Top Business Intelligence Jobs in NYC, NY

Build and maintain finance data models, automated pipelines, dashboards, and reports for planning, forecasting, close, and executive reporting. Govern finance metrics, reconcile data to source systems and the general ledger, resolve data quality issues, and collaborate with FP&A, Accounting, and Data Engineering. Apply BI best practices such as dimensional modeling, documentation, testing, version control, and data governance while translating finance needs into scalable data solutions.

Deliver business intelligence and performance insights for institutional sales teams. Build sales enablement tools, AI-enabled workflows, KPI frameworks, and scalable data models. Analyze complex datasets, prototype statistical or machine learning models, ensure data governance, and translate findings into recommendations for senior stakeholders while partnering with technology and cross-functional teams.

Leads the Digital and Marketing data, measurement, governance, reporting, and analytics strategy. Owns KPI definitions, data quality, measurement standards, and platform enablement while translating customer and marketing insights into strategic recommendations. Partners cross-functionally with Marketing, Digital, Technology, Finance, Data Science, and Loyalty teams. Builds scalable operating models, advances experimentation and AI-enabled analytics, and leads and develops a high-performing analytics organization.

Leads North American insights, analytics, and AI delivery for underwriting teams. Translates business priorities into data products and analytics solutions, drives measurable value and adoption, oversees AI-enabled transformation, partners with underwriting and enterprise Data & Analytics leadership, and develops high-performing teams. The role also promotes responsible AI governance, agile delivery, scalable solutions, and evidence-based decision-making across underwriting and portfolio management.

Leads claims-focused insights, analytics, business intelligence, and AI initiatives for an insurance organization. Partners with Claims, Reserving, Actuarial, Finance, Underwriting, and Transformation teams to translate business priorities into data products, dashboards, predictive insights, automation, and AI capabilities. Manages and develops an analytics team, ensures measurable business value, promotes responsible AI adoption, and maintains data, AI, and information governance standards.

Leads enterprise business intelligence and analytics for Internal Audit, including Power BI dashboards, executive reporting, KPI frameworks, semantic data models, data integration, quality, governance, and advanced analytics. Translates complex data into actionable insights for senior leadership, supports risk and performance analysis, manages stakeholder requirements and delivery priorities, and mentors analytics team members.

Develops and leads value creation frameworks, ROI and financial benefit models, KPI scorecards, business cases, and governance for AI, personalization, and transformation initiatives. Partners with product owners and cross-functional stakeholders to translate business and technical needs into measurable revenue growth, cost savings, churn reduction, operational efficiency, and AI adoption outcomes. Presents findings to senior leadership and drives scalable AI use cases and process improvements.

Leads Horizon Next’s business intelligence function by developing scalable data products, modeling and reporting solutions, analytics infrastructure, dashboards, and automation. Drives organizational adoption and education of data tools, partners with clients and stakeholders to define KPIs and business requirements, and manages and mentors BI analysts. The role sets team strategy, establishes processes, and promotes production-quality, reusable analytics capabilities across media and advertising operations.

Build and maintain reporting suites, dashboards, analytical models, and quantitative analyses that support business decisions. Partner with leaders across Operations, Risk, Servicing, Finance, Product, and Sales to investigate complex questions, generate actionable insights, and identify growth opportunities. Collaborate with data engineers to ensure accurate data delivery while managing multiple cross-functional projects and communicating findings through clear, persuasive narratives.

Builds SQL-based data pipelines, automated validation scripts, executive dashboards, KPI scorecards, and performance analyses. The role integrates data from front-end applications, legacy systems, and warehouses while supporting data governance, documentation, compliance reporting, and executive decision-making for the Department of Correction.

Develop and maintain data pipelines, datasets, dashboards, paginated reports, PowerApps solutions, Power Automate workflows, and Databricks data engineering processes. Translate ambiguous business needs into scalable analytics solutions, write complex SQL, support reporting and data modernization, and contribute to AI/ML initiatives. Collaborate with technical and non-technical stakeholders while delivering actionable insights and automated workflows.

Owns Power BI reporting and analytics for Digital, including internal dashboards, campaign pacing, client-facing intelligence products, contact data health, and data delivery monitoring. Builds DAX reporting logic, automated alerts, budget tracking, segmentation, benchmarking, and trend analysis. Partners with IT, Data Engineering, CRM, and audience teams while transitioning an externally developed platform in-house. Serves as the senior reporting subject matter expert for stakeholder and client-facing analytics.

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 and manage enterprise Power BI dashboards, semantic models, data integrations, and automated reporting for global commercial operations. Analyze Salesforce and other business data using SQL and Python, support sales performance, territories, forecasting, compensation, and executive decision-making. Own reporting reliability, data quality, governance, troubleshooting, and documentation while partnering with Sales, Finance, Marketing, IT, and commercial leadership.

The Business Intelligence Engineer manages enterprise data sources, supports data quality and governance, and translates transactional data into KPIs for business teams. Responsibilities include guiding analyst teams, handling data inquiries, supporting advanced analytics, monitoring data performance, defining data requirements with stakeholders, and presenting findings to technical and non-technical audiences. The role requires SQL, Tableau, relational database, and data modeling or analytics expertise.

Run monthly financial and operational reporting, extract and analyze data using SQL and Python, validate data quality, automate recurring analysis with AI tools, and support ad hoc requests from Finance and Revenue Operations. The role requires explaining findings clearly and offers coaching toward data analyst or data science careers in finance and AI.

Build and maintain business intelligence dashboards, reports, and analytical views in Sigma Computing. Partner with data engineering and business stakeholders to define KPIs, develop scalable data models, improve data quality and governance, and deliver trusted self-service insights. Support Snowflake and dbt-based solutions, automate reporting workflows, and contribute to Agile planning and delivery using Jira and Confluence.

Leads business intelligence and analytics strategy for the Client Solutions Group. Designs scalable data models, reporting platforms, dashboards, semantic models, and automation capabilities. Partners with business stakeholders to deliver insights on investor engagement, fundraising, revenue, and market trends. Provides technical leadership in data architecture, governance, AI adoption, and platform scalability while applying generative AI tools to improve analytics and development workflows.

Build and maintain data pipelines, SQL queries, data models, database structures, and centralized data warehouse capabilities. Clean and validate data, develop reporting datasets and solutions, support KPI tracking and historical analysis, and collaborate with Finance and Revenue Operations. Investigate data gaps, troubleshoot integrations, and independently deliver reliable technical solutions.

Develops, validates, documents, deploys, and maintains Amazon QuickSight dashboards in a secure CMS environment. Translates stakeholder requirements into interactive visualizations, performs SQL-based ETL and data-quality validation, supports Tableau analytics, manages UAT and dashboard lifecycles, troubleshoots technical issues, and documents data workflows. The role collaborates with analysts, data scientists, CMS stakeholders, QIO staff, and other teams while supporting healthcare and regulated data initiatives.

Supports the development and maintenance of Qlik dashboards, reports, and data visualizations. Performs data analysis, validates reporting outputs, identifies trends and anomalies, translates business requirements into reporting solutions, troubleshoots data issues, and helps maintain metrics and KPIs. Collaborates with business stakeholders and develops knowledge of organizational data sources, business intelligence practices, and data governance standards.

Leads business intelligence and analytics for fundraising, finance, and strategic decision-making. Develops Power BI dashboards, data models, KPIs, scorecards, and automated reporting solutions; integrates disparate data sources; validates data quality; and translates complex findings into actionable recommendations. The role partners with business and technical stakeholders, establishes reporting standards, supports self-service analytics adoption, and provides training and guidance to users.

Own executive, board, investor, financial, and operational reporting for leadership. Build scalable dashboards, define consistent KPIs, reconcile data across systems, investigate performance changes, and translate complex business questions into actionable insights. Partner with Strategy, Finance, and senior leaders to automate recurring reporting, improve data accuracy, and support actuals-versus-budget-versus-forecast analysis.

The Senior Data Analyst will develop and improve Sigma dashboards, reporting, and business intelligence capabilities. Responsibilities include gathering stakeholder requirements, querying and analyzing complex datasets with SQL, improving data quality and governance, defining metrics, automating reporting processes, and partnering on Snowflake data modeling and warehouse improvements. The role also evaluates analytics tools, delivers actionable insights, and communicates findings to technical and non-technical audiences.

Develop revenue, yield, and business intelligence analyses; build scalable SQL- and Python-based solutions; create and maintain Tableau dashboards; conduct statistical analyses, discrepancy checks, and A/B testing; identify business opportunities; and communicate actionable insights to stakeholders across sales, account management, publisher, DSP, agency, and executive teams.