Top Senior Business Intelligence Jobs

Leads the design and delivery of business intelligence and analytics solutions, including data modeling, curated datasets, semantic models, dashboards, data visualizations, and actionable insights. Partners with stakeholders on requirements, governance, testing, training, and adoption. Uses SQL, Power BI, Tableau, Snowflake, Python, and data preparation tools while mentoring junior engineers, managing multiple projects, and promoting BI best practices.

Design and implement scalable BI data systems, models, and AI-powered tooling. Translate business questions into reliable datasets, optimize warehouses and queries, apply software engineering practices, partner with product and engineering teams, and mentor teammates. Process large-scale data using modern cloud platforms and technologies such as Spark, Databricks, and Kubernetes.

Owns the reporting and analytics foundation supporting Neptune’s Dollar General partnership. Responsibilities include developing dashboards and recurring reports, analyzing digital incentive and commercial performance, identifying growth opportunities, supporting revenue forecasting and reconciliation, validating data across sources, and translating findings into actionable recommendations for leadership and client stakeholders.

Leads business intelligence and advanced SQL analytics using Snowflake, Tableau, Power BI, and Python. Analyzes complex data, validates data integrity, develops semantic models and reporting solutions, partners with stakeholders and IT data teams, presents insights, improves analytics processes, documents standards, and mentors analysts. The role requires strong business judgment, communication, governance, and technical leadership.

Develops and maintains dashboards, reports, data tools, and data infrastructure for Consulting. Analyzes client, project, portfolio, capacity, compliance, and outcomes data to identify trends and support decisions. Maintains data integrity across Salesforce, Resource Hero, Power BI, and related systems; establishes governance standards; trains staff; and manages consulting projects, workflows, budgets, timelines, and deliverables.

Owns enterprise BI reporting from stakeholder requirements through semantic modeling, SQL optimization, Power BI dashboards, paginated reports, governance, security, testing, and performance tuning. The role also supports Tableau development and administration, mentors junior developers, establishes BI standards, and documents architecture and data lineage.

Builds and maintains automated dashboards, reporting, KPIs, and analytical tools for transplant logistics. Mines and transforms large datasets using SQL and Python, applies statistical analysis, and delivers actionable insights to Product, Finance, Logistics, Clinical, and Technology teams. Supports logistics network design and evaluates big data technologies while translating business needs into scalable data solutions.

Build and maintain enterprise BI dashboards, data models, reporting layers, data quality metrics, and governance reporting for USDA human capital systems. Translate stakeholder requirements into scalable BI products, support Databricks Lakehouse architecture and migration, manage metadata and data lineage, develop validation scripts, coordinate user acceptance testing, and ensure data quality, security, and governance compliance.

Develops and maintains enterprise Power BI reports, dashboards, semantic models, and datasets using Databricks data. Partners with business stakeholders and data engineers to gather requirements, design scalable data models, create DAX measures, test reporting solutions, resolve data discrepancies, and deliver actionable insights. The role also documents BI solutions, supports data architecture improvements, and leads cross-functional teams through complex data challenges.

Builds and maintains enterprise datasets, semantic models, Power BI and Microsoft Fabric reporting solutions, forecasting models, dashboards, and automated analytics. Partners with Finance, Operations, and IT to translate requirements into decision-support tools. Ensures data quality through validation, reconciliation, and monitoring while improving reporting governance and analytical methodologies. Uses SQL, Python, AI, and automation technologies to streamline business processes and deliver reliable insights.

Develops BI models, dashboards, reports, predictive analyses, and visualizations for Navy leadership assessment programs. Analyzes large datasets, identifies trends, supports executive decision-making, maintains data systems, prepares quarterly performance reports, and coordinates with stakeholders. The role also supervises an administrative assistant and may moderate milestone interviews.

Designs, develops, and supports enterprise business intelligence solutions using Power BI and Qlik. Creates scalable dashboards, reports, and analytics to support business decisions; gathers stakeholder requirements; translates business needs into technical solutions; and maintains BI environments for performance, reliability, and data quality. The role may also apply AI-enabled analytics such as natural-language querying, anomaly detection, and automated reporting.

Build and maintain financial data pipelines from Oracle Fusion Cloud, transform and validate reporting datasets, and develop Tableau dashboards. Translate Finance and Accounting requirements into technical specifications, ensure consistent metrics and data quality, document lineage and data dictionaries, support audits and forecasting, and provide ad hoc analysis. Partner with Finance, Accounting, and Technology teams while improving automation and training users on self-service reporting tools.

Design, develop, and optimize Power BI dashboards and reports for Navy ERP governance. Automate reporting processes, ensure data integrity, and provide user training.

Lead the BI team and define a two-year strategy for certified Looker dashboards, governed metrics, self-service analytics, and AI-generated summaries. Manage 2–3 BI professionals, oversee the end-to-end dashboard lifecycle, establish semantic-layer requirements and data-quality standards, drive adoption, and partner with Product, Operations, Finance, Marketing, and Sales leaders. The role also requires hands-on Looker development, SQL, stakeholder influence, and cross-functional delivery.

Build Qlik Sense data models, dashboards, visualizations, and analytics applications for the National Guard’s enterprise data environment. Analyze structured and unstructured data to identify trends and actionable insights, ensure data integrity and system performance, enhance BI standards, and collaborate with cross-functional teams. The role requires onsite work in Arlington, VA one to two days weekly, an active Secret clearance, and U.S. citizenship.

Leads enterprise business intelligence and analytics strategy, including BI team development, executive dashboards, KPI frameworks, data governance, master data management, forecasting, and predictive analytics. Partners with executives and cross-functional leaders to drive revenue, profitability, customer engagement, product innovation, and operational performance through actionable insights and improved reporting infrastructure.

Leads the enterprise business intelligence and analytics strategy, including BI team development, executive dashboards, KPI frameworks, data governance, master data management, forecasting, predictive analytics, and AI-driven automation. Advises executive leadership and partners cross-functionally to improve revenue, profitability, customer retention, product adoption, and operational performance. Establishes reporting standards, data architecture roadmaps, and scalable self-service analytics capabilities.

Lead Requirements Analyst responsible for managing business analysis, requirements elicitation, strategic development, and documentation for IT projects, particularly focusing on data warehousing and business intelligence.

The Lead Sr. Business System Analyst will lead requirements definition, data and systems analysis, and quality assurance while collaborating with stakeholders, particularly in the financial services industry.

Lead the design and implementation of OBIEE 12c solutions for UW-Madison. Act as an architecture resource, ensuring best practices in business intelligence are followed.

The Business Analyst will analyze financial data, create business requirements, and contribute to various projects within the team, requiring strong data warehouse and banking experience.

Develops and manages enterprise business intelligence products, including semantic models, governed definitions, metadata, dashboards, and AI-assisted analytics capabilities. Translates complex business needs into measurable analytic solutions, advises stakeholders, supports adoption and training, and manages product lifecycle, quality, performance, and business impact. Partners with product managers and business leaders to prioritize work, manage risks, communicate value, and guide less experienced team members.

Independent healthcare consultant responsible for statistical analysis, predictive modeling, BI reporting and data visualization. Works client-facing on projects using R, SAS, SPSS, Cognos and Business Objects, reporting to the Senior Consultant and delivering actionable insights for healthcare clients.

Independent healthcare consultant responsible for statistical analysis, predictive modeling, BI/reporting, and data visualization. Use R, SAS, SPSS, Cognos, and Business Objects to deliver insights and maintain client relationships. Report to the Senior Consultant.