Top Senior Business Intelligence Jobs

Designs, implements, administers, and supports business intelligence solutions, including reports, analytics, dashboards, and scorecards. Collaborates on data structures, develops BI platforms, improves usability, presents solutions to leadership, and communicates technical concepts to nontechnical stakeholders. Provides leadership, mentoring, strategic planning, and people management while ensuring accurate, actionable business insights.

Leads the business intelligence department across pricing, demand planning, commercial analytics, master data, and R&D reporting. Develops analytics strategy, scenario modeling, margin management, dashboards, data governance, and competitive intelligence. Manages and develops the BI team, drives cross-functional initiatives, and champions adoption of AI, Power BI/Microsoft Fabric, pricing platforms, and advanced analytics to support growth and profitability.

Serves as the bridge between retail business stakeholders and the enterprise data ecosystem. Builds Tableau dashboards and Snowflake SQL analyses, defines data requirements, oversees third-party data engineering pipelines, validates data quality, documents data flows, supports self-service reporting, and establishes BI governance standards. The role focuses on omnichannel retail systems including Shopify, NetSuite, Manhattan WMS, Klaviyo, and Google Analytics while ensuring privacy and regulatory compliance.

Lead business intelligence strategy across product, clinical, commercial, finance, and engineering teams. Build measurement frameworks, semantic layers, reporting solutions, and visualizations that demonstrate business value and support data-informed decisions. Own the data lifecycle from ideation through client-facing delivery, ensure data governance and integrity, and translate complex datasets into actionable insights. Collaborate on scalable data architecture and apply statistical methods, advanced analytics, and emerging AI-driven BI capabilities.

Leads the design, development, implementation, and support of business intelligence solutions, including dashboards, reports, data models, pipelines, and reporting frameworks. Translates complex business requirements into scalable data solutions, ensures data quality and HIPAA compliance, resolves technical issues, evaluates emerging technologies, and mentors team members. The role manages staff, leads projects, partners with internal and external stakeholders, and communicates technical concepts to business and executive audiences.

Supports enterprise business intelligence through ETL, SQL development, data warehouse modeling, SSRS reporting, SSAS cubes, Qlik analytics, dashboards, documentation, quality assurance, and issue resolution. Partners with cross-functional stakeholders to gather requirements, translate business needs into reporting solutions, ensure data accuracy, and train end users. The role requires independent analysis while collaborating with senior BI staff and supporting organizational decision-making.

Design and administer enterprise dashboards and reporting solutions (Tableau, Power BI, Microsoft Fabric). Translate complex business questions into compelling data stories, partner with stakeholders and BI engineers, champion visualization standards and governance, mentor analysts, and improve reporting usability and trust across the organization.

Supports the design and implementation of financial and management reporting and analytics. Oversees business intelligence strategy, KPI alignment, report rationalization, data governance, and reporting automation. Partners with finance and actuarial teams to improve reporting efficiency, consistency, quality, timeliness, and risk management. Requires business intelligence, relational database, project management, strategy, change management, process improvement, and reporting experience, with Oracle reporting expertise preferred.

Leads a team of data analysts while delivering business intelligence and analytics initiatives. Owns Tableau administration, governance, permissions, licensing, dashboards, and platform strategy. Partners with Marketing, Product, Operations, and Finance, with primary responsibility for marketing analytics, attribution, and campaign measurement. Translates complex data into actionable recommendations, partners with Data Engineering on data quality, and drives stakeholder adoption of analytics products.

Leads the firm's business intelligence and reporting function, managing two BI professionals while remaining hands-on. Responsibilities include migrating SSRS reports to Power BI and Microsoft Fabric, rationalizing 200+ financial reports, designing semantic data models, optimizing SQL queries, piloting AI-assisted reporting, maintaining availability and accuracy, and partnering with Finance, Data Strategy, Security, and business stakeholders. The role requires strong Power BI, SQL Server, reporting governance, backlog management, and team leadership skills.

Develop and maintain enterprise BI solutions, dashboards, reports, data models, and ETL processes. Translate business requirements into scalable analytics solutions, define KPIs, analyze complex datasets, ensure data quality and governance, optimize performance, resolve reporting issues, establish BI standards, and mentor junior developers while partnering with technical and business stakeholders.

Leads the organization’s business intelligence and analytics function, managing BI analysts and developers while overseeing reporting, dashboards, data governance, analytics delivery, and analytical data architecture. Partners with stakeholders to translate business needs into scalable data models, semantic layers, governed reporting, and actionable insights. Directs Power BI and Microsoft Fabric environments, advances data quality and self-service analytics, and evaluates AI-enabled tools. Responsibilities include team development, KPI standardization, predictive analytics, forecasting, and cross-functional solution delivery.

Develops business intelligence solutions by querying ERP data, creating dashboards and visualizations, validating data, and delivering actionable insights. Partners with technical and business stakeholders to define requirements, document technical specifications, create test plans, support UAT, and improve BI platform performance, security, and usability. The role also provides backup support for analytics engineering and data science functions.

Leads business intelligence strategy, reporting tools, dashboards, data governance, and the master reporting model. Manages analytics professionals, ensures data quality and warehouse alignment, partners with executives and cross-functional teams, and translates performance data into actionable recommendations. Oversees BI adoption, training, change management, documentation, compliance, and project prioritization.

Leads a high-performing team managing Google Cloud analytics marts and enterprise data assets. Oversees data quality, testing, UAT, governance, documentation, incident resolution, and data literacy initiatives. Analyzes datasets, translates business needs into technical requirements, consults on data usage, and partners with analytics, operations, and technology teams to improve data capabilities and align solutions with enterprise strategy and technology roadmaps.

Leads a client’s migration from SQL Server, SSIS, and SSRS to Snowflake and Sigma while maintaining legacy reporting operations. Designs data models, ETL pipelines, reports, dashboards, source-to-target mappings, and migration plans; validates reporting parity and coordinates phased cutovers. The role also provides client-facing technical leadership, troubleshooting, documentation, peer reviews, and ongoing support for banking data and reporting systems.

Supports PMIS and BI implementations for infrastructure and capital programs. Gathers requirements, configures project controls workflows, develops dashboards and reports, manages data integrations and governance, documents procedures, trains users, and provides system support. The role translates business and project requirements into scalable technology and analytics solutions using PMIS platforms, SQL, ETL, data warehouses, Power BI, Tableau, and related tools.

Leads advanced business intelligence and analytics initiatives, translating complex business needs into scalable enterprise solutions. Performs forecasting, scenario analysis, data preparation, validation, and troubleshooting using SQL, Python, and BI tools. Advises business leaders, defines requirements, supports data modeling and governance, improves self-service analytics, mentors analysts, and promotes data literacy. The role drives analytics maturity, data quality, process improvements, and strategic decision-making across the credit union.

Develop and maintain enterprise Finance reporting solutions using Power BI, data models, and DAX. Lead reporting initiatives supporting finance transformation, ERP modernization, GAAP reporting, and management reporting. Establish governance, data quality controls, documentation, and reporting standards. Collaborate with Finance, Accounting, Technology, and business stakeholders, provide technical oversight and mentorship, support audit and regulatory reporting, and advance self-service analytics, automation, and AI-enabled insights.

Lead BI reporting and advanced analytics to optimize marketing campaigns and ROI. Build dashboards, manage multi-source data, ensure data governance, provide actionable insights, mentor juniors, and partner with cross-functional teams to guide strategy.

Develops dashboards, reports, scorecards, and analytical products using BI and visualization tools. Analyzes and integrates data from multiple sources, performs trend and performance analysis, translates stakeholder needs into reporting requirements, and presents insights to technical and non-technical audiences. The role also supports reporting validation, quality controls, data governance, documentation, and collaboration with data engineers, data scientists, and federal program stakeholders.

Leads business intelligence, process improvement, automation, Power Platform, AI, and data initiatives. Partners with business leaders to improve productivity, develop dashboards and data models, implement enterprise data warehouses, deliver AI-powered solutions, and establish governance. Manages and mentors team members while driving measurable operational improvements, stakeholder adoption, and continuous innovation across manufacturing and business operations.

Designs, develops, and maintains enterprise business intelligence dashboards, reports, semantic models, and data integrations. Extracts and models data from HRIS, ERP, warehouses, cloud platforms, and APIs; writes and optimizes complex SQL; validates data quality; and standardizes KPIs and reporting definitions. Partners with engineering and business stakeholders, documents BI solutions, supports governed self-service analytics, communicates insights, and mentors junior BI professionals.

Analyze performance marketing and subscription-funnel data, including acquisition efficiency, conversion, retention, churn, and customer lifetime value. Build automated Domo dashboards and governed reporting pipelines from multiple data sources. Investigate data anomalies, analyze A/B tests, define KPIs, and communicate insights to executives. Partner with marketing, product, engineering, finance, agencies, and BI contractors while independently executing analytics projects and improving reporting workflows.

Develops and maintains Power BI dashboards integrating CMMS and other systems through SQL and APIs. Translates operational and maintenance data into actionable insights for asset reliability, maintenance optimization, compliance, safety, costs, and resource planning. Responsibilities include requirements gathering, application design and integration, testing, training, system enhancements, risk analysis, database management, prototypes, and application lifecycle planning. Requires work across office, plant, and remote sites, including on-call responses and occasional hazardous physical conditions.