significant experience in understanding the sales cycle.
• Demonstrable experience of customer journey mapping with action-oriented outcomes.
• Experience working with project budgets and financial recording systems.
• Experience working with data manipulation and visualisation applications, such as Tableau and Power BI.
• Strong analytical skills with the ability to gather, analyse, and interpret data to aid decision-making.
• Familiarity with extracting and manipulating data from multiple silos held in CRM, billing, finance, and ERP systems.
• Proficiency in Power BI, Tableau, or similar tools, with advanced experience in Excel.
• Familiarity with data warehouse architecture and machine learning principles and their practical applications.
• Strong communication skills across a variety of written and verbal formats with a wide range of internal and external stakeholders.

Sitting at the intersection of data strategy and operational performance, the Business Intelligence Manager builds and maintains accurate metrics, dashboards, and reports that give senior managers the insight needed to identify trends, reduce variation, and drive profitability across multiple business functions. Operating across the organisation in a cross-functional critical role, this role protects business performance by translating complex operational and financial data into clear, decision-ready intelligence.

Duties

• Build, develop, and maintain repeatable, accurate, and credible metrics, dashboards, and reports, often requiring cross-functional efforts to build alignment and standardise definitions.
• Leverage information technology to automate, streamline, and integrate processes.
• Oversee the delivery of reports, dashboards, and insights that analyse key operations and performance metrics.
• Provide sound examination and interpretation of results related to operational performance.
• Identify opportunities to improve operational performance by identifying trends and sources of variation.
• Understand the strategic goals of the business and goals of business functions to provide insights to senior managers relative to opportunities to achieve those goals.
• Work cross-functionally throughout the organisation while playing an active role as a constructive critic and challenging the status quo.
• Drive and protect profitability by supporting senior leadership on key operational business decisions.
• Identify and implement improvements to optimise the intake, data validation, data analysis, and reporting processes.
• Prepare management reporting and presentation materials as needed.
• Manage team deadlines and deliverables and perform ad hoc analysis as assigned.

Requirements

• Bachelor's degree in an analytical field or related business experience.
• At least three years of experience in data analysis and complex reporting for multiple departments and entities, using variance analysis to drive business improvement.
• Experience with data visualisation software, with Microsoft Power BI preferred.
• Experience with data-driven process improvement and problem-solving methodologies, such as Lean Six Sigma, preferred.
• Demonstrated business acumen across multiple business functions preferred.
• Working knowledge of data mining principles, analytical concepts, and statistical techniques.
• Strong report development experience with a desire to visualise data creatively.
• Strong proficiency in Excel, with experience in Solver and SQL as a plus.
• Strong communication skills with the ability to interface effectively with all levels of the organisation and demonstrate judgment and diplomacy when dealing with internal stakeholders.
• Analytical and detail-oriented with an aptitude for working with incomplete information.
• Solid organisational and prioritisation skills to manage multiple projects while meeting deadlines.

A key member of the business analytics team, the Business Intelligence Manager leads requirements analysis, specification writing, and QA support for reporting and insight systems that security teams depend on, partnering closely with system architects and an agile development team to define and implement effective solutions. Collaborating across technical and business functions to maintain requirements traceability and drive epic-level product roadmap delivery, this role builds the analytical and documentation foundation that ensures reporting systems meet user and business needs.

Functions

• Play a key role in the business analytics team, supporting ongoing application improvements and the technical delivery of projects relating to systems that security teams depend on.
• Maintain all assigned requirements traceability and associated documentation.
• Analyse and review business, technical, and functional requirements.
• Write detailed specifications of user requirements, business processes, and procedures required to develop and implement reporting and insight.
• Work in close partnership with an agile development team to analyse product requirements in support of meeting the epic-level product roadmap commitment.
• Assist in QA and user acceptance testing of existing and proposed software solutions.
• Partner closely with system architects to define and implement effective and efficient solutions to business challenges and opportunities.

Experience & Qualifications

• Bachelor's degree in Computer Science, Engineering, or Analytics.
• Ten or more years of relevant work experience, including seven or more years in business intelligence, business analysis, data analysis, and reporting development.
• Proficiency in Microsoft Word, PowerPoint, and Excel at an intermediate level, including charts, pivot tables, and vlookups.
• Knowledge of MS Access or similar databases, such as SQL, Oracle, and Snowflake, is preferred.
• Tableau dashboard experience required.
• Understanding of database concepts and theory.
• Strong analytical skills to identify trends and patterns in data and interpret, synthesise, and communicate results.
• Ability to present and articulate ideas in an easy-to-consume visual format.
• Good interpersonal and time management skills, including the ability to manage multiple priorities and timelines.
• Strong communication skills to clarify project objectives and gather required information.

Sustained organisational growth depends on the Business Intelligence Manager, who leads modern reporting solution development and manages the BI portfolio in alignment with Uniting's Data and Analytics Strategy and program priorities. Based within a large organisation and reporting to the Chief Data Officer, this role increases the value derived from enterprise data assets and advances decision-making maturity by directing agile development teams and business subject matter experts through the full development lifecycle.

Accountabilities

• Lead and manage development teams and business subject matter experts to develop modern reporting solutions that add tangible business value.
• Manage the BI development portfolio, including planning project delivery and providing leadership and project management to business stakeholders and subject matter experts through the development lifecycle.
• Lead the application of modern development methodologies such as agile, providing direction and guidance to development teams and business stakeholders.
• Increase the organisational value derived from data assets.
• Implement methods to increase the maturity of enterprise decision-making capability.

Technical Qualifications

• Experience in a large organisation in a related capacity.
• Experience managing delivery teams using agile methodology, with complex stakeholder management.
• Ability to project manage a portfolio of work, with demonstrated ability to optimise work within a portfolio, develop project plans, and report to stakeholders.
• Experience in management consulting.
• Proven data literacy, including the ability to describe business use cases and outcomes, data sources and management concepts, and analytical approaches and options.
• Familiarity with business information generation and analysis methods.
• Excellent business acumen and interpersonal skills, with the ability to work across business lines to influence and effect change to achieve common goals.

As the Business Intelligence Manager, this role gathers and analyses internal and external data to build BI systems that support strategic business decisions, marketing campaigns, and profitability improvement across FMCG, pharmaceutical, or animal health markets. The marketing and analytics team relies on this work to develop targeted market research, supervise outsourced partners, and provide senior management with the customer and competitor insight needed to guide both short-term and long-term planning.

Activities

• Gather relevant data from internal and external resources.
• Analyse data to determine problem areas in processes.
• Build templates for strategic analysis to diagnose business problems and advise management on appropriate areas of improvement.
• Recommend solutions to reduce or eliminate issues and increase profitability.
• Provide marketing and customer insight to support the development of strategic and project execution plans.
• Create reports for presentation to upper management.
• Hire and train new analysts.
• Supervise and manage outsourced workforce and partners to conduct relevant market data collection and market research.
• Develop BI systems to support short-term and long-term business decisions as well as marketing and communication campaigns.
• Monitor budget and expenditures to maximise the value of investment.

Position Requirements

• A degree in Business Administration or Marketing is an advantage.
• At least two to three years of experience in business intelligence in the FMCG, pharmaceutical, or animal health industry.
• Preferably working experience in multinational companies.
• Marketing and marketing planning experience, with technical knowledge and leadership skills in marketing concepts, strategies, and tactics.
• Strong logical and critical thinking skills with the ability to solve problems under high pressure.
• Strong communication skills with a high degree of business acumen, flexibility, and analytical ability.
• High integrity and ethical standards.

Business Intelligence Manager defines staff goals, delivers advanced data analysis using Tableau, SAS, R, SQL, and Python, and leads cross-training and data quality review to maximise technology use across system-wide performance improvement initiatives. Success in the position means ensuring data completion and accuracy, managing workspace integrity, and providing the communication, leadership, and prioritisation that enable a fast-paced healthcare IT environment to execute complex, organisation-wide projects.

Operational Focus

• Define staff goals, strategies, project plans, timelines, and performance metrics.
• Collaborate with department leaders and business owners to gather data and reporting requirements.
• Deliver advanced data analysis using Tableau, SAS, R, SQL, Python, Excel, and Access.
• Perform quality assurance and validation on data and deliverables.
• Manage the workspace to ensure data completion and accuracy.
• Serve as the technical lead for cross-training and data quality review.
• Assure maximum use of technology to promote efficient work systems.

Knowledge Skills & Abilities

• MBA or MS in mathematics, statistics, or quantitative analysis preferred.
• Eight or more years of experience in data management, data analytics, statistics, and data-driven performance improvement.
• Two or more years of experience as a business intelligence manager.
• Five or more years of experience in the healthcare IT industry.
• Proficiency with Tableau, SAS, SQL, R, Python, Excel, SPSS, Access, and PowerPoint.
• Understanding of industry-specific issues, regulatory requirements, and healthcare reform.
• Strong critical thinking, project management, and problem-solving skills.
• Excellent communication, leadership, mentoring, and prioritisation abilities.
• Background in leading system-wide, complex projects.
• Ability to work effectively with senior management on operational and performance issues.
• Ability to thrive in a fast-paced, creative environment.

The Business Intelligence Manager produces high-quality BI solutions by managing and mentoring a team of specialists and analysts, coordinating intake and prioritisation of work from the global BI structure, and serving as the escalation point for performance indicators, continuous improvement, and risk management. Working closely with global process owners and leadership to understand and prioritise the ideas hopper, this role advances team capability and efficiency while maintaining accountability for the analytical outcomes that the broader organisation depends on.

Key Deliverables

• Manage and mentor a team of BI specialists and analysts to deliver high-quality solutions.
• Work closely with global BI structure, process owners, and leadership to understand, analyse, and prioritise ideas in the global hopper.
• Coordinate intake, prioritisation, and distribution of work within the team to ensure efficiency, high motivation, and further development of team members.
• Serve as the point of contact and escalation for the team.
• Maintain responsibility for performance indicators, continuous improvement, and risk management for the team.

Professional Experience

• University degree, preferably in a business-related, analytical, economics, or IT field.
• Minimum five years of experience in reporting and analytics.
• Experience managing a team, with strong leadership skills and experience developing analysts and managing stakeholders at all levels of seniority.
• Advanced expertise and a proven track record in analytical tools, data ecosystems, and deployments.
• Knowledge and understanding of accounting or supply chain processes is highly beneficial.
• Understanding of data warehouse platforms.

Embedded within a cross-functional analytics environment, the Business Intelligence Manager develops organised databases, SQL-driven datasets, and predictive modelling capabilities while building highly collaborative relationships with internal and external stakeholders to align insight-driven strategy with overall business goals. Working closely with technology and business partners to ensure data integrity across platforms through QA, validation, and testing, this role shapes the team's analytical roadmap and grows capability to produce dashboards and visualisations that communicate findings effectively across the organisation.

Areas of Ownership

• Lead and build a strong business intelligence and analytics team, defining and supporting clean and organised datasets, developing dashboards and visualisations, and producing key metrics and KPIs to support business goals and track business strategy.
• Support the growth of team members by setting clear goals and success metrics, coaching and supporting all team members, and developing a roadmap to grow team capability and skills.
• Build highly collaborative relationships with internal and external stakeholders to understand current challenges and overall business goals and to set the business up for future success through insight-driven strategy.
• Create organised databases, review and analyse data from multiple internal and external sources, and apply SQL querying, data manipulation, and data modelling for the creation and maintenance of datasets.
• Develop strong capability across the team to use data for predictive modelling and create visualisations to effectively communicate findings to the organisation.
• Ensure data integrity and data consistency across various platforms through testing, validation, and implementation of QA practices and procedures.

Education & Experience

• Bachelor's degree in computer science, information systems, business, mathematics, economics, statistics, accounting, or a related field, with several years of work experience in finance or technology.
• Six or more years of experience in business intelligence, ETL, and data analytics, including implementing data visualisation tools such as Power BI and Tableau.
• Two or more years of experience building, managing, and growing teams of business intelligence analysts.
• Experience with Workday, Yardi, or other accounting systems is beneficial.
• Experience as a leader or mentor in a related field.
• Strong background in data preparation and data analysis, with an emphasis on analytical and reporting tools such as SQL and SAS.
• Knowledge of a scripting language such as Python or R.
• Advanced knowledge of MS Excel and BI tools for building dashboards and data visualisations.
• Superior written and verbal communication skills in English.
• Meticulous attention to detail, with the ability to step back, think logically, and problem-solve effectively at a high level.

Reporting to cross-functional business, legal, and technology stakeholders, the Business Intelligence Manager develops analytics solutions and interactive dashboards that drive visibility into food safety program performance, executing ETL processes and advanced SQL to support wing-to-wing project lifecycle delivery. Partnering with product and technology teams to integrate data and drive adoption of BI tools, this role refines measurement and reporting capabilities that translate terabyte-scale data into actionable insights aligned with complex business and product challenges.

Role Responsibilities

• Define the global roadmap and strategy for data, and design and deliver impactful data and analytics relating to food safety programs.
• Manage a team of business intelligence engineers and provide technical team development.
• Develop analytics solutions to solve complex business and product challenges.
• Interface with cross-functional stakeholders to gather metrics requirements and drive key business outcomes.
• Develop interactive and flexible visualisation dashboards to drive adoption and increase visibility into key measures of business performance.
• Perform data extraction using ETL tools and advanced SQL.
• Partner with business, legal, and technology stakeholders to understand challenges and provide data and analysis to help drive program success.
• Provide wing-to-wing project lifecycle execution, including project planning, execution, risk assessment, and system availability.
• Understand the tools used and drive product and technology solutions with data.

Background & Experience

• Bachelor's degree in a quantitative field such as Mathematics, Statistics, Engineering, Computer Science, Economics, or Business, or equivalent professional experience.
• Four or more years of relevant experience working in an analytics or business intelligence environment.
• Master's degree or higher in Statistics, Data Science, or an equivalent quantitative field preferred.
• Seven or more years of industry experience working as a business intelligence engineer or in a related speciality preferred.
• Experience leading a team.
• Experience in terabyte-scale databases and data warehouses, including AWS big data technologies such as Redshift and S3.
• Advanced knowledge of Tableau, SQL, Python, and relational databases within a business environment.
• Experience building measures and metrics with automation for reporting use cases.
• Knowledge of agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
• Ability to apply analytical, computer, statistical, and quantitative problem-solving skills to drive insights.
• Ability to use hard data and metrics to back up assumptions and develop business cases.

Sitting at the intersection of business process improvement and intelligence reporting, the Business Intelligence Manager identifies departmental intelligence needs, builds dashboards and reports for management use, and monitors internal and external environments to uncover competitive advantages and new business process opportunities. Operating across research, analysis, safety, and client service functions, this role oversees the implementation of intelligence recommendations and supports project-related research with the structured analysis and documentation that keeps operations productive and compliant.

Job Functions

• Provide outstanding and courteous customer service to customers and peers.
• Follow safety guidelines and complete safety reports and required records.
• Identify the intelligence needs of each department through one-to-one communications with key employees.
• Evaluate processes and identify opportunities to maximise productivity and efficiency.
• Develop process flows, build training documents, and provide key employee training.
• Build dashboards, widgets, and specific reports for management use.
• Research and analyse areas of interest to gain a competitive advantage.
• Monitor fields of interest, such as technology in the legal framework.
• Monitor internal and external environments for the development of new business processes.
• Gather information for project-related research, analyse that information, and produce reports based on the analyses.
• Implement the recommendations of intelligence and information reporting and management.

Minimum Qualifications

• Bachelor's degree in a relevant field, or an equivalent combination of education and experience.
• Experience with Power BI, Tableau, and M-Files is preferred.
• Five or more years of related experience.
• Knowledge of data storage structures and the various ways data can be applied to aid in business intelligence.
• Knowledge of business computer software, including Microsoft Office, especially Excel, and other required software programmes.
• Ability to define problems, collect data, establish facts, and draw valid conclusions.
• Strong written and verbal communication skills with a focus on customer service.
• Organisational and project management skills.
• Ability to adapt to changing situations.
• Proficiency in written and spoken English.

A key member of the global marketing intelligence function, the Business Intelligence Manager develops specialised market research plans and analyses across fermentation industries, monitoring competitor movements and industry trends to bring external perspectives into corporate planning and new product development. Collaborating across global marketing and intelligence teams on joint research and analytics projects, this role oversees the construction of a continuously updated market database that delivers meaningful, actionable insights to internal business partners and supports the preparation of marketing reports.

What You'll Do

• Conduct market research, statistical analysis, and business intelligence to support strategic, tactical, and operational initiatives.
• Support business planning and the creation of long-term and short-term business strategies.
• Develop an in-depth view of the market, existing customers, and prospective customers by using data from multiple sources.
• Proactively monitor industry trends and competitors' movements through competitor intelligence and networking with industry experts and associations.
• Build market intelligence on the overall fermentation industry.
• Collect information, analyse data, and frequently update the market database to assist in the preparation of marketing reports.
• Develop specialised analyses and research plans to meet business needs, consult with internal business partners, and manage schedules to ensure projects deliver meaningful and actionable insights.
• Participate in corporate planning and new product development processes to bring external perspectives into business planning.
• Support the global marketing and marketing intelligence team through collaboration on global research and analytics projects.

Required Qualifications

• Bachelor's degree required, preferably in market research, marketing, business, science, or a related discipline.
• Master's or MBA degree preferred.
• A minimum of six years of working experience, with at least four years of related experience in the food or ingredient industry.
• Strong analytical and problem-solving skills.
• Strong communication skills, including verbal, written, and interpersonal.
• Ability to build and manage multiple projects simultaneously.
• Ability to build and maintain constructive and effective relationships in a global organisation.
• Demonstrated ability to deal with ambiguity and adapt to change.

Sustained business performance and continuous improvement depend on the Business Intelligence Manager, who partners with senior management and engineering teams to develop operational monitoring and growth KPIs, manage the end-to-end change management lifecycle for enterprise systems, and implement BI tools including Tableau and Power BI. Based within a cross-functional environment spanning student information, CRM, and marketing analytics systems, this role advances data pipeline optimisation and vendor collaboration to keep the organisation aligned with evolving business intelligence strategy.

Day-to-Day Responsibilities

• Develop reporting and perform analysis on business performance, including operational, financial, and product metrics.
• Partner with business leaders to develop high-quality operational monitoring, growth, and continuous improvement KPIs.
• Perform requirements and design analysis, and project-manage engineering and IT teams to implement changes that optimise the data pipeline.
• Maintain working knowledge of interoperability requirements across enterprise systems, including customer relationship, student information, and marketing analytics systems.
• Perform user acceptance testing and develop end-user documentation for internal teams.
• Define and maintain the end-to-end change management lifecycle for enterprise systems development.
• Work with senior management to develop goals, objectives, and strategies for improving business performance using BI tools.
• Recommend changes to existing business intelligence processes or policies to improve efficiency.
• Collaborate with vendors to implement new systems or tools as needed.
• Monitor industry trends to identify upcoming challenges or opportunities.

Qualifications & Experience

• Bachelor of Science in a business or technology-related field from an accredited institution is a plus.
• Three to five years of related experience in business intelligence and/or analytics.
• Five years of proven experience as a business analyst.
• Experience managing projects, including developing schedules, managing stakeholders, and driving teams to project success.
• Proficiency with one or more reporting tools, such as Tableau or Power BI.
• Experience working with modern enterprise data and operational systems, including HubSpot and Gainsight.
• Working knowledge of HubSpot, Gainsight, and/or Zapier is a plus.
• Strong technical thinking, analytical, and conceptualisation skills.
• Ability to quickly learn technical concepts and new technology, and to recommend solutions and alternatives.

As the Business Intelligence Manager, this role automates and develops systems within the data and analytics function, using SQL, HANA, and Snowflake to gather, process, and analyse data that gives sellers visibility into opportunity insights for better customer and partner engagement. The data and analytics team relies on this work to prepare technical design documents, deliver ad hoc analyses, and apply structured problem-solving to complex data challenges in a fast-paced, independently managed environment.

Scope of Work

• Automate or improve existing systems to directly impact business productivity.
• Develop and support new or existing systems within the data and analytics function.
• Work with SQL, HANA, and Snowflake for data gathering, processing, and analysis.
• Prepare technical design documents based on business requirements and data flow diagrams.
• Prepare ad hoc analyses and present results concisely.
• Design solutions to provide sellers with visibility into opportunity data insights for better engagement with customers and partners.
• Work with different business intelligence tools and data frameworks.

Skills & Qualifications

• Bachelor's degree in mathematics, statistics, data science, computer science, or engineering.
• Three or more years of experience in data engineering or data analysis.
• Experience using query languages such as SQL.
• Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
• Strong collaboration, influencing, and facilitation skills.
• Structured problem-solving approach, including breaking down complex problems into components and driving resolution.
• Ability to work independently and learn quickly.
• Ability to thrive in a fast-paced, changing environment.

Business Intelligence Manager oversees end-to-end ownership of the BI team, from roadmap planning and leadership input gathering through to promoting best practices and championing data and metrics instrumentation across new product and service development lifecycles. The work directly supports last-mile, transportation, and sortation business teams by driving the development of tools, automation, and insightful reports that meet the analytical needs of a large-scale, complex data environment.

Work Activities

• Manage end-to-end ownership of the business intelligence team, including gathering inputs from leadership and partner teams, roadmap planning and prioritisation, and promoting best practices.
• Mentor and develop team members.
• Establish and lead solutions across multiple teams.
• Champion data and metrics instrumentation during the development lifecycle for new products and services.
• Drive the development of tools, automation, and innovative and insightful reports.
• Support last-mile, transportation, and sortation business teams with data and analytical needs.

Technical Qualifications

• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related technical field, or equivalent work experience.
• Fifteen or more years of relevant engineering and people management experience.
• Hands-on experience using databases and related technologies in a fast-paced environment with large-scale and complex datasets.
• Exceptional customer relationship skills, including the ability to discover true requirements, prioritise, recommend alternative approaches, and lead engineering efforts to meet aggressive timelines.
• Strong business and technical vision.
• Deep hands-on technical expertise.
• Excellent verbal and written communication skills.

The Business Intelligence Manager creates market, customer, and competitor intelligence reports and conducts training that steers data-driven decision-making for global and regional teams across LATAM and North America. Reporting to management and collaborating with internal stakeholders to continuously improve business intelligence processes, this role delivers the qualitative and quantitative research and the multilingual communication that enables regional strategy to be grounded in accurate, current market insight.

Performance Expectations

• Provide and explain business intelligence for global and regional teams, including market, customer, and competitor information.
• Drive and steer the use of business intelligence data for decision-making.
• Conduct training on how to make use of business intelligence data for decision-making.
• Provide recommendations to global and regional teams based on business intelligence.
• Shape processes with internal stakeholders to continuously improve business intelligence and customer insights.
• Prepare and present regular reports to internal and external customers.
• Work with management to prioritise business and information needs.

Qualifications & Experience

• Bachelor's degree in Economics, Business Administration, or a related field.
• MBA or specialisation in Business Intelligence, Marketing, or a related area is a plus.
• Experience working in Business Intelligence, Economic Research, or related areas.
• Experience in agribusiness is desired.
• Broad experience across qualitative, quantitative, primary, and secondary research methods.
• Advanced proficiency in Portuguese, English, and Spanish is required.

Embedded within a client-facing pharma and biotech analytics function, the Business Intelligence Manager develops dashboard mockups, manages project delivery within time and scope, and coordinates ongoing technical support to translate client data sources into actionable visualisation solutions. Working closely with sales, technical resources, and development teams to gather requirements, finalise designs, and deliver continuous product feedback, this role executes the full project lifecycle that ensures client satisfaction and supports future commercial opportunities.

Core Responsibilities

• Work with the sales team to understand client requirements.
• Develop a solid understanding of client data sources and data feeds.
• Work with technical resources to develop dashboards and consumption layers.
• Design dashboard mockups and work with clients to finalise requirements.
• Manage the development of the project within time and scope following client sign-off.
• Coordinate ongoing technical support.
• Provide ongoing feedback to the development team for product enhancements.
• Provide ongoing feedback to the sales team for future opportunities.

Requirements

• Five or more years of relevant pharmaceutical or biotech industry experience.
• Knowledge of pharmaceutical industry standard data sources is required.
• Project management and/or data analysis and business analysis experience.
• Knowledge of Tableau and/or Power BI is a plus.
• Experience managing technical teams and deployments.
• Ability to stay organised while managing multiple projects, with a strong work ethic.
• Interest and passion for customer satisfaction and the use of technology.

Reporting to business and technology leadership, the Business Intelligence Manager coordinates the organisation's Power BI reporting and dashboarding platforms, manages direct reports on the BI analytics team, and completes advanced statistical analysis of large datasets to drive insights across one or more product verticals. Partnering with business and technology stakeholders to build analytical solutions aligned with data warehouse principles, this role refines organisational capability in data visualisation and communicates findings effectively to stakeholders at all levels.

Key Responsibilities

• Manage one or more direct reports on the BI analytics team.
• Maintain and advance the organisation's reporting and dashboarding platforms in Power BI.
• Collaborate with business and technology partners to build insightful analytical solutions and dashboards.
• Complete advanced statistical analysis of large datasets to drive insights.
• Manage and execute components of large projects from start to finish.
• Own and manage one or more product verticals.

Experience & Qualifications

• Bachelor's degree in Business, Computer Science, Analytics, or another quantitative discipline.
• Advanced degree preferred.
• Five or more years of experience in a Data Analyst, Business Intelligence, or similar role.
• One or more years of management experience required.
• Experience leading a BI analytics team is a plus.
• Proficiency in SQL in a business environment.
• Experience creating advanced solutions using Power BI.
• Strong knowledge of data warehouse principles and familiarity with data modelling concepts and methodologies.
• Mastery of data visualisation and analytical best practices.
• Presentation skills for communicating data findings in understandable terms to stakeholders.

Sitting at the intersection of IT governance and business intelligence delivery, the Business Intelligence Manager oversees employee and contractor project managers, implements project management methodologies including Waterfall, Agile, and Lean, and partners with business and IT stakeholders to develop technology strategies that drive long-term growth and sustainability. Operating across enterprise planning, budget oversight, and talent development functions, this role coordinates team workload and project assignments to ensure delivery of BI products such as Cognos, Tableau, and Power BI in alignment with industry regulations and business needs.

Leadership Responsibilities

• Oversee employee and contractor project managers, including talent acquisition, onboarding, offboarding, learning and development, and resource capacity management.
• Coordinate with senior leadership and project intake management teams to assign project managers to projects based on skill profiles and established selection criteria.
• Implement and direct IT project management methodologies, including the continuous improvement of those methodologies, and oversee the development of Waterfall, Hybrid, Agile, Lean, and blended project delivery support.
• Ensure success of projects and maintenance efforts across IT and business functions, incorporating best practices and compliance with standards and industry regulations.
• Collaborate with business partners and IT to determine how technology can drive value, address issues, and identify solutions to meet business needs.
• Coordinate and manage team workload, staffing requirements, and project assignment roles, and provide tools and professional development opportunities needed for staff to be effective.
• Develop and communicate employee performance objectives and coaching.
• Develop technology strategies to support long-term growth and sustainability of the project management practice.
• Represent and promote the IT department on planning and development initiatives.
• Oversee the development and implementation of the departmental budget.
• Lead a team through teaching, coaching, and inspiring by fostering a sense of energy, ownership, and responsibility for operational excellence, and engage in the selection and hiring process as needed.

Education & Experience

• Bachelor's degree in Information Systems or a related area of study, or an equivalent combination of education and relevant work experience.
• Master's degree in Information Technology, Computer Science, or a related area is preferred.
• Direct experience using PMP or Scrum, or relevant certifications.
• AWS, Azure, or Google Cloud certification.
• Five or more years of IT-related work experience, including prior experience managing senior, mid-level, and junior-level IT project managers in an enterprise or consulting context.
• One or more years of leadership and people management experience.
• Delivery experience with one or more products such as Cognos, Tableau, or Power BI.
• Delivery experience with database, ETL, big data, or cloud data warehouse technologies.
• Experience in PBM, healthcare, or a regulated market.
• Knowledge of and experience working with large systems integrators.
• Strong verbal and written communication skills, including the ability to present complex material to a wide range of audiences in plain language.
• Excellent leadership and interpersonal skills.
• Strong problem-solving and business analysis skills.
• Ability to multitask, set time frames, and meet deadlines.

A key member of the Digital team at Digicel, the Business Intelligence Manager creates automated reporting and actionable insights on digital product performance by leveraging Firebase, Google Analytics, and proprietary internal data sources to inform customer experience, engagement, and KPI decisions for app and website platforms. Collaborating across vendors, product suppliers, and cross-functional stakeholders to set up Google Analytics and Firebase properties, integrate third-party APIs, and share analytical skills that improve team data fluency, this role guides a data governance and insight framework that connects digital analytics to business strategy.

Strategic Responsibilities

• Use analytical techniques, including visual, logical, and statistical methods, to generate insights on digital products and their performance.
• Connect data insights to business problems and implications, and present findings to a wide range of stakeholders, including senior business managers.
• Undertake statistical analysis to determine promotional campaign effectiveness and product feature usage.
• Provide input and recommendations on customer experience, customer engagement, and KPIs for app and website performance.
• Work with vendors and product suppliers to ensure analytics, including events and payloads, are properly set up.
• Develop proprietary datasets to support analysis by integrating data from third-party APIs with internal data sources.
• Design and build insightful dashboards that enable business owners to monitor KPIs and initiatives.
• Transform raw data into visually appealing and actionable insights to support decision-making.
• Report on key metrics, analyse and interpret trends, and proactively provide actionable insights based on internal and third-party data sources.
• Present recommendations on potential product modifications based on data analytics.
• Gather requirements and set up reporting dashboards and presentations for key stakeholders based on business requirements.
• Design optimal solutions for data collection using industry best practices and governance principles.
• Set up new Google Analytics and Firebase properties, including custom filters, views, and segments for easy reporting.
• Support the management team with questions related to digital analytics tools.
• Share analytical skills across the team to improve data fluency and problem-solving.
• Participate in process improvement to ensure analytics are integrated into development cycles and business delivery.

Position Requirements

• Degree in Computer Science, Information Systems, Data Science, or Statistics.
• A Master's degree is a plus.
• Five or more years of hands-on experience in data analysis, statistics, and data modelling, including proficiency in managing large datasets in formats such as CSV, Excel, SQL Server, or related formats.
• Advanced experience setting up events and goals within Google Analytics and Firebase.
• Technical knowledge of digital analytics tools, including Firebase, Google Analytics, and Facebook Analytics.
• Proficiency in working with large raw datasets in a variety of formats, including the ability to integrate third-party APIs and maintain the integrity of marketing data through validated and accurate reporting.
• Strong knowledge of Microsoft Office Suite, especially Excel and PowerPoint, including advanced analysis tools.
• Working knowledge of Tableau, Power BI, or other third-party data visualisation tools.
• Ability to communicate complex findings in a structured and clear manner to a non-technical audience.
• Curious and persistent approach to investigating and uncovering insights across multiple data sources.
• Detail-oriented approach to ensure data and insights are accurate, replicable, and fit for decision-making.
• Good time management and ability to prioritise effectively.
• Ability to operate in a fast-paced, dynamic team environment.

Efficient and profitable supply chain performance depends on the Business Intelligence Manager, who maintains supplier volumes, vendor growth plans, and supplier scorecard data while building reports, dashboards, and cost analyses in Excel and MicroStrategy that cover factory, classification, category, and brand profitability. Serving as the BI systems super user and trainer across sourcing operations and in-country teams, this role coordinates the collection of cost metrics, benchmarking tools, and supplier agreements that give cross-functional teams the structured, actionable intelligence needed to drive sourcing decisions.

Core Functions

• Maintain supplier seasonal and historical annual year-over-year volumes.
• Maintain vendor growth plans at the unit and FOB dollar level.
• Manage quarterly supplier scorecard data compilation.
• Design and build reports, dashboards, and analyses in Excel.
• Work closely with sourcing operations to define, automate, and validate the extraction of new metrics from various data sources for use in future analysis and reports.
• Build reporting on material and SKU productivity and adoption rates.
• Serve as the business intelligence systems super user and trainer.
• Conduct macroeconomic trend and market intelligence analysis, including commodities, labour, and duty.
• Identify areas of improvement in business processes and propose solutions.
• Apply understanding of how processes should work to operational improvement initiatives.
• Develop deep cross-functional knowledge of supply chain processes.
• Serve as the point of contact for sourcing operations ad hoc projects.
• Conduct cost analysis by factory, classification, category, and brand to identify potential profitability opportunities.
• Gather and collate cost metrics, historical data, and benchmarking for pre-costing tools.
• Map business processes and document ways of working across sourcing offices and in-country teams.
• Collect and submit supplier profile agreements, manufacturing agreements, and relevant league and addendum agreements.

Qualifications & Experience

• Bachelor's degree or MBA, preferably in statistics, mathematics, economics, or data science.
• Three or more years of professional experience in mathematics, business intelligence, forecasting, or economics.
• Subject matter expertise in value-added services and packaging.
• Experience in documenting and optimising business processes.
• Good understanding of the entire supply chain process from design concept to receipt.
• Strong Excel skills, with proficiency across the full Microsoft Office suite, including PowerPoint, Word, Visio, and Outlook.
• Quantitative and analytical mindset, with the ability to collect, clean, and format raw data to extract actionable information.
• Strong command of written and spoken Thai is required.
• Detail-oriented with strong analytical, communication, customer service, and project management skills.
• Ability to work across teams and departments in a team environment.
• Ability to work in a fast-paced, rapidly changing, and flexible environment.

As the Business Intelligence Manager, this role leads the strategy of a newly developed BI function and designs, develops, and maintains dashboard reports that support cross-functional decision-making across Operations, HR, IT, Finance, Accounting, and Compliance. The VP of Business Transformation and the Senior Leadership Team rely on this work to quantify process improvement impact, monitor business transformation goals, and maintain a standardised, prioritised approach to reporting requests that serves all business stakeholders.

Primary Duties

• Help lead and develop the strategy of the newly developed business intelligence function.
• Design, develop, and maintain dashboard reports to be used by cross-functional department leads to support intelligent decision-making.
• Maintain and improve existing business-critical reports.
• Analyse ad hoc data to provide insights to key cross-functional teams, including Operations, HR, IT, Finance, Accounting, and Compliance.
• Operationalise the deployment of existing and future business insight tools.
• Develop supporting documentation, such as data dictionaries, to help the business digest new business insights.
• Participate in and co-lead sprint planning meetings and daily BI stand-ups.
• Implement and manage a standard way to prioritise reporting requests from all business stakeholders.
• Collaborate closely with the Data Management and Architecture team to develop prioritised business intelligence tools.
• Support and lead data discovery and gap analysis requests.
• Build effective relationships with all cross-functional leaders and teams to serve as the main point of contact and liaison for all data needs.
• Partner with the process improvement team to drive process improvement and quantify its impact.
• Participate in Executive Steering Committee meetings to discuss data-driven business insights.
• Provide the Senior Leadership Team with regular reporting related to business transformation goals.
• Lead the team of existing analysts, including effective performance monitoring.

Required Qualifications

• Bachelor's degree in Business, Finance, Economics, or a related field.
• Seven or more years of experience in a financial analyst, business intelligence, or data analyst role.
• Two or more years of experience in a management position.
• Intermediate to advanced proficiency in Microsoft Office software, specifically Power BI, PowerPoint, Excel, and Visio.
• SQL and Snowflake experience is a plus.
• Strong analytical skills with close attention to detail.
• Experience working with FP&A teams and providing financial reporting.
• Demonstrated ability to be analytically proactive and solution-oriented.
• Proven track record of thriving in a performance-metric-centric role.
• Demonstrated ability to manage multiple projects and drive projects with minimal supervision.

Business Intelligence Manager partners with key EMEA stakeholder groups as an internal analytics consultant, acting as a change agent to build a collaborative, data-driven community while delivering and evolving real-time, self-serve BI and predictive analytics solutions leveraging cloud infrastructure. The work directly supports the transition to real-time analytics capabilities across the region by applying expert knowledge of data visualisation tools, ETL processes, and enterprise database ecosystems to solve complex business issues and drive operational effectiveness.

Delivery Expectations

• Act as an internal analytics consultant, partnering with key stakeholder groups to create analytics solutions, manage and improve existing solutions, and identify areas of opportunity.
• Proactively collaborate with cross-functional teams and subject matter experts to create best practices and deliver consistent data, reporting, and insights.
• Act as a change agent within the organisation and build a collaborative community that leverages data to support business strategies and objectives.
• Actively participate in and influence discussions around reporting requirements, visualisation, and data design.
• Support the definition and derivation of KPIs to measure operational effectiveness and performance.
• Prioritise team workload for maximum impact and efficiency.
• Work with source systems, ETL tools, and SQL processes to understand, build, and debug the sources of visualisation data.
• Solve complex business issues through data-related tools.

Knowledge Skills & Abilities

• Extensive experience using data visualisation tools.
• Business or technical consulting experience.
• Behavioural, predictive analysis, and/or data analytics development experience.
• Expert knowledge of enterprise database tools and ecosystems.
• Expert-level understanding of data architecture, with demonstrated experience bridging business requirements and technical development.
• Experience working with large, complex data systems to aggregate, organise, and prepare data for use.
• Strong strategic thinking, prioritisation, and problem-solving skills in ambiguous and changing environments.
• Proven ability to handle multiple projects while meeting deadlines and documenting progress.
• Strong team leadership and collaboration skills with excellent business acumen.

The Business Intelligence Manager crafts measurement and analytics frameworks for internal and external business information, coordinating across Product, Sales, Marketing, Finance, and Operations to serve as the central BI hub and define KPIs that support OKR goals across all business functions. Reporting to senior management within a high-tech, customer-facing organisation, this role develops complex analytical dashboards that propose innovative ways to measure the customer journey and enable new business initiatives through thoughtful, data-driven insight.

Key Responsibilities

• Develop, execute, and optimise the measurement and analytics of internal and external business information.
• Develop processes and technical resources associated with data acquisition from internal and external sources.
• Establish best-in-class data analytics services for the measurement of all business functions, including marketing, sales, customer engagement, product engagement, and operational efficiency.
• Work with senior management to define and deliver KPIs that support OKR goals on an ongoing basis.
• Coordinate with and serve as the central business intelligence hub for all departments, including Product, Sales, Marketing, Finance, and Operations.
• Propose innovative ways to measure and enhance the flow of information to improve the customer journey.
• Contribute to new business initiatives by analysing business information and proposing thoughtful initiatives that contribute to business success.

Qualifications & Experience

• University degree in mathematics, business mathematics, or an equivalent qualification with an analytical focus.
• Five or more years of business intelligence experience, ideally in high-tech, customer-facing companies.
• Experience in creating complex analytical dashboards and reports, and defining KPIs aligned to business processes.
• Familiarity with data warehousing best practices, master data management, and big data solutions.
• A track record in defining and building a successful analytics and BI function, with relevant experience in strategic KPIs and OKR-driven companies.
• Experience working with business intelligence technologies suited to strategic and operational needs.
• Ability to navigate and execute across all levels, functions, and business units.
• Strategic thinker who combines business strategy with technical skills.
• Excellent written and verbal communication skills in English.