Top Business Intelligence Jobs

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.

Designs and scales enterprise Power BI reporting, dashboards, semantic models, and analytical data products. Develops DAX measures, star-schema models, KPIs, data governance, row-level security, and performance optimizations. Partners with business, data engineering, and operational teams to translate requirements into actionable insights. Uses Python, SQL, Azure, and Microsoft Fabric to support data validation, self-service analytics, executive reporting, and enterprise analytics architecture.

Supports enterprise data governance and business intelligence initiatives by profiling datasets, defining quality rules, validating metadata and lineage, maintaining business glossaries, and testing API integrations. Develops data-quality scorecards, governance reports, dashboards, documentation, and training materials. Collaborates with data owners, stewards, engineers, and government stakeholders while tracking remediation and testing evidence in Azure DevOps. The role requires Power BI, data governance, data-quality, SQL, ETL, and relational database experience in a Navy environment.

Develop and enhance Power BI dashboards, reporting tools, compliance systems, workflows, databases, and SharePoint solutions in a federal environment. Gather requirements, translate business needs into secure technical solutions, manage SQL-based data, test and deploy applications, support governance and audit readiness, document systems, train users, and communicate with stakeholders. The role requires Microsoft technologies, database development experience, strong collaboration skills, and eligibility for a Department of Defense Secret clearance.

Develop and administer enterprise Tableau and Power BI dashboards, reports, semantic models, security controls, and reporting platforms. Translate stakeholder requirements into scalable visualizations, optimize SQL and BI performance, manage refreshes, permissions, gateways, and embedded analytics, and support AWS, Azure, Databricks, and federal compliance environments. Collaborate with data engineering and application teams, participate in Agile delivery, document solutions, conduct user acceptance testing, and train report consumers. The role requires eligibility for Public Trust clearance and U.S. citizenship.

Develops business intelligence and analytics solutions using Power BI, DAX, Power Query, SQL, and cloud databases. Builds dashboards, scorecards, forecasting models, automated reports, and visualizations; performs exploratory data analysis; gathers business requirements; supports analytical models and data quality; and collaborates with stakeholders and senior team members in an Agile environment.

Designs, develops, and maintains scalable Power BI dashboards, semantic models, and reporting infrastructure. Creates optimized DAX measures and time-intelligence logic, transforms data with Power Query, improves report performance, and implements RLS and OLS security. Collaborates with data engineers, analysts, data scientists, AI teams, and business stakeholders to deliver actionable analytics solutions.

Develops and maintains Power BI dashboards and reports focused on cybersecurity KPIs, trends, and anomalies. Translates business requirements into data-driven insights using Python, SQL, Snowflake, AWS, and data pipelines. Optimizes data models and queries, integrates data with engineering teams, supports governance and security compliance, and trains stakeholders on BI tools.

Own the business intelligence domain by building scalable data models, dashboards, reports, data pipelines, and analytical capabilities. Transform large datasets using SQL and scripting languages, maintain data quality and availability, conduct A/B tests, develop predictive models, and generate insights for product, sales, operations, and leadership. The role also includes stakeholder collaboration, data governance, infrastructure improvements, and mentoring colleagues.

Supports enterprise business intelligence operations, including ticket triage, report subscriptions, data quality checks, environment monitoring, QA testing, release communications, documentation, ad hoc data requests, and usage analysis. Contributes to ETL/ELT, cloud data platforms, infrastructure, governance, semantic datasets, reporting, and CI/CD while developing technical depth under senior guidance.

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.

Own operational processes in Addepar, onboard complex client relationships, build alternative transaction histories, create alternative assets, and produce recurring and ad hoc portfolio reports. Analyze investment data, troubleshoot reporting issues, improve processes, document data governance, manage reporting projects, and develop industry insights. The role requires expertise with Addepar, Canoe, Excel, and alternative investment products.

Lead enterprise analytics lifecycle: gather executive requirements, design data architecture and Snowflake models, build automated Power BI reports using DAX/Power Query, deliver advanced project and supply-chain analytics, mentor junior developers, and establish BI governance and standards. Onsite in McLean, VA with occasional travel to construction sites.

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.

Develops and maintains dashboards and reports for financial services, using SQL, Python, Power BI, and Excel. Analyzes data, ensures data integrity, automates reporting, performs forecasting, and identifies trends supporting business decisions. Collaborates with cross-functional teams to gather requirements, improve data quality, investigate root causes, and deliver scalable reporting solutions.

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.

Identifies business intelligence and reporting needs, gathers requirements, develops business requirements, analyzes business processes and data, and supports dashboards, reports, KPIs, and data warehouse strategy. Ensures data quality, maintains metadata and data dictionaries, researches business problems, and presents findings. The role also trains clients on analytical tools and complies with banking regulations, risk controls, and internal policies.

Leads enterprise business solutions, applications, ERP, data analytics, AI, innovation, asset data, and technology portfolio management. Aligns technology and data strategies with business goals, prioritizes investments, strengthens governance, oversees analytics and decision-support models, and drives digital transformation. Builds high-performing leadership teams and partners with senior stakeholders to deliver measurable business value, operational excellence, and reliable technology capabilities for the electric grid.

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.

Develop and maintain BI reports and dashboards for the Mortgage Lending Division. Analyze large datasets, identify trends, validate reportable data, and support regulatory reporting such as HMDA and Fair Lending Analysis. Collaborate with business teams to gather requirements, automate reporting processes, document data definitions, and provide training on reporting tools. The role also supports data dictionaries, exception reporting, and operational improvements.

Designs, develops, and maintains enterprise Power BI dashboards, reports, semantic models, and analytics solutions. Builds DAX measures, dimensional models, KPIs, and row-level security. Gathers business requirements, supports user acceptance testing, trains users, and establishes reporting governance standards. Administers reporting environments, monitors performance and adoption, troubleshoots refresh issues, resolves production incidents, and collaborates with business, data engineering, database, and IT teams.

Develops and maintains Power BI reports, dashboards, semantic models, SQL datasets, and production reporting pipelines. Manages Azure Data Factory pipelines and Databricks notebooks, validates data accuracy, troubleshoots reporting issues, and supports scheduled client deliverables. Collaborates with software engineers, product owners, and account management in an Agile/Scrum environment. Documents BI practices, data definitions, and runbooks while applying dimensional modeling, DAX, Power Query, and AI-assisted development practices.

Leads CASL’s data analytics and business intelligence functions by integrating data across systems, developing SQL-based databases, reports, dashboards, and automated pipelines, and delivering actionable insights for institutional decision-making. Oversees SQL Server administration, data security, quality, integrity, and performance. Provides documentation and training while managing reporting projects, supporting leadership, and ensuring responsible handling of sensitive information.

Develop and maintain Power BI, SSRS, SQL, recurring, and ad hoc reports for the Mortgage Lending Division. Analyze large datasets, validate regulatory reporting data, identify trends, automate reporting, and provide actionable insights. Collaborate with business units, support HMDA and fair lending reporting, document data dictionaries and procedures, and train users on reporting tools.

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.