Top Senior Business Intelligence Jobs

The Senior Business Intelligence Analyst drives data-driven decisions by synthesizing insights, developing dashboards, collaborating with stakeholders, ensuring data integrity, and addressing analytical challenges within the organization.

Provide senior-level BI and quantitative analysis for federal clients: collect and evaluate data, develop methodologies (regression, optimization, simulation), define KPIs, build visualizations and reports (PowerBI/Tableau), manage project deliverables, document results, present findings, and mentor junior analysts.

Lead product analytics efforts to define KPIs, build measurement frameworks, analyze customer behavior, and generate insights that influence product and engineering decisions. Partner with Product, Engineering, and Data teams to design event tracking, run experiments, quantify opportunity sizes, and communicate recommendations through clear narratives and visualizations to drive product adoption, retention, and business outcomes.

Support commercial strategy by analysing customers, markets, offerings and processes. Build dashboards and visualisations, define KPIs, gather CRM requirements, present insights, and collaborate with data scientists and engineers to deliver analytics-driven recommendations.

Lead the development of Business Intelligence solutions, data presentation, and analytics products to support organizational goals, leveraging expertise in data management and BI tools.

The Sr. Business Intelligence Developer will conduct analysis, develop BI and data warehousing solutions, troubleshoot data issues, and improve data quality.

The Business Intelligence Developer will create and automate Microsoft BI solutions on Azure, focusing on CRM and Finance data. Responsibilities include ETL development in Azure Data Factory, designing Power BI reports, and collaborating with stakeholders to enhance customer insights and financial reporting.

Develop and maintain Power BI dashboards and scalable data models; extract, transform, and analyze large datasets using SQL, Databricks, Power Query, Excel, and Python/R; automate reporting and workflows; partner with business leaders to define KPIs, perform ad hoc analysis, monitor report performance, and promote BI best practices and data governance.

The Business Intelligence Product Manager will manage the full lifecycle of BI products for U.S. Claims and Actuarial, including requirements gathering, dashboard development, change management, and user training, while ensuring data quality and collaboration across teams.

The Power BI Developer leads the design and management of Power BI solutions, partners with stakeholders, and ensures optimal performance of analytics and reporting workflows.

Lead the Business Intelligence team to drive data-driven decision making, influencing strategy with advanced analytics, insights, and collaboration across various functions.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Own end-to-end BI projects: build and maintain dbt models and SQL pipelines in Snowflake, architect OMNI dashboards, ensure data quality, automate reporting, apply statistical methods for insights, lead ROI and causal analyses, and partner with finance, GTM, and customer success to drive data-informed decisions.

Design, build, and maintain scalable data models, semantic layers, and dashboards. Partner with stakeholders to translate business needs into reliable BI products, enforce data quality and governance, build dbt models, optimize performance, and integrate AI-assisted tooling to accelerate analytics workflows.

Design, develop, and maintain Power BI solutions including dashboards, paginated reports, and tabular models. Provide BI support, manage tickets, dispatch issues, and escalate to appropriate contacts. Collaborate with business and technical partners to analyze needs and implement accurate data visualizations.

Lead business intelligence efforts at Kenco, developing Power BI solutions, gathering requirements, and providing technical support. Engage with stakeholders and ensure effective reporting solutions for business needs.

Lead the development of BI dashboards, collaborate with stakeholders for data insights, architect scalable data models, optimize SQL, and enhance BI platforms like Tableau while mentoring teams.

The Senior Power BI/Azure Associate designs and optimizes data integration pipelines, models, and reports, collaborating with teams to drive enterprise analytics.

The BI Analyst will design and implement customer solutions, analyze large data sets, optimize SQL scripts, and create reports using Excel and other tools.

The role requires a Tableau & BI developer with strong DB2 and SQL skills, along with leadership capabilities, to coordinate teams and manage BI reporting tools.

The BI Analyst will design and implement customer solutions, handle large data transformations, and perform data analysis using SQL and Excel.

Own and cleanse payments data to produce accurate Power BI dashboards and forecasts. Analyze interchange, ACH, VCC, and check costs to identify margins and optimization opportunities. Deliver executive-level storytelling, perform rigorous reconciliations, and act as an internal consultant to guide resource allocation and reduce payment costs.

Lead and grow the BI team to define and execute analytics strategy, deliver scalable Microsoft-based BI solutions, partner with business stakeholders to drive data-driven decisions, and ensure data governance, quality, and HIPAA compliance across healthcare-focused analytics products.

Lead design and delivery of BI, dashboards, AI-driven analytics, and scalable data pipelines for Legal. Integrate and analyze enterprise data, identify trends and risks, partner with stakeholders to embed measurement, and present insights to influence strategy and operational efficiency.

Design, develop, and maintain custom Power BI dashboards and reports. Gather requirements, build data models, transform data with Power Query (M), create DAX calculations, validate data accuracy, optimize performance for large datasets, support near real-time reporting, and document reporting standards while collaborating with product and stakeholder teams.