Top Senior Business Intelligence Jobs

Lead business intelligence initiatives supporting Snapchat’s Sales organization. Analyze data from multiple sources, identify campaign and industry trends, build dashboards and reports, deliver actionable revenue insights, and recommend optimization strategies. Partner with cross-functional teams on measurement strategies, product feedback, revenue programs, and growth initiatives. Communicate complex analyses to technical and non-technical audiences and influence business decisions through compelling data stories.

Manage an analytics and client reporting team supporting the State Health Plan. Own the reporting and analytics backlog, prioritize deliverables, translate client needs into analytic requirements, and ensure accurate, reliable reporting products. Build strong client partnerships, establish predictable delivery practices, coordinate cross-functional dependencies, promote automation and scalable analytics, and develop a high-performing team skilled in consultative analytics, communication, storytelling, and execution.

Develops, configures, maintains, troubleshoots, tests, and supports business intelligence systems. Translates end-user requirements into queries, reports, metadata layers, and semantic models; designs BI applications and documentation for production. Requires experience with data management, BI applications, reporting, data warehousing, data modeling, technical troubleshooting, and application delivery.

Leads a team of data analysts while delivering business intelligence insights across Marketing, Product, Operations, and Finance. Owns the Tableau environment, including governance, permissions, licensing, data quality, and platform capabilities. Develops dashboards, KPI frameworks, and analytics roadmaps; oversees marketing attribution and campaign measurement; partners with Data Engineering on data availability; and drives stakeholder adoption of analytics products.

Own end-to-end reconciliation and financial reporting across card networks, processors, banks, and internal ledger data. Build SQL-based reports, dashboards, exception queues, metrics, and automated controls; investigate discrepancies and root causes; improve data pipelines and processes; support month-end close, audits, and regulatory reporting; and partner with Engineering, Product, Accounting, Treasury, Tax, and Compliance. Mentor analysts and guide responsible AI use.

Design, build, and maintain HR workforce dashboards, reports, and curated datasets; respond to ad hoc analyses; improve legacy BI, ensure data quality and governance; integrate BI with cloud platforms and support self-service analytics and agile delivery.

Analyzes data from multiple sources to identify business and advertising performance trends, build dashboards and reports, and deliver actionable recommendations. Partners with account management and cross-functional teams on measurement strategies, product insights, campaign optimization, and revenue-impacting initiatives. Communicates complex analytical findings to technical and non-technical audiences and influences business decisions through data storytelling.

Leads business intelligence and analytics engineering initiatives for Snap’s People Team. Designs scalable data pipelines, models, data products, dashboards, and self-service analytics solutions. Translates business needs into technical requirements, conducts statistical analysis, improves data quality and operational reliability, and delivers actionable insights. Owns systems end to end while mentoring team members and communicating effectively with executives, business partners, analysts, and technical teams.

Develop and maintain sophisticated BI reports, dashboards, data pipelines, semantic models, and visualizations using Tableau, Power BI, and Microsoft Fabric. Translate stakeholder requirements into actionable analytics solutions, analyze complex datasets, optimize dashboard performance, resolve data quality issues, and advise leaders on metrics and reporting practices. The role also manages reporting initiatives, supports analytics projects, and presents solutions to stakeholders.

Develops and leads scalable business intelligence solutions, including data modeling, reporting, exploratory analysis, data quality, governance, and stakeholder communication. Partners with business and technical teams to turn data into strategic decisions, improve data literacy, drive BI adoption, and identify trends, risks, opportunities, and efficiencies. The role also leads peer reviews, project roadmaps, team onboarding, and training while serving as a trusted advisor to business stakeholders.

Build and maintain Power BI, Tableau, or similar dashboards and recurring reports. Translate business needs into KPIs, metrics, visualizations, and actionable insights. Partner with cross-functional teams to improve data visibility, reporting quality, metric governance, and process consistency. Conduct ad hoc analyses supporting operational improvements, strategic initiatives, leadership inquiries, and business decisions.

Develops self-service BI tools, data sources, data marts, and interactive visualizations using Tableau or Power BI. Partners with clinical and operational leaders to translate information needs into actionable insights. Combines data from warehouses, lakes, and external sources; supports ETL, validation, data governance, platform maintenance, security access, and compliance. Trains and mentors analytics team members while ensuring BI assets are accurate, trusted, secure, and effectively maintained.

Develop and maintain Power BI dashboards, reports, data models, calculated measures, and row-level security. Analyze data with SQL, validate reporting accuracy, document business rules, and support EDW integration and AI-assisted analytics. Gather requirements from Finance and division leaders, deliver solutions through go-live, train users, communicate insights, and guide junior analysts.

Develop and maintain Power BI dashboards, reports, data models, calculated measures, and row-level security. Analyze data with SQL, validate reporting accuracy, support EDW and data integration work, document business rules, and assist with AI-enabled analytics. Partner with Finance and division leaders to gather requirements, deliver insights, train users, and guide junior analysts.

Develops business intelligence solutions for opportunity pipelines, CRM, and financial systems. Builds Power BI and Tableau dashboards, scalable data models, Databricks datasets, and automated reporting processes. Applies statistical methods, SQL, Spark, and Python to analyze trends and support bid, resourcing, and leadership decisions. Optimizes data lake and warehouse performance and communicates complex findings to senior stakeholders.

Develop and support enterprise BI solutions using IBM Cognos and Tableau, including reports, dashboards, data sources, administration, deployments, scheduling, security, performance tuning, validation, and production support. Analyze data warehouses, write SQL, collaborate with stakeholders and data teams, and deliver actionable Medicaid reporting solutions through Agile practices.

Develop and enhance business intelligence capabilities through data modeling, automated data testing, reporting, dashboards, and data products. Collaborate with data engineering and business teams to integrate sources, improve data accessibility, support media campaign KPIs, educate stakeholders, and mentor teammates.

Develop complex business intelligence solutions, dashboards, reports, data marts, and analytics using Tableau, Power BI, SQL, Teradata, and React. Collaborate with clients and technical teams to gather requirements, recommend solutions, test systems, support data platforms, analyze healthcare program data, and provide technical guidance, presentations, and project support.

Leads business intelligence and analytics for Verizon’s Business Markets Group. Designs measurement programs, develops advanced geospatial and financial models, evaluates sales and operational approaches, standardizes metrics, and converts complex data into strategic insights. Partners with business, technology, marketing sciences, and operational analytics teams while leading cross-functional data initiatives.

Leads business intelligence and analytics for fundraising, finance, and strategic decision-making. Develops Power BI dashboards, data models, KPIs, scorecards, and automated reporting solutions; integrates disparate data sources; validates data quality; and translates complex findings into actionable recommendations. The role partners with business and technical stakeholders, establishes reporting standards, supports self-service analytics adoption, and provides training and guidance to users.

Lead and scale Runpod’s analytics and business intelligence function, managing analysts and BI practitioners while setting the analytics roadmap. Own core company metrics, consumption and marketplace analytics, self-service reporting, experimentation practices, and executive and board-level insights. Partner with Product, Finance, Engineering, Security, Supply, and Go-to-Market leaders to improve data quality, modeling, decision-making, and strategic outcomes.

Leads business intelligence, AI, predictive analytics, data governance, and data architecture for a pharmaceutical manufacturing site. Builds dashboards, analytics pipelines, KPI frameworks, and predictive models; governs data quality, lineage, GxP compliance, FDA 21 CFR Part 11, and ALCOA+ standards. Integrates SCADA, MES, LIMS, ERP, and IoT data while developing and mentoring a technical team. Tracks business value through improvements in yield, uptime, cycle time, quality, energy efficiency, and operational performance.

The Business Intelligence Engineer analyzes complex internal and external data to solve business problems and deliver actionable insights to decision-makers. Responsibilities include integrating, analyzing, summarizing, and presenting data; conducting root cause analysis; using SQL, SAS, Databricks, and advanced Excel; and supporting data-driven business decisions. This is a remote role with occasional travel for training or meetings.

The Business Intelligence Engineer designs, builds, deploys, and supports BI solutions, data marts, analytics platforms, ETL processes, dashboards, and reports. The role develops SQL queries, stored procedures, functions, and views; resolves data quality issues; troubleshoots PostgreSQL, BigQuery, and BI tools; documents data mappings and systems; supports business stakeholders; and mentors peers. The position also improves data accuracy, integrity, security, and platform performance while following the software development life cycle.

The Senior BI Analyst designs and delivers Finance dashboards, BI data models, reports, and self-service analytics. Responsibilities include translating Finance needs into technical requirements, analyzing data lineage across SAP and other systems, performing SQL-based reconciliation and root-cause analysis, improving reporting performance and reliability, leading testing and governance activities, supporting SOX controls, and evaluating AI-assisted analytics and automation opportunities. The role collaborates with Finance, data engineering, application, data science, and distributed delivery teams.