Top Senior Business Intelligence Jobs

The Business Intelligence Developer enhances Albany's analytics ecosystem using Microsoft technologies, focusing on SAP data integration, data pipelines, dashboards, and reporting solutions.

Lead analytics initiatives to support pricing, product management, and operations. Design scalable data models, build executive reporting, analyze large SQL datasets, improve data quality and self-service tools, mentor junior analysts, and partner with global stakeholders to deliver actionable insights.

Lead design and delivery of scalable Power BI dashboards, optimize data models and DAX, ensure performance, data quality and governance, gather stakeholder requirements, mentor developers, conduct code reviews, and support deployments.

Develop and maintain enterprise Power BI solutions for Dynamics 365 Finance & Operations: build data models, DAX, Power Query transforms, Entity Store analytics, embed reports in D365 workspaces, extract and model data via OData/BYOD/Azure SQL, and extend Visual Studio integrations for large-scale reporting.

Create Tableau dashboards and visualizations, design/customize Tableau solutions and hierarchical user access, gather and shape executive requirements, work with SAP BusinessObjects, and perform quality assurance and testing. Strong communication skills required.

Design, develop, deploy and support SQL-based BI solutions including ETL, SSAS cubes, SSRS/Tableau reporting and data marts. Troubleshoot performance, tune queries, provide Tier 2 BI support, and collaborate across teams from analysis through implementation and testing.

Design and develop BI solutions from business requirements using SAP, Spotfire, and Microsoft BI tools. Provide governance, QA, training, testing of releases, evaluate new tools, support audits, enforce standards, and work with vendors to troubleshoot environments.

Senior BI consultant role requiring at least 7 years’ experience with SSIS/ETL and strong SQL. Banking experience preferred. Good communication skills required. 12-month contract. SharePoint, ASP.NET (VB.NET/C#), DBA, and ETL lead experience are desirable.

Administer, implement, upgrade and support SAP BusinessObjects BI 4.0 (and XI3.1) environments, assist migrations (Crystal, WebI, Universes, Dashboards), design technical architecture, size BI systems, mentor team members, and analyze business reporting requirements.

Serve as liaison between business stakeholders and development teams to elicit, document, and validate system and DW/BI requirements; define solution architecture; lead stakeholders and teams; mentor on requirements analysis and ensure IT deliveries meet business expectations.

Provide SAP BI/BusinessObjects Universe consulting for a client in Oklahoma. Must have at least 5 years of SAP BI Universe experience, strong communication skills. 6-month contract with possible extension. Candidates with OPT, U.S. citizenship, or green card status are acceptable.

Lead architecture, design and implementation of Microsoft BI solutions (SSAS/SSIS/SSRS). Manage BI modules, plan and maintain projects, gather requirements, produce functional specs, direct offshore teams, mentor analysts, control scope/change, and ensure delivery. Healthcare domain experience preferred.

Translate business requirements into Power BI reports and dashboards: design, build, test, deploy, analyze data hierarchies/trends, set up user mapping/security, and deliver workshops and hands-on training. Requires strong SQL and experience with Power BI on Azure HDInsight and SQL DW.

Design, build, test and deploy Power BI reports and dashboards; analyze data, hierarchies and trends; create scorecards, advanced charts and geospatial maps; set up user mapping and security; conduct Power BI workshops and hands-on training. Requires strong SQL and experience with Power BI on Azure HDInsight and SQL Data Warehouse. Minimum seven years in IT.

Design, develop and maintain Microsoft BI solutions including SSAS tabular and multidimensional models. Build and optimize cubes, write MDX/DAX, apply partitioning, security, and DW/BI design best practices. Collaborate on architecture reviews, custom visualizations, and global-delivery projects.

Design, develop and support BI reports, dashboards and self-service apps from the data warehouse and OLAP cubes using Tableau, SSRS and Excel. Gather requirements, translate to technical specs, build visualizations, optimize data sources, perform testing, and train/mentor end users.

Lead BI reporting and analytics: develop and QA reports, design EDW/ODS and multidimensional models, improve automation and processes, plan data/component architecture, and lead application development and integrations.

Lead a team of six analysts to own BI strategy, data governance, reporting roadmap, and automation. Build dashboards, self-service analytics, and cloud data pipelines (Databricks/Snowflake). Partner with Sales, Talent, and Operations to define KPIs, improve data quality, streamline systems, and deliver actionable sales and operational insights.

Lead development and implementation of finance analytics and COGS reporting. Build scalable data solutions, cost models, and dashboards; collaborate cross-functionally with finance, production, supply chain, and engineering to improve cost visibility, processes, and decision-making. Own end-to-end BI deliverables and influence adoption of robust cost data and analytics.

Lead BI and insights function, manage a data analyst, build dashboards and reports, maintain category and retailer data structures, ensure data quality and automation, analyze retailer/shopper/category performance, and present actionable recommendations to customers and internal stakeholders to support growth and strategic planning.

Lead analytics and BI for Digital Product Operations: define product and adoption metrics, build dashboards, ensure data governance and quality, measure ProdOps effectiveness, coach PM/POs, diagnose adoption gaps, and drive interventions that improve product planning and delivery.

Own and maintain KPI reporting pipelines and business logic, ensure data quality, diagnose KPI changes, perform deep-dive analyses, build dashboards and visualizations, architect data models and curated reporting zones, and partner with Data Engineering and product/marketing stakeholders to enable self-service analytics.

Lead business intelligence efforts to analyze complex data, define KPIs, identify operational inefficiencies, and recommend process improvements. Collaborate with cross-functional teams and executives to implement data-driven strategies, manage improvement projects, monitor resource allocation, and ensure compliance with policies and regulations.

The Director leads Business Intelligence efforts, advancing data solutions, managing teams, and ensuring reliable analytics for decision-making across the University.

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.