BI MANAGER JOB DESCRIPTION

Review BI Manager job descriptions from top employers to learn what qualifications, tools, and experience this role typically requires.

BI Manager Job Description Template

1. About the Role

A BI Manager is the person who decides what the data means for the business. Most organizations accumulate dashboards and reporting pipelines without a clear owner who ties those outputs to strategic decisions - this role fills that gap by setting data governance standards and translating stakeholder OKRs into measurable KPI frameworks. The position typically oversees a team of analysts and data engineers, sitting above execution-level BI work and below director-level strategy. What makes it demanding is the dual accountability: keeping the data infrastructure sound while ensuring every report produced actually changes a decision.

2. Position Summary

As the BI Manager, you will own the organization's business intelligence function - from data governance policy and KPI design to analyst team performance and executive-level reporting delivery. You will operate across product, finance, operations, and marketing stakeholders, with the team reporting into you and your output feeding directly into board-level and senior leadership decision cycles.

3. Why Join Us

Career Impact: Managing a cross-functional BI team and owning the data governance framework puts you on a recognized path toward Director of Analytics or Chief Data Officer roles within enterprise organizations.

Business Impact: The dashboards and KPI frameworks this role produces are the primary lens through which senior leadership evaluates commercial performance, making your analytical judgments directly consequential to resource allocation and strategy.

Growth Opportunity: Exposure to data warehouse architecture, agile BI delivery, and OKR-aligned measurement gives you a portfolio of competencies that command senior compensation in both corporate and consulting markets.

4. Key Responsibilities

  • Define the organization's KPI framework in collaboration with senior leadership to align BI output with OKR-driven business goals.
  • Lead analyst and data engineering teams across requirements intake, prioritization, and delivery against agreed service level agreements.
  • Design and maintain data governance standards covering data quality, lineage documentation, and compliance assurance.
  • Partner with product, finance, marketing, and operations stakeholders to translate business questions into structured analytics use cases.
  • Develop and deliver executive-level reporting packages covering performance trends, forecasting, and root cause analysis.
  • Mentor analysts and junior BI staff through regular one-on-ones, structured career discussions, and skills development planning.
  • Evaluate data architecture landscape and recommend improvements to support organizational scalability and reporting coverage.
  • Monitor dashboard usage and stakeholder feedback to drive continuous improvement of analytical products.

5. Required Qualifications

  • Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Finance, or equivalent work experience.
  • 5 or more years of business intelligence or data analytics experience, with demonstrated responsibility for team leadership and stakeholder management.
  • Proven ability to translate business requirements into data models, reporting structures, and KPI definitions that pass executive scrutiny.
  • Experience designing and maintaining data warehouse environments including dimensional modelling, ETL pipeline oversight, and data quality management.
  • Strong working knowledge of SQL for data extraction, query optimization, and ad-hoc analytical support.
  • Demonstrated experience managing competing stakeholder demands across product, finance, and operations functions simultaneously.
  • Clear written and verbal communication skills, with a track record of presenting quantitative findings to non-technical senior audiences.

6. Preferred Qualifications

  • Experience with agile BI delivery methodology including sprint planning, backlog prioritization, and iterative dashboard development.
  • Background in building or formalizing a BI function from early-stage, including establishing governance policy and team structure.
  • Familiarity with cloud data platforms and columnar storage concepts relevant to large-scale analytical workloads.
  • Advanced degree in a quantitative discipline or a recognized data analytics certification.

7. Success Metrics and Environment

  • Dashboard adoption rate, measuring the share of target stakeholder groups actively using delivered BI products.
  • KPI definition coverage, tracking the percentage of OKR goals supported by a documented and agreed measurement framework.
  • Data quality error rate per reporting cycle, reflecting governance standards maintained across active pipelines.
  • Stakeholder-reported reporting accuracy score, measuring confidence in BI outputs among executive and operational users.
  • Analyst team delivery rate against sprint commitments, indicating how reliably the team meets agreed intake timelines.
  • Typical tools: SQL Query and Transformation (commonly PostgreSQL or SQL Server), visualization (commonly Tableau or Power BI), project tracking (commonly Jira).

8. Compensation and Benefits (US Market Benchmark)

  • Base Salary Range: $115,000 to $155,000 annually depending on scope and industry.
  • Bonus: 10% to 20% annual performance bonus tied to team and company targets.
  • Equity: Stock options or RSUs common at mid-to-large technology and enterprise employers.
  • Health Benefits: Medical, dental, and vision coverage for employee and dependents.
  • PTO: 15 to 20 days annually plus public holidays and sick leave.
  • Common Perks: Professional development budget, conference attendance, remote or hybrid flexibility.


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

9. EEO and Legal

Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other characteristic protected under applicable federal, state, or local law. Candidates requiring a reasonable accommodation during any part of the application or hiring process may request one at any time. Final offers are contingent on successful completion of a background check. Applicants must be authorized to work in the United States.

BI Manager Job Description Example

1. BI Manager (Statistical Analytics)

The BI Manager owns the end-to-end statistical reporting and compliance governance cycle, managing competing stakeholder demands and deputising for the Head of Department at key meetings. Working across technology, finance, sourcing, and procurement teams, this role enables evidence-based performance improvement by translating quantitative analysis into actionable process efficiency proposals.


Key Responsibilities

  • Manage statistical reporting, data extraction, analysis, and presentation to meet stakeholder information needs.
  • Oversee strategic information governance projects and contribute to compliance policy development.
  • Identify and deliver process efficiency improvements through structured business proposals.
  • Coach, train, and support analysts to effectively interpret and use available information.
  • Lead, motivate, and deputise for the Head of Department at key meetings as required.
  • Drive best practice data governance and compliance assurance across all interactions.
  • Manage competing stakeholder demands, adapting to changing priorities as appropriate.


Required Qualifications

  • BA or BS degree in Engineering, Statistics, Math, Economics, or related field, MS degree is a plus.
  • Minimum 5 years of experience solving analytical problems using quantitative approaches.
  • Experience in quantitative analysis, data mining, forecasting, regression analysis, and dashboard development.
  • Experience leading multiple programs from ideation to implementation and change management.
  • Experience working with technology, finance, sourcing, and procurement teams to identify trends and opportunities.
  • Proficiency in SQL and Python-based ETL frameworks for automating analyses and building pipelines.
  • Strong communication skills with ability to present technical analysis to non-technical audiences.

2. BI Manager (Agile Delivery)

Reporting to senior leadership, the BI Manager delivers BI workloads and experiments using agile methodology within time and budgetary commitments, managing the full service model from qualification to delivery. Partnering with product owners, executive sponsors, and cross-functional teams, this role strengthens the BI operating model by building internal capability across people, process, and services.


Core Functions

  • Manage BI workloads and experiments using agile delivery methodology within time and budgetary commitments.
  • Lead stakeholder management and playback with product owners, executive sponsors, and external teams.
  • Define and prioritise the platform portfolio and product backlog in collaboration with leadership.
  • Resolve roadblocks, manage risks, and oversee BI service model and service level agreements.
  • Manage BI operations from qualification to delivery, including vendor engagement and contracting.
  • Fulfil line management responsibilities across diverse teams, managing performance and output delivery.
  • Build internal BI team capability and support the maturity of the BI operating model across people, process, and services.
  • Establish new ways of working to make optimal use of information and insights across the business.


Qualifications and Experience

  • 7 or more years leading delivery of business intelligence, data warehousing, or analytics initiatives.
  • Functional experience in at least two of the following: data strategy and governance, analytics, MIS, data management, BI, IT, or management consulting.
  • 2 or more years of financial services industry experience preferred.
  • Hands-on experience with Agile or Scrum delivery management.
  • Experience with BI or analytics platforms such as Cloudera, Hadoop, Informatica, SAP HANA, or SAP Business Objects preferred.
  • Vendor engagement and management experience including contracting and negotiation skills.
  • Strong presentation and facilitation skills.

3. BI Manager (CPG Analytics)

Embedded within a cross-functional analytics environment, the BI Manager partners with Data Engineers and business end-users to design and deliver scalable dashboards, reports, and data models using Tableau and Snowflake. Working closely with department leaders and analysts, this role enables data-driven decisions by applying statistical rigor to ad-hoc business questions and continuously improving data quality and consistency.


Primary Duties

  • Partner with cross-functional stakeholders to design, develop, and maintain scalable metrics, reports, analyses, and dashboards.
  • Evaluate business processes, uncover areas for improvement, and develop and implement solutions.
  • Deliver end-to-end BI projects including scoping, planning, development, and Tableau dashboard delivery.
  • Guide analysts to execute on project requirements and develop their skills and business knowledge.
  • Collaborate with Data Engineers to develop efficient, high-integrity data models.
  • Apply analytical and statistical rigor to answer ad-hoc business questions and drive decisions.
  • Recommend strategies to improve department effectiveness, data quality, and consistency.
  • Monitor usage and survey end-users to validate solutions and drive required enhancements.


Skills and Qualifications

  • BS degree in Math, Finance, Engineering, Statistics, Business, or related discipline, MBA or master's degree in a quantitative field preferred.
  • 3 or more years in Business Intelligence, Data Analytics, Management Consulting, or CPG industry.
  • Proven analytical and quantitative skills with ability to use data and metrics to develop business cases.
  • Experience with Snowflake, SAP HANA, Azure, and statistical or data modelling with R or Python.
  • Proficiency in SQL, Tableau, Tableau Prep, and Excel.
  • Strong business acumen, interpersonal, and negotiation skills with ability to influence cross-functional teams.

4. BI Manager (Cross-Functional Programs)

Sitting at the intersection of business strategy and data engineering, the BI Manager owns cross-functional BI projects spanning product definition, roadmap, resource planning, and execution while providing program updates to executive leadership at Amazon. Operating across product management, engineering, and operations teams, this role advances scalable automated processes and machine learning efforts that support global business growth.


Duties


  • Own cross-functional BI projects including product definition, roadmap, resource planning, and execution.
  • Collaborate with business, operations, and executive leadership to define technical products and provide program updates.
  • Manage all aspects of BI projects including planning, requirements definition, risk management, and implementation.
  • Identify innovative solutions to project deadlocks and resolve constraints through consensus and sound judgment.
  • Improve development standards and introduce new capabilities to the team.
  • Hire, mentor, and develop BI talent, supporting their engineering career paths and goals.
  • Establish scalable, automated processes for tracking and reporting on initiative progress.
  • Provide insights to business and Product Management teams as new initiatives are identified and deployed.


Experience and Qualifications

  • Degree in Computer Science, Mathematics, Statistics, Finance, or related technical field, Master's degree preferred.
  • 5 or more years of experience as a business intelligence engineer or analyst creating reports and using metrics for business decisions.
  • 5 or more years of hands-on experience in data extraction, transformation, and data mining.
  • 5 or more years of experience in projects involving cross-functional teams.
  • Knowledge of Machine Learning techniques preferred.
  • Professional experience with SQL, Excel, and data visualization tools such as Tableau or QuickSight.
  • Strong written and verbal communication skills across multiple levels of leadership.

5. BI Manager (FMCG Industry)

A key member of the management board support function, the BI Manager gathers and analyzes internal and external data to diagnose business problems and develop BI systems that drive short-term and long-term decisions. Collaborating across marketing, communications, and outsourced research partners, this role enables informed strategic planning and improved profitability through structured analysis and actionable recommendations.


Functions

  • Gather and analyze data from internal and external sources to identify problem areas in company processes.
  • Build strategic analysis templates to diagnose business problems and advise the management board on improvements.
  • Provide marketing and customer insights to support strategic and project execution planning.
  • Create reports and presentations for upper management.
  • Hire, train, and supervise analysts and outsourced partners for market data collection and research.
  • Develop BI systems to support short-term and long-term business decisions and marketing campaigns.
  • Monitor budget and expenditures to maximize investment value.


Background and Experience

  • Degree in Business Administration, Marketing, or related field preferred.
  • 2 to 3 years of experience in Business Intelligence in the FMCG, Pharmaceutical, or Animal Health industry.
  • Experience in multinational companies preferred.
  • Marketing and marketing planning experience with knowledge of strategies and tactics.
  • Strong logical and critical thinking, analytical ability, and problem-solving skills.
  • High integrity, strong communication skills, flexibility, and results-focused orientation.

6. BI Manager (Power BI Reporting)

Delivering consistent, high-quality Power BI reporting, the BI Manager co-owns the data model and pipelines while engaging internal users and FP&A partners to advance self-service analytics across commercial and operational areas. Based within the LEGO Education reporting team, this role raises data literacy by advocating for data-driven decisions and enabling access to new data points across the business.


Accountabilities

  • Co-own the Power BI solution, ensuring the data model and pipelines are built on clear metric and dimension definitions.
  • Engage with internal users to guide how BI can support their reporting and analysis needs.
  • Collaborate across the business to enable access to new data points and self-service analysis tools.
  • Ensure consistent, high-quality reporting in alignment with FP&A team standards.
  • Advocate for data-driven decisions and raise data literacy across business partners.


Technical Qualifications

  • 3 to 5 years of experience in data modelling, data governance, and data visualization.
  • Experience developing commercial reporting including sales dashboards, strategic dashboards, and financials.
  • Experience with Business Intelligence methodology, topologies, and tools.
  • Proficiency in Power BI including Power Query, DAX, SQL, and Dataflows, with Power Automate, MS Dynamics CRM, SAP, Tabular Editor, or DAX Studio as a plus.
  • Strong analytical approach with ability to communicate effectively with senior partners and translate business needs into solutions.
  • Good verbal and written communication skills with confidence to present complex ideas independently.

7. BI Manager (Looker and LookML)

As the BI Manager, this role builds underlying data structures and Looker explores that power accurate dashboards while consulting on long-term backend architecture planning within an Agile Sprint environment. The BI function relies on this work to stay current on industry trends, guide EA technology development, and deliver iterative BI solutions to partners and analysts.


Key Deliverables

  • Build underlying data structures and explores to support accurate and engaging dashboards.
  • Consult on long-term backend data structure planning and advise on best practice standards.
  • Collaborate with partners and analysts to understand and fulfill their data and BI needs.
  • Stay current on industry trends and guide technology development within the BI function.
  • Work within an Agile Sprint environment to deliver BI solutions iteratively.


Position Requirements

  • Have 5 or more years of experience working with Business Intelligence systems
  • Have 2 or more years of experience working with Looker.
  • Looker LookML Certified.
  • Expert knowledge of relational databases and SQL, with experience in Python or R.
  • Proficiency in Agile Sprint methodology.

8. BI Manager (Digital Analytics)

BI Manager shapes automated reporting and data-driven insights for a digital product team, using Firebase, Google Analytics, and proprietary internal data sources to monitor KPIs and inform strategic direction. The work directly supports a wide range of stakeholders including senior business managers by connecting digital performance data to business decisions and product improvement recommendations.


Role Responsibilities

  • Use analytical techniques including visual, logical, and statistical methods to generate insights on digital product performance.
  • Connect data insights to business problems and present findings to a wide range of stakeholders including senior managers.
  • Undertake statistical analysis to determine promotional campaign effectiveness and product feature usage.
  • Develop proprietary data sets by integrating third-party APIs with internal data sources.
  • Design and build dashboards enabling business owners to monitor KPIs and initiatives.
  • Set up and configure Google Analytics and Firebase properties, audiences, filters, views, and segments.
  • Support vendors to ensure analytics events and payloads are properly configured.
  • Share analytical skills across the team to improve data fluency and support process improvement.


Education and Experience

  • Degree in Computer Science, Information Systems, Data Science, or Statistics, Master's degree is a plus.
  • 5 or more years of hands-on experience in data analysis, statistics, and data modelling across large datasets.
  • Advanced experience setting up events and goals within Google Analytics and Firebase.
  • Proficiency in integrating third-party APIs and maintaining marketing data integrity.
  • Proficiency in SQL and large raw datasets in formats such as CSV, Excel, and SQL Server.
  • Proficiency in Tableau, Power BI, or other data visualization tools, with strong Excel and PowerPoint skills.
  • Detail-oriented with strong communication skills and ability to present complex findings clearly to non-technical audiences.
  • Good time management and ability to prioritize in a fast-paced environment.

9. BI Manager (Microsoft BI Stack)

The BI Manager owns the full Data/BI implementation lifecycle across a development team, delivering SSIS, SSAS, and SSRS solutions while managing direct reports through weekly one-on-ones, career planning, and performance reviews. Working closely with HR, account management, and offshore development groups, this role promotes engagement success and ensures all team members understand the broader project goals and stakeholder expectations.


Leadership Responsibilities

  • Manage the full implementation lifecycle including requirements gathering, technology selection, prototyping, development, and release.
  • Develop SSIS packages for ETL and data manipulation, OLAP cubes, and SSRS reports.
  • Design, performance-tune, and implement security models for OLTP databases and data warehouses.
  • Conduct weekly one-on-one meetings with direct reports to identify best practices and areas for improvement.
  • Mentor employees, plan and deliver training, and hold annual career discussions aligned to individual objectives.
  • Manage performance review processes, PTO requests, PIPs, and terminations in conjunction with HR.
  • Visit employees on local accounts to maintain account awareness, identify issues, and promote engagement.
  • Ensure all direct reports understand the broader project goals and contribute to stakeholder success.


Knowledge Skills and Abilities

  • Bachelor of Science or Associates Degree in Computer Science, Information Technology, or related field.
  • Microsoft Certifications in SQL preferred.
  • 5 to 10 years of overall development experience with Microsoft BI Stack technologies.
  • Experience leading a development group, including working with offshore development teams.
  • Experience implementing Microsoft stack technologies including Azure, SharePoint, IIS, SQL, and Dynamics CRM.
  • Proficiency in SQL Server, SSAS, SSIS, SSRS, Power BI, Tableau, Excel, and related client-side tools.
  • Strong leadership, communication, client-facing, problem-solving, and mentoring skills.

10. BI Manager (Data Architecture)

Reporting to group leadership, the BI Manager leads the design and delivery of data analytics projects including data lake and data warehouse solutions across an enterprise environment. Partnering with ETL, Visualization, and DB engineering teams, this role advances the organization's data analytics vision and ensures measurable business value is delivered within budget and on schedule.


Strategic Responsibilities

  • Design technical solutions including data lake and data warehouse requirements for analytics projects.
  • Champion the data analytics vision, strategy, and global data management and governance across the enterprise.
  • Oversee ETL, Visualization, and DB engineering teams to deliver analytics projects.
  • Ensure analytics projects deliver measurable business value and meet stakeholder expectations within delivery dates and budget targets.
  • Communicate the enterprise view of data creation, management, storage, and use from customer service to executive management.


Minimum Qualifications

  • Minimum 12 years of IT industry experience, with a Master's or Bachelor's degree in Computer Science or related field.
  • Certification in data analytics preferred.
  • Experience translating business requirements into conceptual, logical, and physical data models.
  • Experience designing and building databases for storage, reporting, and analytics, including dimensional modelling and BI solution delivery.
  • Experience developing strategies for operational and reporting database implementation, data acquisition, and archiving.
  • Proficiency in integration tools such as SSIS and Talend, as well as SSRS and SSAS technologies.
  • Ability to drive large cross-functional analytics programs and translate strategic vision into tactical implementable steps.

11. BI Manager (KPI and OKR Analytics)

Embedded within a high-tech organization, the BI Manager develops and optimizes measurement and analytics of internal and external business information, serving as the central BI hub for Product, Sales, Marketing, Finance, and Operations. Working closely with senior management, this role produces KPI frameworks aligned to OKR goals and proposes data-driven business initiatives that improve the customer journey.


Operational Focus

  • Develop, execute, and optimize measurement and analytics of internal and external business information.
  • Establish best-in-class data analytics services across marketing, sales, customer engagement, product, and operations.
  • Work with senior management to define and monitor KPIs that support company OKR goals.
  • Serve as the central BI hub coordinating with all departments including Product, Sales, Marketing, Finance, and Operations.
  • Propose innovative ways to measure and enhance information flow to improve the customer journey.
  • Contribute to new business initiatives by analyzing information and proposing data-driven recommendations.


Professional Experience

  • University degree in Maths, Business Mathematics, or equivalent with an analytical focus.
  • 5 or more years of business intelligence experience, ideally in high-tech or customer-facing companies.
  • Experience creating complex analytical dashboards, reports, and defining KPIs aligned to business processes.
  • Familiarity with data warehousing best practices, master data management, and big data solutions.
  • Track record of building a successful Analytics or BI function with strategic KPIs and OKR-driven frameworks.
  • Strategic thinker combining business strategy with BI technology experience and ability to navigate all levels and functions.
  • Excellent written and verbal communication skills in English.

12. BI Manager (Pharma Commercial Analytics)

Sitting at the intersection of commercial strategy and regulated industry analytics, the BI Manager analyzes external syndicated data and manages forecasting processes including long-range plans and quarterly estimates across local and global markets. Operating across marketing, competitive intelligence, and omnichannel teams, this role enables informed brand planning and launch readiness through structured market analysis and cross-functional KPI management.


Strategic Initiatives

  • Analyze external syndicated data sources and translate findings into relevant business insights.
  • Track business indicators and identify action plans across marketing, forecasting, and competitive intelligence.
  • Lead market research activities at both local and global levels.
  • Manage forecasting processes including long-range planning, annual plans, and quarterly estimates.
  • Drive cross-functional collaboration KPIs and support integrated brand planning and launch readiness.
  • Monitor omnichannel analytics and KPIs across platforms including navigator and HCP portals.


Experience and Qualifications

  • Experience in biotech, pharma, or other regulated industries.
  • Experience with SFE matters including CRM, sales force sizing, territory alignment, targeting, segmentation, and incentive management.
  • Hands-on experience with Veeva CRM packages and multi-country, multi-channel implementation.
  • Experience in vendor selection and management.
  • Proven ability to analyze markets, interpret business issues, and recommend solutions through structured analysis.
  • Strong communication, influencing, and presentation skills with ability to convey technical findings to executives.
  • Excellent communication skills in Spanish and English.

13. BI Manager (Enterprise Reporting)

A key member of the organization-wide data function, the BI Manager leads Business Intelligence efforts across the entire organization, designing and implementing BI tools while working closely with the product development team to build and improve the data warehouse. Collaborating with departments at all levels, this role enables real-time transparency and data-driven decisions that directly support organizational growth.


Core Responsibilities

  • Lead Business Intelligence efforts across the entire organization.
  • Provide full and real-time transparency on data insights to all stakeholders.
  • Understand underlying business challenges and communicate accurate data-driven conclusions.
  • Collaborate with departments to support and drive data-driven decisions.
  • Design and implement Business Intelligence tools and reporting systems.
  • Work closely with the product development team to build and improve the data warehouse.


Skills and Qualifications

  • Bachelor's degree in Information Systems, Computer Science, or Data Analytics, Master's degree or MBA preferred.
  • 8 or more years of experience in Business Intelligence.
  • Experience in data modelling, data warehousing, and setting up business-wide reporting systems from scratch.
  • In-depth knowledge of MongoDB.
  • Strong critical thinking and strategic skills with ability to challenge conventional approaches and propose alternative solutions.
  • Initiative, proactive, and self-driven with a hands-on working style.

14. BI Manager (Cloud Data Consulting)

BI Manager refines cloud data architecture and integration patterns on Microsoft Azure for clients across regional and national Business Intelligence Data and Analytics engagements. The work directly supports clients in designing modern data platforms that enable business intelligence, advanced analytics, and data science at enterprise scale.


Ownership Areas

  • Design and implement cloud data architecture and integration patterns using Azure Data Factory, Event Hub, Databricks, and Synapse Pipelines.
  • Lead multiple engagements to design and develop data solutions using modelling techniques including star schemas, normalized models, and Vault data models.
  • Lead teams in developing cloud data migration, integration, and warehouse plans, roadmaps, and success metrics.
  • Assess and translate complex business requirements into structured analytics use cases and effective work stream plans.
  • Mentor and manage teams internally and externally in-person and virtually.
  • Support the consulting sales process including client meetings, estimates, and proposal development.


Background and Experience

  • Bachelor's degree in a technical or quantitative field such as Mathematics, Statistics, Engineering, Computer Science, or related discipline.
  • 6 to 8 years of experience in data and analytics including strategy, data modelling, design, and implementation.
  • Experience implementing enterprise data concepts such as Master Data Management, Enterprise Data Catalog, and Enterprise Data Warehouse.
  • Experience architecting cloud data solutions on Azure using data pipelines, data streams, and system integration.
  • Proficiency in SQL, Python or Spark, and visualization tools such as Tableau or Power BI.
  • Experience with Azure Data Factory, Databricks, Synapse, Data Lake, Cosmos DB, Snowflake, and BigQuery.
  • AWS, Azure, or GCP data engineering certification is a plus.

15. BI Manager (Data Team Operations)

BI Manager manages a team that facilitates Business Intelligence processes, procedures, development, and implementation, leading requirements gathering, project intake, and timeline management while ensuring data protection and quality across all BI outputs. Working with Data Warehouse and data engineering teams, this role produces scalable data architecture strategies and effective IT project delivery to meet client objectives.


Day-to-Day Responsibilities

  • Lead BI requirements gathering, project intake, prioritization, and timeline management.
  • Process and automate data from external sources into datasets supporting reports and dashboards.
  • Work with Data Warehouse and data engineering teams to improve data quality and source coverage.
  • Evaluate data architecture and provide recommendations to scale for organizational growth.
  • Analyze data quality and develop strategies for BI processes and data preparation.
  • Ensure protection of sensitive data assets including personal information and corporate metrics.
  • Hire, train, manage performance, and develop productive BI team members in line with company policies.
  • Monitor team work and ensure effective implementation of IT projects to meet client objectives.


Education and Experience

  • Bachelor's Degree in Computer Science or related field, or 3 years as a Senior BI Developer or higher.
  • Minimum 3 years as a BI supervisor or higher-level management position, with 2 years leading a data team including DBAs, ETL, and Developers.
  • 3 years of advanced report design experience in tools such as Tableau, MicroStrategy, SSRS, Cognos, or QlikView.
  • At least 1 year of solutions architecture delivery.
  • Strong knowledge of relational database design, SQL scripting, query optimization, and data warehousing.
  • Proficiency in dashboard visualization, data manipulation, and working with large datasets, with MongoDB and Spark experience preferred.
  • Experience with JSON, XML, and HTML data structures preferred, with advanced Excel skills including macros and pivot tables.
  • Tableau certification a plus.

16. BI Manager (Client-Facing Implementation)

As the BI Manager, this role guides clients through the evaluation, design, and implementation of enterprise data warehouses using Microsoft SQL and Azure technologies while managing task completion across functional and technical specifications. The client services team relies on this work to scope and deliver BI solutions that evolve with client business needs through ongoing optimization, training, and technical support.


Scope of Work

  • Guide clients in evaluating BI solutions through information sharing and product demonstrations.
  • Design, architect, implement, and support enterprise data warehouses using Microsoft SQL on-premises or Azure cloud technologies.
  • Develop logical and physical data models and lead ETL development.
  • Build reports, dashboards, and scorecards using a variety of tools.
  • Scope implementation services, manage task completion, and ensure milestones are met across functional and technical specifications.
  • Train end users and system administrators, and provide ongoing technical support and troubleshooting.
  • Lead optimization projects as client business needs evolve.


Required Qualifications

  • Bachelor's or graduate degree with 6 to 8 years of related work experience.
  • Extensive experience managing a team.
  • Experience with data modelling including normalized and de-normalized models and dimensional data warehouses.
  • Proficiency with Microsoft SQL Server, SSIS, SSRS, and T-SQL scripting including stored procedures, views, and functions.
  • Experience with Microsoft Azure technologies including Azure Data Factory, Databricks, Azure SQL DB, Azure SQL DW, Azure Data Lake, and Analysis Services.
  • Strong financial and business acumen with ability to communicate technology concepts in business terms.
  • Excellent project management, client relationship management, organization, and communication skills.

17. BI Manager (Banking Infrastructure)

The BI Manager designs, develops, and maintains analytical products and infrastructure while managing a team of engineers to build a center of excellence around BI tools across cloud and on-premises environments. Working across cross-functional partners, compliance, and technology stakeholders, this role shapes the team roadmap in line with the company's technology vision and contributes to a culture of innovation and continuous improvement within a banking context.


Executive Functions

  • Design, develop, test, operate, automate, and maintain analytical products and infrastructure.
  • Manage a team of engineers to build a center of excellence around BI tools, infrastructure, and automation across cloud and on-premises environments.
  • Create and optimize large workloads and dashboards in analytical infrastructure.
  • Ensure all product and project development adheres to compliance, security, and software reliability engineering standards.
  • Define team roadmap in line with company technology vision and contribute to innovation and continuous improvement.
  • Collaborate with cross-functional partners and stakeholders to deliver high-quality BI products.
  • Anticipate and communicate blockers and delays, and ensure tasks are appropriately prioritized for incremental delivery.


Qualifications and Experience

  • Bachelor's degree or equivalent work experience, Master's degree in CS or Statistics or Information Management preferred.
  • 10 or more years of experience in information systems technology.
  • Experience in setup, scale, and performance of analytical infrastructure including Tableau, Superset, Power BI, and Alteryx.
  • Knowledge of large-scale data warehouses, data lakes, and real-time data pipelines.
  • Proficiency in agile software development lifecycle and DevOps principles.
  • Strong technical leadership, mentoring, communication, presentation, and problem-solving skills.

18. BI Manager (Reporting Automation)

Reporting to global and local management, the BI Manager interprets complex datasets and leads BI setup and launch initiatives for new partners and products, producing automated reports, vendor exports, and lineage documentation. Partnering with data architects, engineers, and business stakeholders, this role contributes to improved data readiness and completeness while expanding data maturity across a mobile device or insurance industry context.


Work Activities

  • Interpret data and apply statistical techniques to produce ongoing reporting aligned to business requirements.
  • Lead BI setup and launch initiatives for new partners and products to automate business-as-usual reporting.
  • Review and provide feedback on existing databases, data collection systems, and analytics strategies to optimize efficiency and quality.
  • Identify, analyze, and interpret trends or patterns in complex datasets across all business areas.
  • Work with data architects and engineers to maintain and enhance data systems for improved readiness, completeness, and accuracy.
  • Collaborate with global and local management to prioritize business and information needs.
  • Produce regular reports, presentations, vendor exports, and automated data outputs.
  • Contribute to documentation of data assets, models, and lineage catalogs.


Technical Qualifications

  • Degree in Computer Science, Information Technology, Finance, or similar field.
  • Five to seven years of experience in an analytical role such as business intelligence, MIS, or analytics.
  • Relevant business intelligence certification preferred.
  • Experience with CRM, ERP, or financial reporting systems, with mobile device, insurance, or digital market experience preferred.
  • Proficiency in Power BI, SQL, and Excel, with background in data warehouse design including dimensional modelling and data mining.
  • Experience with relational data modelling, automated reporting builds, and delivery of new products.
  • Excellent analytical and problem-solving skills with a strong track record in product and reporting development.

19. BI Manager (SAP and Qlik Analytics)

Embedded within a UK analytics function, the BI Manager manages and grows a team of analysts using Jira and daily scrums to deliver advanced reporting and data visualizations through Qlik and SAP BI tools. Working closely with stakeholders across a large, matrixed organization, this role builds and maintains a Center of Excellence for reporting that ensures data integrity, streamlined category performance tracking, and consistent analytics delivery.


Strategic Responsibilities

  • Manage and grow the UK analytics team using Jira and daily scrums to manage workload by sprints.
  • Update management weekly on key performance indicators for the analytics environment and staff productivity.
  • Work with stakeholders to understand priorities and identify how data and analytics can address business challenges.
  • Use existing tools including Qlik and SAP BI to deliver advanced analytics reporting and data visualizations.
  • Build and maintain a Center of Excellence for reporting across the organization.
  • Create and maintain analytics datasets sourced from multiple systems and third parties, ensuring data integrity and quality.
  • Identify opportunities to streamline reporting and set up regular category performance tracking reports.


Experience and Qualifications

  • Experience managing a team or serving as team lead, including recruitment, performance management, goal setting, and handling underperformance.
  • Strong background in SAP including HANA, BI, and BW.
  • BI development background with experience in at least one BI tool, ideally Qlikview or Qliksense.
  • Experience with SCRUM and using Jira to manage team workload preferred.
  • Project management experience with ability to manage multiple projects and workstreams simultaneously.
  • Demonstrated ability to work in a large, matrixed organization and build relationships through strong communication and influencing skills.
  • Hardworking, detail-oriented, and solution-focused with a can-do attitude.

20. BI Manager (Cisco Data Systems)

A key member of the Chief Data and Analytics Office, the BI Manager analyzes business requirements and automates or improves existing systems to directly impact business productivity, designing solutions that give sellers visibility into opportunity data insights. Collaborating across SQL, Hana, and Snowflake environments, this role creates technical design documents and ad-hoc analysis presentations that support improved customer and partner engagement within Cisco's business context.


Core Functions

  • Analyze business requirements and automate or improve existing systems to directly impact business productivity.
  • Develop and support new or existing systems within the Chief Data and Analytics Office.
  • Prepare technical design documents, data flow diagrams, and ad-hoc analysis presentations.
  • Design solutions to provide sellers with visibility into opportunity data insights for improved customer and partner engagement.
  • Work with different business intelligence tools and data frameworks across a fast-paced environment.


Requirements

  • BS in Math, Statistics, Data Science, Computer Science, or Engineering with 3 or more years of experience in data engineering or data analysis.
  • Experience working with SQL, Hana, and Snowflake for data gathering, processing, and analysis.
  • Strong analytical skills with ability to collect, organize, and disseminate large volumes of information accurately.
  • Strong collaboration, influencing, facilitation, and problem-solving skills with a take-charge, flexible attitude.
  • Cisco business and technical acumen, and experience with Cisco internal data and systems is a plus.

21. BI Manager (Fintech Data Architecture)

BI Manager executes Descriptive, Predictive, and Prescriptive Analytics solutions alongside Data Architecture responsibilities, creating data integration solutions, dashboards, and statistical models to improve business performance. Success in the position means delivering user segmentation analysis and Big Data framework integration that supports decision-making within banking, financial services, or fintech environments.


Activities

  • Create data integration solutions, visualizations.
  • Reports based on business requirements.
  • Integrate Big Data tools and frameworks aligned to business and technical requirements.
  • Design and develop dashboards and statistical models to improve business performance.
  • Analyze user profiles, behavior, and related variables to identify user segmentations.


Professional Experience

  • Graduation in IT or related fields.
  • At least 5 years of experience in a related BI or data role.
  • Experience in at least one programming language such as Java, Python, Ruby, Bash, Scala, SQL, SAS, or R.
  • Good knowledge of ETL concepts, data modelling, and data warehousing.
  • Proficiency in SQL and BI tools such as Qlik, Tableau, or Power BI.
  • Working experience in banking, financial services, or fintech is a plus.

Editorial Process and Content Quality

This content is developed by the Lamwork Editorial Team using structured analysis of real-world job data, skill requirements, and hiring patterns.

Research framework by Lam Nguyen, Founder & Editorial Lead.

Reviewed by Thanh Huyen, Managing Editor.

Learn more about our editorial standards.