Top Business Intelligence Jobs

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 the Business Intelligence and Data Insights department as an intern. Responsibilities likely include working with SQL, creating data visualizations in Power BI or comparable tools, analyzing data with Excel, organizing tasks, communicating findings, and managing multiple priorities.

Build and maintain Looker dashboards, reports, and LookML semantic models across retail, wholesale, and accounting. Modernize SAP BusinessObjects reporting, write and optimize Snowflake SQL, develop Python analytical solutions, validate data integrity, and troubleshoot data models. Create AI agents and workflow automations, audit AI-generated queries, document BI assets, and provide actionable insights to executives and business stakeholders.

Develop Power BI dashboards, semantic data models, SQL extracts, and scalable reporting solutions while helping build a Microsoft Fabric analytics environment. Partner with leaders across portfolio companies to translate business needs into actionable insights, troubleshoot data quality issues, automate reporting, support integrations, and document data definitions. The role combines hands-on BI development, ad hoc analysis, stakeholder collaboration, and modernization of enterprise reporting.

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.

Own the reporting and data capability for an Engineering Transformation Programme. Integrate engineering, workforce, product, and programme data; define metrics frameworks; build executive dashboards; establish reliable data pipelines; identify trends and data quality issues; and translate stakeholder needs into trusted, actionable insights. The role supports engineering leaders and may expand into self-service reporting, quality signals, and long-term Engineering Operations data strategy.

The Business Intelligence Associate translates executive and business needs into governed analytics, dashboards, reports, semantic models, and reusable metrics. Responsibilities include mining data warehouses for insights, applying statistical analysis, maintaining analytics systems, supporting AI-enabled and conversational analytics, and partnering with executives, product owners, engineers, architects, and domain experts. The role also contributes to risk controls, user experience improvements, training, and data-driven strategic decision-making.

Lead ownership of BI reporting infrastructure: build and standardize dashboards, extract insights from messy third‑party data, partner with marketing teams to drive performance optimization and deliver proactive retrospective analyses that influence business decisions.

Develop business intelligence and revenue reporting tools, automate Finance reporting processes, perform ad hoc and quantitative analyses, and translate complex data into actionable insights. The analyst will support company initiatives, present findings to technical and non-technical stakeholders, and provide decision-making guidance across the organization.

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.

Analyzes financial, operational, pharmacy, clinical, and grant data to support business and clinical outcomes. Maintains data warehouses and reporting systems, designs reports and dashboards, develops automated reporting solutions, identifies process improvements, and presents insights to leadership and staff. The role also gathers stakeholder requirements, applies statistical analysis, and supports data-driven strategic decisions.

Develops and maintains Power BI dashboards and data models, defines KPIs with stakeholders, validates data accuracy, and collaborates with Data Engineering on optimized analytical models. The role documents data lineage and reporting assumptions, supports self-service BI through communications and training, and automates manual reporting processes. It requires SQL, Power BI, DAX, Power Query, data modeling, and data warehouse knowledge, plus strong communication and cross-functional collaboration skills.

Business Intelligence Interns will work with stakeholders to identify analytics needs, analyze operational problems, build data models, prepare and reconcile reports, and audit logistics data for accuracy. The role also involves presenting information, applying project management techniques, meeting deadlines, and supporting additional assignments. Candidates should be college students with strong attention to detail, Microsoft Office proficiency, creativity in problem-solving, communication skills, and a willingness to learn.

Leads enterprise business intelligence and analytics across multiple divisions and locations. Establishes governed KPI definitions, reporting architecture, financial and operational analytics, semantic models, data-quality practices, and self-service reporting. Partners with FP&A, IT, Finance, and Operations to align analytics with financial results, guide technical delivery, evaluate BI platforms, and support forecasting and performance improvement. Directs internal or external development teams and communicates actionable insights to executives and operating leaders.

Designs, develops, and maintains Omni-based dashboards, visualizations, and reporting solutions. Manages data product lifecycles, collaborates with data and product owners to ensure data accuracy and standardization, recommends analytics tools, translates business needs into scalable data solutions, and promotes data visualization best practices. The role also provides training, support, enhancements, and subject matter expertise across the organization.

Leads GreenSky’s enterprise business intelligence and data engineering strategy, including data modernization, cloud platforms, analytics, governance, reporting, and AI/ML enablement. Builds and scales enterprise data organizations, establishes KPI frameworks and executive reporting, ensures regulatory compliance and data quality, and applies advanced analytics to lending, credit risk, fraud prevention, servicing, customer acquisition, and portfolio performance.

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.

Designs, develops, maintains, and enhances business intelligence solutions using multiple data sources. Builds Power BI dashboards, visualizations, reports, and scorecards with DAX; optimizes reporting performance; gathers requirements; resolves technical issues; documents BI standards; estimates and schedules project work; and communicates progress to management. The role also supports department initiatives and ad hoc reporting requests.

Develops business intelligence solutions for Texas Medicaid data by designing and building SQL queries and results in Business Objects, using SQL Developer and Oracle to meet customer requirements.