Top Business Intelligence Jobs in NYC, NY

The Sr. BI Engineer will oversee the data lifecycle, architect data pipelines, ensure data governance, and partner with stakeholders for analytics, using SQL, Snowflake, Python, and Tableau.

The analyst will connect data to business issues, develop dashboards, support fraud detection systems, collaborate cross-functionally, and analyze performance for improvements.

The Business Intelligence Analyst will construct reliable datasets, perform data analysis, provide insights, and support metrics standardization. They will collaborate with various teams to enhance data usage and reporting processes.

The Lead BI Developer will oversee the architecture and optimization of the BI ecosystem, focusing on Power BI, mentoring teams, and ensuring high-quality analytical data. Responsibilities include designing data models, leading strategy, and enhancing BI capabilities across the organization.

The Senior Power BI/Azure Associate will design, implement, and analyze data solutions, collaborate with stakeholders, and create interactive reports and dashboards.

As a Business Intelligence and Analytics Engineer, you will develop data tools, ensure data quality, deliver analytical insights, and collaborate with cross-functional teams to empower data-driven decision-making.

The Business Intelligence Analyst II role focuses on analyzing data, providing intelligence to business decision-makers, creating reports and dashboards, and ensuring data quality across departments. This position requires advanced analytics skills and expertise in data visualization tools.

The Business Intelligence Analyst will analyze pharmaceutical transaction data, develop visual data models, and collaborate cross-functionally to drive insights and improvements in business strategies.

The role involves developing Power BI reports and dashboards, managing data, and providing actionable insights while collaborating with a team.

The BI Data Analyst III will analyze data to inform business decisions, create dashboards, conduct A/B tests, and improve data quality.

The Business Intelligence Manager will lead the BI team, conduct data analysis, collaborate with stakeholders, and oversee the integrity of meter data management processes.

The Business Intelligence Analyst collects and analyzes market data, develops segmentation reports, performs competitive analysis, and provides insights for marketing strategies.

The Business Intelligence Developer collaborates to identify analytics gaps, designs scalable data models, and delivers dashboards and insights, optimizing existing resources while ensuring accuracy and accessibility.

As a Principal Business Intelligence Analyst, you'll design and maintain scalable data pipelines, implement data models, and ensure data quality while mentoring junior engineers and collaborating with stakeholders.

Manage business intelligence and analytics initiatives for sales, transforming data into actionable insights and driving strategic decisions.

Lead a BI team to develop data-driven insights, dashboards, and data models. Collaborate with departments, analyze risks, and improve BI processes while promoting data literacy and decision-making.

The Business Intelligence Analyst will design analytics solutions, integrate data, develop insights, and create dashboards to support various business units.

The Data Analyst will manage BI & reporting pipelines, translate business requirements into KPIs, and create reports and dashboards while ensuring data accuracy.

The AVP, Business Intelligence Analyst will oversee BI delivery for various departments, develop KPIs, create dashboards, and ensure data accuracy and compliance with BI standards.

The BI Data Analyst transforms data into insights for business value, develops BI solutions, analyzes datasets, and delivers reports and dashboards.

The Business Intelligence Analyst will turn data into insights, work cross-functionally, create dashboards, and ensure data integrity and governance.

The Business Intelligence Researcher will analyze data to drive business insights and decision making, collaborating across teams to solve challenges.

The Manager of Data Analytics will convert data into actionable insights for Product, Marketing, Content, and Finance teams, balancing speed and accuracy while collaborating with stakeholders.