Top Business Intelligence Jobs in NYC, NY

Leads the Americas Business Intelligence Center, managing research leaders and delivering market, competitor, industry, company, and financial intelligence for business development and client delivery. Partners with senior stakeholders, oversees research quality and commercial support, drives responsible generative AI adoption, improves workflows and reporting, manages research vendors and subscriptions, and develops a high-performing team.

Build and enhance business intelligence capabilities through data modeling, reporting, automated data quality tests, and collaboration with data engineering teams. Integrate disparate data sources into warehouse models, support data access and reporting, educate stakeholders on data products, and develop campaign KPIs for clients. The role requires strong SQL, analytics experience, and familiarity with cloud data warehouses, with preferred experience in Python, BI tools, Git, query engines, and dbt.

Designs and maintains executive dashboards, reports, semantic models, and automated analytics solutions using Power BI. Defines enterprise KPIs, data standards, and business rules while integrating data from ERP, CRM, manufacturing, SQL, and cloud systems. Partners cross-functionally with senior leaders to deliver insights, improve data quality, support master data management, and enable scalable self-service analytics and data-driven decision-making.

Develop business intelligence and analytics solutions using financial, operational, RF, and video performance data. Build scalable data models, dashboards, reports, automation workflows, and ETL/ELT processes using Power BI, Tableau, DataMiner, and Qligent. Analyze trends and anomalies, monitor satellite and video delivery performance, translate business requirements into actionable insights, and collaborate with enterprise stakeholders in a fully remote consulting role.

Leads commercial business intelligence strategy, Power BI reporting, dashboards, analytics, data governance, CRM optimization, and sales process improvement. Manages two direct reports and partners with commercial, finance, and operational leaders to improve revenue performance, forecasting accuracy, data quality, and commercial effectiveness. Oversees sales incentive compensation analytics and cross-functional system transformation initiatives. The role is fully remote with 10% overnight travel.

Build and maintain BI reporting and analytics solutions for Public & Private Loan, CLO and credit trading desks. Partner with business stakeholders to analyze processes, clean data, capture requirements (BRDs/FRDs), translate into technical BI specs, and deliver dashboards. Support ad-hoc data requests, collaborate with offshore teams, and continuously improve data access and dashboard capabilities.

Reviews, develops, validates, and refines dashboards, reports, visualizations, calculations, data sources, KPIs, and analytical workflows across BI platforms. The role documents findings, provides structured feedback, troubleshoots reporting accuracy, and evaluates AI-powered agents and workplace connectors used in analytics processes.

Develops business intelligence products and analytics supporting strategic decision-making across the firm. Responsibilities include client profitability and segmentation analysis, growth and margin analysis, reusable data models, KPI governance, executive dashboards, automated reporting, and self-service analytics. Partners with Finance, Revenue, Business Development, Pricing, Technology, and other stakeholders to translate financial, market, operational, and client data into actionable insights while maintaining reporting quality and consistency.

Design, develop, and maintain BI solutions and dashboards using Domo and related platforms. Gather and consolidate data from multiple sources, ensure data quality and governance, build semantic models for AI readiness, automate reporting, collaborate with stakeholders, and document technical designs and processes while supporting existing BI applications.

Lead data product strategy and governance for customer-facing reporting within Managed Services. Own reporting product roadmap, data quality, standards, delivery platforms (Redwood Insights, BI, Snowflake, Excel), implementation readiness, and cross-functional alignment to scale trusted, automated customer analytics and reduce manual reporting.

Design, build, and maintain operational dashboards and SQL-based data models. Translate stakeholder questions into queries, validate data quality, migrate reporting to Databricks/dbt, document analytics, and support metric governance to deliver trusted operational insights.

Owns the company’s BI platform and data strategy across clinical, operations, finance, and HR functions. Responsibilities include setting the analytics product roadmap, governing data definitions and PHI, managing platform architecture, building dbt models and dashboards, delivering healthcare quality and value-based-care analytics, deploying conversational AI, coordinating vendors and multi-team programs, and developing an analytics team. The role requires hands-on ownership of clinical data, EHR integrations, semantic modeling, governance, and executive reporting.

Lead the BI function owning Azure-based BI infrastructure and data pipelines, write and optimize complex SQL, maintain Power BI reporting and revenue analytics, lead and mentor BI analysts, collaborate with Sales/Finance/Operations, and ensure data quality and documentation standards.

The BI Developer will create and manage Enterprise reporting using Power BI, collaborate with users for optimized visualizations, build data models, and ensure governance, while enabling self-service BI and driving process improvements.

Designs and maintains BI solutions, writes optimized SQL and stored procedures, and builds AI-assisted reports and dashboards using Power BI, Tableau, and Excel. Translates business questions into actionable insights for Sales and cross-functional teams, develops data models, supports reporting migrations, and ensures data quality, governance, documentation, and consistency across platforms.

Lead market research and business intelligence for consumer growth: define metrics and dashboards, analyze quantitative and qualitative data, run surveys and user interviews, build financial models and P&Ls, size ROI and pricing, and present actionable recommendations to senior leadership.

Lead business intelligence and market research to inform consumer strategy. Design and run quantitative and qualitative studies, build dashboards and financial models (P&L, pricing, ROI), analyze willingness-to-pay and feature trade-offs, and deliver actionable recommendations to senior leadership. Own metrics, tracking systems, and cross-functional insight execution.

Own and enhance Sigma dashboards and business intelligence reporting for the Records Retrieval business. Partner with stakeholders to translate business needs into scalable data solutions, analyze complex datasets, improve data quality and governance, define reporting standards, and support Snowflake data warehouse and modeling initiatives. Deliver actionable insights, automate reporting processes, evaluate analytics tools, and independently drive analytics projects from requirements through delivery.

Work independently on healthcare analytics projects, building BI reports and statistical models. Use R, SAS, SPSS for predictive modeling and advanced analytics, create data visualizations, and develop business intelligence outputs with Cognos and Business Objects. Maintain client relationships and report to the Senior Consultant.

Provide healthcare analytics and BI support as an independent consultant: perform statistical analysis, predictive modeling, business reporting, and data visualization using tools like R, SAS, SPSS, Cognos, and Business Objects. Maintain client relationships and report to the Senior Consultant.

Leads business intelligence and analytics for strategic client programs, developing executive dashboards, scorecards, KPI reporting, and performance analyses. Analyzes operational, financial, transaction, compliance, and servicing data to identify trends and risks. Partners with cross-functional stakeholders, presents insights to executives and clients, supports forecasting and planning, establishes reporting governance and data quality standards, and improves reporting automation and self-service analytics.

Conduct BI research and analysis to produce actionable insights for trading and business decisions. Build and support data pipelines and enterprise BI analytics; partner with developers, researchers, and trading teams; perform post-trade statistical analysis; communicate findings across technical and non-technical stakeholders.

Lead a BI engineering team, overseeing dashboards, data models, SQL/dbt transformations, ETL pipelines, Airflow DAGs, data warehouses, CI/CD, governance, and quality standards. Partner with stakeholders to define reporting requirements, conduct advanced analyses, manage Agile projects, and develop data strategy. Mentor team members and support production deployments. This fully remote role requires travel to Denver for five business days each quarter.

The Power BI Developer will build data analytics models, develop reports and dashboards in Power BI, and enhance data models while collaborating with business users and government personnel.

Transforms complex retail and consumer data into business-ready datasets, scalable pipelines, reporting solutions, automation, and client deliverables. Designs data integration solutions in Unify, troubleshoots connector issues, explores AI-driven improvements, and partners with Product, Engineering, Client Development, Operations, and business stakeholders to define requirements and deliver scalable solutions.