• Create the data links and reporting infrastructure to enable cross-analysis of multiple business systems.
• Use API programming to create data connections to ERP, Data Lake, Asana, Power BI, and others.
• Work on architecting, building, and launching highly scalable and reliable data pipelines to support REEF’s exponential data growth.
• Leverage data expertise to help evolve data models in various components of the data stack.
• Consistently evolve data model and data schema based on business and engineering needs.
• Data integrity and access develop tools supporting data pipeline management (ETL).
• Create reporting dashboards in BI tools such as Tableau/Looker to enable self-service analytics across the organization.
• Create on-demand analytics to highlight key areas of the business.
• Build and maintain detailed reporting models, including core KPIs and growth funnels, to assist city-level, regional, and expansion efforts.
• Work cross-functionally and globally with other teams across central operations, products, and city teams.

Skills: Data Engineering, API Programming, Scalable Data Pipeline Development, Data Modeling, Data Pipeline Management, Business Intelligence Reporting, Advanced Analytics, Reporting Model Development

• Drive and build with vision and passion the new Business Intelligence function.
• Oversee all activities related to data for a company, and monitor and drive key business decisions.
• Drive the design, development, and implementation of the analytics platform.
• Responsible for providing stakeholders with structured access to data.
• Design, develop, and maintain ongoing metrics, reports, analyses, and dashboards.
• Support Business Management and Financial Planning with forecasts, models, and projections of company performance.
• Collaborate with other teams in developing tools and services to feed data/solutions into their processes and systems.
• Support teams with their data needs to help them make informed/data-driven decisions and to let them deliver customized experiences to players.
• Coordinate with other teams to measure the impact and efficiency of new features and business processes.
• Find insights from data and provide recommendations and actions for operations teams that will further conduct business successfully.

Skills: BI Strategy, Data Analysis, Analytics Platform Development, Data Governance, Reporting, Dashboard Creation, Financial Forecasting, Cross-functional Collaboration

• Responsible for coordinating with different business lines. 
• Lead the development of a new data-centric decision-making strategy for the company.
• Identify KPIs, develop new datasets, and improve and maintain the existing ones.
• Develop and execute new data initiatives within the company.
• Reporting and deliverables strategy, and maintaining internal databases.
• Globally responsible for the company's data architecture.
• Add new data sources to databases and improve internal processes for data quality.
• Manage the end-user-facing ticketing system, assign and prioritize work for the team.
• Partner with teams to automate actions based on data, and engineer creative solutions for passing data between tools.
• Manage data records to maintain GDPR and CCPA data compliance.

Skills: Coordination, Data Strategy Development, KPI Identification, Dataset Development, Data Initiative Execution, Reporting, Database Maintenance, Data Architecture Management

• Develop and maintain a strong understanding of the business, and build strong relationships across the company.
• Partner with teams to leverage data to drive the best decisions and outcomes.
• Manage team to efficiently and effectively tackle complex data challenges, coach and develop team members.
• Build and maintain scalable infrastructure to provide teams with seamless access to data and insights.
• Extract, prepare, and ingest data from various sources, and set up ETLs to ready data for efficient access.
• Understand and document underlying data from multiple sources.
• Partner with the engineering team and external partners to ensure efficient data housing, transformation, and querying (Redshift, MySQL).
• Manage self-service tools for end-users across the company to explore a wide variety of data with little assistance.
• Partner with merchandising, marketing, finance, product, and ops teams.
• Understand partners' data needs, surface insights through reports and dashboards, and make recommendations.

Skills: Business Understanding, Relationship Building, Data-Driven Decision Making, Team Management, Infrastructure Development, Data Extraction, ETL, Data Documentation

• Manage and support a team of Business Intelligence Developers day to day activities.
• Build, update, and maintain BI roadmaps from a delivery perspective. 
• Effectively manage resourcing across deliverables and support for incidents.
• Champion data feasibility between Business requirements and Data sources.
• Effectively engage and enable the Management Information team to deliver reporting using appropriate technologies.
• Complete accountability of ETL/ELT pipelines (SSIS, Azure Data Factory).
• Effectively track stages of each deliverable, provide regular updates to the stakeholders on progress.
• Take part in the development work required to support the delivery to ensure best practices are followed throughout.
• Own and grow data warehouse and self-service tools to combine data from a variety of sources to allow for greater business understanding and data insights.
• Lead the development of database and cube artifacts into reporting front-end tools to create end-user self-service capability.

Skills: Team Management, BI Roadmap Development, Resource Management, Data Feasibility Assessment, Technology Engagement, ETL/ELT Pipeline Management, Project Tracking, Reporting

• Provide relevant user training for information gathering and analysis from both reporting, dashboarding aspects, and self-service capabilities.
• Seamlessly integrate across Delivery teams across the business, identify and scope new deliverables in line with ongoing sprints.
• Address efforts and ETA’s for new and upcoming project deliverable initiatives.
• Proactively identify application improvements and identify the best technical solution for implementation, keeping in mind the end-state architecture.
• Peer review solutions, code throughout sprints, and ensure codebases are managed effectively in line with releases and ongoing parallel workstreams.
• Plan and provide post-live support for all ETL/data warehouse developments in line, keeping stakeholders up to date throughout.
• Mentor, coach, and guide developers by defining career paths while keeping in mind the business benefits as well.
• Create processes to triage internal requests and boost internal productivity by spending time on what’s important.
• Optimize processes and operational performance by reducing time spent on data entry and manipulation.
• Benchmark data against competitors and historical data for continuous improvements.
• Support the finance team in building business cases for capital allocation.

Skills: Training, Project Management, Problem Solving, Solution Identification, Code Review, Post-Live Support, Stakeholder Management, Process Improvement

• Lead development and maintenance of operational, analytic, dashboard, and executive-level reporting using Tableau, Pentaho, Looker, SSRS, and other BI tools.
• Interact with functional business units to analyze, gather, and prioritize business and reporting requirements.
• Assume a leadership role in designing and implementing effective data architecture, including database models to store and retrieve data.
• Formulate and provide status updates on project plans and schedules to meet goals/objectives.
• Create and enforce corporate standards for data warehouse design and data integrity.
• Ensure data architecture supports existing and future requirements of the evolving business model
• Manage and mentor a team of developers, providing guidance to team members and implementing development plans to ensure the growth of team members.
• Evaluate, test, and assist in the selection of Reporting and BI tools.
• Monitor and stay abreast of key developments in the BI industry

Skills: BI Tools Proficiency, Business Analysis, Data Architecture Design, Project Management, Data Warehouse Standards, Team Management, Tool Evaluation, Industry Knowledge

• Establish and execute a clear vision for delivering data-driven insights and solutions to key business stakeholders.
• Collaborate with teams to ensure that information delivery aligns with strategic goals and operational priorities.
• Analyze data trends and provide actionable recommendations for process improvement and report standardization.
• Consolidate reporting formats to enhance usability and consistency across the organization.
• Identify and implement strategies to optimize the generation and distribution of business information.
• Review and evaluate website and application enhancement requests to ensure key performance actions are measurable and reportable.
• Plan and prioritize resource allocation based on effort, impact, and business priorities.
• Contribute to marketing budget planning and provide analytical input to guide spending decisions.
• Define and document system requirements for new digital initiatives while partnering with senior leadership to shape the overall vision and roadmap.

Skills: Data Analysis, Business Intelligence, Strategic Planning, Process Optimization, Reporting and Visualization, Stakeholder Collaboration, Digital Transformation, Resource Management

• Lead, manage, and execute market research projects across the region.
• Review and validate final research reports, sharing key findings with marketing teams and other stakeholders.
• Develop and deliver monthly reports and key performance indicators (KPIs) to track market and business performance.
• Conduct market and commercial assessments, preparing forecasts for existing products, new launches, indications, and formulations.
• Oversee Demand Chain Sales Forecast submissions and coordinate related communications within the organization.
• Perform competitive intelligence activities to monitor market trends, competitor movements, and strategic shifts.
• Provide expert analysis on oncology markets and commercial operations to support informed business decisions.
• Contribute strategic insights to the brand planning process to ensure alignment with market needs and business goals.
• Identify and share best practices from product launches to ensure consistent execution and success across countries in the region.

Skills: Market Research, Data Reporting, Competitive Analysis, Strategic Planning, Demand Forecasting, Stakeholder Communication, Brand Strategy, Performance Tracking

• Gather relevant data from internal company resources.
• Collaborate closely with cross-functional teams, business analysts, and subject matter experts.
• Analyze business processes and requirements and translate them into effective reporting solutions.
• Identify opportunities to improve processes, database management, and reporting efficiency through technology-driven solutions.
• Design, develop, deploy, and maintain complex business intelligence (BI) solutions utilized by various levels of management.
• Translate business dashboard requirements into Power BI visualizations supported by accurate and optimized back-end data.
• Analyze data to identify problem areas within company processes.
• Recommend solutions to eliminate inefficiencies, reduce issues, and enhance profitability.
• Create detailed reports and presentations for upper management to support strategic decision-making.

Skills: Data Analysis, Cross-Functional Collaboration, Business Process Improvement, BI Development, Power BI Visualization, Data Management, Process Optimization, Strategic Reporting

• Extract solicitation lists from MS SQL Server or comparable database systems.
• Clean and refine datasets according to predefined criteria using SQL and R.
• Load the processed data into designated survey platforms such as SurveyMonkey, Google Forms, WebSurveyCreator, or Qualtrics.
• Monitor survey participation and track response progress in real time.
• Highlight and document noteworthy or ad hoc feedback from respondents.
• Analyze collected data using Excel, R, or similar analytical tools.
• Develop Power BI dashboards and reports to visualize survey findings effectively.
• Perform quality assurance checks throughout all research stages to ensure data accuracy and integrity.

Skills: SQL Data Management, Data Cleaning, Survey Administration, Response Tracking, Feedback Analysis, Data Visualization, Power BI Reporting, Quality Assurance

• Strengthen the company’s competitive position by developing innovative solutions that expand the potential customer base.
• Create and implement monitoring methods to ensure customers experience the AA aesthetic portfolio in a balanced and effective manner.
• Track industry trends and identify emerging opportunities to enhance market positioning.
• Provide strategic recommendations to capitalize on identified opportunities.
• Develop data-driven solutions to optimize geographical team distribution and maintain balanced workloads.
• Establish and manage database infrastructures, ensuring systems such as Invoice and Veeva are fully integrated and compatible.
• Play an active role in new product launches and process creation, including market potential assessment, team structuring, quota allocation, and incentive planning.
• Organize and manage monthly Sales and Regional KPI meetings, including documentation and follow-up on action points.
• Build robust infrastructure and data management systems to enhance customer outreach through alternative channels.
• Foster collaboration across departments to align operational efficiency with strategic business objectives.

Skills: Market Strategy, Trend Analysis, Data-Driven Solutions, System Integration, Product Launch Support, KPI Management, Customer Insights, Cross-Functional Collaboration

• Collaborate with operations, product management, and software development teams to design and implement KPIs, reporting solutions, and data infrastructure enhancements.
• Develop scalable, automated, and user-friendly dashboards and reports to meet evolving business needs.
• Write and optimize high-quality SQL queries to retrieve, analyze, and transform data from platforms such as Redshift and MySQL.
• Build a deep understanding of the company’s data ecosystem to effectively identify and utilize the most relevant data sources.
• Apply advanced analytics and business intelligence techniques to uncover actionable insights.
• Integrate analytical models into data systems to generate data-driven recommendations that guide strategic decision-making.
• Ensure all data products are accurate, reliable, and accessible to key stakeholders.
• Lead and manage a high-performing analytics team, including hiring, training, and professional development.
• Cultivate an engaged, motivated, and continuously learning team culture focused on excellence in analytics.

Skills: Data Engineering, Dashboard Development, SQL Optimization, Data Analysis, Business Intelligence, Predictive Modeling, Data Governance, Team Leadership

• Oversee and grow a multidisciplinary team of data analysts and workforce management professionals supporting business intelligence, financial planning and analysis, product analytics, and operational strategy.
• Lead business intelligence efforts by delivering telemetry, detailed insights, and dashboards that drive operational excellence in large-scale moderation processes.
• Manage financial planning and analysis to forecast work drivers, productivity, and resourcing needs, while overseeing budgeting and expense tracking for moderation operations.
• Develop and implement analytical frameworks and reporting to guide strategic business decisions and identify opportunities for demand and fulfillment optimization.
• Drive product analytics initiatives to instrument and analyze moderation tool usage, providing insights to enhance productivity, workforce management practices, and training processes.
• Lead workforce management operations, including vendor planning, forecasting, scheduling, and work distribution across sites and channels, with a focus on efficiency and continuous improvement.
• Collaborate with cross-functional teams to align analytical outputs with business goals and operational strategies.
• Ensure the delivery of accurate, actionable, and data-driven insights that enable informed decision-making.
• Foster a high-performing team culture focused on innovation, analytical excellence, and continuous development.

Skills: Team Leadership, Business Intelligence, Financial Analysis, Strategic Reporting, Product Analytics, Workforce Management, Cross-Functional Collaboration, Data-Driven Insights

• Design and implement business intelligence and reporting solutions focused on revenue forecasting, annual planning, and commercial analytics.
• Define the structure, characteristics, and behavior of software and analytical solutions, ensuring clarity for project stakeholders.
• Translate business objectives into well-defined solution features, phases, and requirements.
• Provide detailed specifications for the development, management, and delivery of business intelligence solutions.
• Analyze large-scale enterprise data and present consolidated insights to senior management, highlighting risks, opportunities, and performance trends.
• Lead business process optimization initiatives using Lean and other methodologies to enhance operational efficiency and improve key performance indicators.
• Support the preparation of operating reviews, strategic planning sessions, and budget review meetings.
• Collaborate with sales, finance, and operations teams to ensure that all analytical and reporting solutions align with stakeholder needs.
• Deliver ad-hoc analyses and respond to stakeholder requests to improve visibility and enable data-driven decision-making.
• Work proactively across operations teams to address interdependent and cross-project issues, ensuring effective coordination between global, regional, and local teams.
• Support additional initiatives and responsibilities in alignment with global operations strategy and organizational goals.

Skills: BI Development, Revenue Forecasting, Solution Architecture, Data Analysis, Process Optimization, Strategic Planning, Cross-Functional Collaboration, Operational Efficiency

• Provide strategic leadership in analytics, data linkage, and business integration to ensure BI functions align with evolving organizational needs.
• Anticipate future business challenges and guide the team in adapting, driving, and supporting change across the Janssen business and its partners.
• Ensure optimal utilization of existing BI platforms while strategically evaluating emerging technologies and capabilities.
• Manage relationships with external data providers to maintain service continuity and assess new data solutions.
• Lead the annual Business and Strategic Planning process, including the coordination and refinement of patient forecast models.
• Oversee sales data consolidation, reconciliation, and collaboration with Finance to continuously enhance forecasting accuracy.
• Support, coordinate, and develop the BI team by coaching members and fostering professional growth.
• Engage and collaborate with internal stakeholders, vendors, and partners to facilitate data access and enable informed decision-making.
• Generate and deliver impactful insights and recommendations through advanced analytics and connected datasets.
• Identify opportunities to expand enterprise analytic capabilities, test innovative concepts, and integrate new data sources.
• Build and maintain strong partnerships with business units to drive insight-based decision-making, identify risks and opportunities, and support strategic initiatives such as product launches and lifecycle management.

Skills: Analytics Leadership, Business Integration, Technology Evaluation, Data Partnership Management, Strategic Planning, Forecasting Accuracy, Team Development, Stakeholder Collaboration

• Experience in business intelligence, market analysis, and market research.
• Highly numerate with excellent analytical skills.
• A willingness to learn and understand the relevant therapy areas.
• Focused on delivering tangible results to tight deadlines.
• Technically proficient in market analysis and forecasting, including expert use of Excel.
• In-depth and breadth of knowledge in pharmaceutical analytics and market research techniques, and methodologies.
• Knowledge of the standard pharmaceutical market data sources.
• Excellent oral and written communication skills with strong project management skills.
• Good attention to detail and tenacity to ensure problems are identified and solved.
• A team player with strong interpersonal skills to develop the necessary relationships both internally and externally.

Qualifications: BA in Business Administration with 7 years of Experience

• Solid experience in designing and implementing robust data pipelines and ETL frameworks.
• Proven experience as a data warehouse architect and developer, including full implementation of data warehousing solutions.
• Strong expertise in data warehouse design methodologies and technologies, data modeling (data vault experience), data quality, and metadata.
• Able to build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources, applications, and platforms.
• Ability to integrate multiple data sources and user-end applications with databases into one system.
• Good understanding of enterprise design concepts such as reusability, continuous integration, security, scheduling, monitoring, etc.
• Exposure to cloud technologies (MS Azure, AWS) and desire to learn and deliver new things on a needs basis (big data, BI, data science, etc.).
• Must have proven in completing at least one end-to-end Data Warehouse Project.
• Expertise in all areas of data warehousing (architecture, data sourcing/acquisition, integration, transformation, presentation).
• Experience in logical and physical database design for data warehousing (3NF/Star Schemas), including SQL writing/tuning on MPP platforms.

Qualifications: BS in Information Systems with 6 years of Experience

• IT experience in the areas of Data Warehousing and Business Intelligence. 
• Experience providing data integration solutions in a large-scale enterprise.
• Experience in environments primarily using MPP databases such as Teradata.
• Experience in developing automated frameworks, templates, and design patterns.
• Experience working with complex data inputs and processes, with people management experience.
• Passion for data and an understanding of how data can be utilized.
• Proven ability to partner with business teams and translate business requirements into business solutions.
• Demonstrated analytical problem-solving skills and expertise with a process improvement mindset.
• Strong visual presentation skills related to reports, scorecards, dashboards, and presentations.
• Strong skills in RDBMS, SQL, Salesforce, Tableau, Excel, and other analytical tools for data extraction and analysis.

Qualifications: BA in Economics with 10 years of Experience

• Exceptionally strong written and verbal communication skills.
• Prior experience and passion for leveraging data to drive significant business impact.
• Ability to speak to large groups with advanced presentation skills.
• Ability to perform critical thinking in the area of data analysis and processing.
• Proven leadership and ability to coach and develop a team.
• Familiar with big data concepts and architecture, and cloud data architecture.
• Supervisory experience with experience managing multiple teams consisting of employees and contractors.
• Experience as an ETL developer, QA Engineer, Build Engineer, or other role.
• Experience involving daily interaction with development practices.
• Experience involving daily interaction with software development practices.

Qualifications: BS in Computer Science with 7 years of Experience

• Relevant experience in the Financial Services industry and Compliance Solutions.
• Experience working as an Applications Development Manager.
• Experience at a senior level in an Applications Development role.
• Stakeholder and people management experience.
• Demonstrated leadership skills and proven project management skills.
• Basic knowledge of industry practices and standards.
• Clear and concise written and verbal communication.
• Possess the intellectual curiosity to work through ambiguity.
• Ability to prioritize and organize effectively, and manage multiple projects/assignments.
• Must have proficiency in Microsoft Excel and Access.
• Expert understanding of lending and card business.

Qualifications: BA in Statistics with 5 years of Experience

• Experience in data analytics/data mining and statistical methods application, with solid experience managing teams.
• Programming-related knowledge and experience (SQL, Python, MATLAB, R, VBA).
• Strong data visualization skills, such as Excel pivot tables, Tableau, etc.
• Familiar with data warehouse (architecture) and machine learning.
• Ability to communicate findings clearly to both technical and non-technical audiences.
• Comfortable working in a geographically distributed and cross-functional, multicultural environment.
• Ability to translate technical jargon and conversation in multiple ways, so multiple users can understand.
• Strong analytical skill set with a clear business impact focus.
• A true advocate of a data-first approach who spreads the passion for data to the wider organization.
• Background in delivering commercial benefits through embracing data.

Qualifications: BS in Data Science with 9 years of Experience

• Working in a BI Analytics area with a leadership/people management role for a digital team.
• Experience in retail, wholesale, or CPG organization, and a global organization.
• Experience in managing complex enterprise-scale BI projects.
• Energetic with good written and verbal communication, presentation, and interpersonal skills.
• Have the confidence to interact with all levels within the organization.
• Ability to collaborate cross-functionally, influence and implement change in a Global and Cluster setting.
• Demonstrated ability to quickly build rapport and credibility that translates into trust and confidence in data-driven decision-making.
• Willing to challenge the status quo diplomatically to deliver insightful findings that will give new perspectives and discoveries.
• Ability to quickly translate and map business strategy into an information strategy with a focus on reporting and analytics.
• Proven ability to establish and articulate a vision, set goals, develop and execute strategies, and track and measure results.
• Seasoned in analytics and reporting with a solid understanding of key BI trends, including Operations, Product and Merchandising, Marketing and Digital, Retail, Financial, IT, HR, Clusters, and Markets analytics.

Qualifications: BA in Mathematics with 8 years of Experience

• Work experience in analytics, strategic marketing, planning, and/or financial analysis.
• Excel in research, analytical, and critical thinking.
• Experience with SQL and working with large data sets.
• Experience with complex data stories, simplifying and effectively presenting them in a manner that the audience understands and acts on the insights.
• Good data mining and visualization skills.
• Ability to create compelling narratives to influence decision makers.
• Ability to build detailed and compelling financial business cases.
• Value-based marketing/CRM experience.
• Experience working with other teams (finance/marketing) towards a common vision and goals.
• High proficiency with Microsoft Office and G Suite.
• Presentation experience with executive leadership.
• Tableau Desktop experience.

Qualifications: BS in Software Engineering with 5 years of Experience

• Experience in a quantitative role.
• Experience in people management.
• Working knowledge of programming and SQL.
• Experience with financial systems and concepts.
• Familiarity with analytics methods/theory (e.g., statistics, machine learning, etc.) and ability to identify opportunities to apply these.
• Experience leading the design and implementation of BI solutions that transform raw data into actionable business insights.
• Skilled in mentoring analysts and developing BI team capabilities through structured training, performance reviews, and goal alignment.
• Experience managing data governance processes, ensuring data accuracy, consistency, and compliance across systems.
• Knowledge of business process optimization and how to use BI insights to inform strategic decision-making.
• Understanding of performance metrics, financial modeling, and forecasting techniques for strategic business planning.
• Ability to thrive in environments with multiple cross-functional stakeholders with competing agendas, by bringing people together to achieve a common goal.
• Excellent stakeholder management skills, including expectation setting, education, conflict management, prioritization, etc.

Qualifications: BS in Data Science with 7 years of Experience

• Experience in investigating and solving complex problems and data discrepancies.
• Good visualization/storyboarding skills to present insights and recommendations in concise, consumable narratives.
• Knowledge of DW data domains, and able to extract data using queries (SQL, Alteryx, R, Python).
• Experience in Microsoft and/or Google Suites of products, e.g., PowerPoint, Slides, Excel, Sheets, etc.
• Familiarity with data visualization software, such as Tableau, QLIK, and ThoughtSpot.
• Proven ability to conduct root-cause analysis and build automated monitoring dashboards to detect anomalies and data inconsistencies.
• Skilled in developing data models and visualization prototypes that align with business narratives and decision-making needs.
• Ability to prioritize, manage, and deliver multiple complex projects against key deliverables and timelines.
• Strategic thinker who is comfortable working both independently and in a team setting.
• Capable of balancing the needs of multiple stakeholders.
• Effective communication skills with the ability to influence and set expectations across various functional teams, and across all levels within the organization.
• Business Intelligence Certification (CPBI).

Qualifications: BS in Information Systems with 6 years of Experience

• Proficiency in end-user applications (e.g., Excel, PowerPoint, Access).
• Experience with dashboarding tools (e.g., QlikView, Qlik Sense, Tableau, Power BI).
• Experience with cubes and relation-based databases, tools, and languages.
• Experience developing and optimizing interactive dashboards and data visualizations that transform complex datasets into actionable business insights.
• Experience collaborating with IT and data engineering teams to integrate multiple data sources into relational and multidimensional databases.
• Skilled in automating recurring reports and building self-service BI tools to streamline business operations.
• Strong data management skills with an attention to detail.
• Excellent problem-solving skills with the ability to exercise sound judgment and make solid recommendations.
• Ability to adjust quickly to meet business priorities.
• Strong written and oral communication skills with the ability to present information in differing degrees of detail and form depending on the audience.
• Strong interpersonal skills, ability to build relationships with cross-functional teams.
• Collaborative, results-oriented attitude, integrity and dedication, professional attitude, appearance, and demeanor.

Qualifications: BS in Management Information Systems with 3 years of Experience

• Experience in Business Solution Delivery, Sales Strategy, and Analysis.
• Good business financial analysis knowledge and experience.
• Strong knowledge of the business products and services and their relative contribution to profitability, explain and discuss topics connected to data and insights findings.
• Strong experience in consumer finance and data analytics.
• Strong knowledge and experience with reporting tools, databases (DWH, SQL/PL, etc).
• Good knowledge of CTI/Telephone infrastructure, routing strategies, inbound & outbound campaigns, outbound processes, SIP, OCS, VOIP in banking and finance.
• Experience collaborating with technology and product teams to design scalable reporting frameworks and data-driven performance dashboards.
• Skilled in identifying process inefficiencies, defining KPIs, and implementing automation to improve business decision cycles.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Ability to interpret/analyze data/build modelling.
• Good at presentation, negotiation, and communication skills in English, both written and spoken.
• Demonstrated leadership, team building, and performance management skills.

Qualifications: BS in Business Analytics with 9 years of Experience

• Professional experience in the data area within a SAS environment, e.g., Reporting Analyst, BI Specialist, BI Developer, BI Analyst, Data Analyst, Data Engineer, or Data Warehouse Developer.
• Some experience in the financial services industry, ideally in commercial banking, payment area, or within the credit business.
• Good knowledge of SAS and fluent in SQL.
• Experience working with Tableau.
• Good knowledge of any of the following: Power BI, R, Python, Hadoop.
• Proven success in building interactive dashboards and analytical reports to monitor KPIs and business performance.
• Skilled in optimizing large-scale data processes and improving data model efficiency for reporting accuracy and speed.
• Experience performing exploratory data analysis (EDA) and statistical modeling to identify customer behavior patterns and portfolio risks.
• Familiarity with data governance frameworks, ensuring compliance, quality control, and lineage documentation.
• Awareness of financial KPIs, risk indicators, and customer segmentation analytics within banking and payments.
• Strong problem-solving mindset, analytical, and logical thinking.
• Clear communicator, proactive learner, and highly adaptable and collaborative.

Qualifications: BS in Computer Science with 4 years of Experience

• Experience within business analysis, data analysis, or product management.
• Experience with web applications, web technologies, and distributed computing environments
• Exposure to customer implementation and maintenance issues in a consulting, support, and/or product management role.
• Familiarity with enterprise corporate law departments and AmLaw 200 firms.
• Legal and/or compliance technology industry experience.
• Exceptional written and oral communication skills, able to effectively present in customer-facing situations and in large presentation settings.
• An assertive, direct communication style, with the ability to motivate others across the company.
• A self-starter who is a collaborative, energetic, and hands-on team player.
• Ability to translate high-level requirements into detailed specifications.
• Strategic planning skills and excellent execution, prioritization, and organization skills.
• Strong analytical skills in measuring opportunities and product performance.
• Ability to adjust, respond, and manage a changing list of priorities to meet deadlines.

Qualifications: BA in Economics with 5 years of Experience

• Experience at SCQF Level 9 or above.
• Significant experience in the relevant commercial/public sector.
• Experience in manipulating and collating data from multiple sources to answer questions used for making business decisions.
• Experience in Educational and commercial Database Management Systems.
• Experience working in a fast-paced environment, managing multiple complex tasks and projects.
• Strong team worker who is outcome-focused and a good communicator across all levels of the college.
• Ability to motivate and to inspire creativity in the achievement of objectives
• An analytical problem solver and influencer who maintains a high attention to detail, and is adaptive, creative, and flexible in approach to new activities and challenges.
• Able to initiate and develop innovative solutions to data and business process issues.
• Able to manage small to medium projects and associated governance obligations, delivering efficient and effective results.
• Ability to manage direct and inspire matrixed and dedicated team members.
• Can seek continuous improvement in data and MIS obligations along with interfacing disciplines.

Qualifications: BA in Statistics with 7 years of Experience

• Experience in Finance, Strategy Consulting, and/or Competitive Intelligence Analysis
• Experience in both qualitative and quantitative market research, including data analysis, competitive intelligence, data synthesis, SWOT analysis, and data-driven recommendations.
• Strong understanding of the FMCG business environment.
• Proven track record in developing competitive benchmarking reports that inform pricing, product positioning, and go-to-market strategies.
• Experience collaborating with finance, marketing, and commercial teams to integrate intelligence findings into strategic decision-making.
• Skilled in building financial and strategic models that evaluate business performance, forecast market trends, and support investment decisions.
• Experience in presenting actionable insights and strategic recommendations to senior management and cross-functional stakeholders.
• Familiarity with data analytics platforms and visualization tools (e.g., Power BI, Tableau) for communicating competitive insights effectively.
• Strong analytical skills with demonstrated ability to accumulate, evaluate, and generate insights from disparate data sources.
• Ability to structure, synthesize, and think strategically.
• Responsive, organized, and able to handle concurrent projects.
• Strong English communication skills, ability to articulate insights clearly.

Qualifications: BA in Marketing Analytics with 6 years of Experience