Top Business Intelligence Jobs in NYC, NY

Own CX data infrastructure, including pipelines, data models, governance, monitoring systems, and Streamlit dashboards. Apply advanced statistics and AI-assisted anomaly detection to identify customer experience opportunities and performance issues. Partner with CX leaders, data science, engineering, and Salesforce teams to define metrics, answer causal questions, and guide operational decisions. Establish data quality standards, validate AI-generated outputs, communicate insights clearly, and mentor data practitioners.

Develop business intelligence and revenue reporting tools, automate Finance reporting processes, perform ad hoc and quantitative analyses, and translate complex data into actionable insights. The analyst will support company initiatives, present findings to technical and non-technical stakeholders, and provide decision-making guidance across the organization.

Serve as the primary technical escalation point for managed services data and analytics clients. Troubleshoot and enhance Power BI, Fabric, Azure, and other analytics environments; gather requirements; translate business needs into scalable solutions; support client onboarding; maintain documentation; mentor support staff; and partner with client success and consulting teams. The role also contributes to continuous improvement, training, knowledge sharing, and AI-enabled productivity initiatives.

Lead and grow a Business Intelligence team, partner with senior leaders to prioritize analytical initiatives, ensure analytic output quality, drive BI operating model evolution, adopt modern BI tooling and self-service, and embed AI-assisted methods to improve decision-making.

Develops advanced BI and analytics solutions, including optimized SQL queries, interactive dashboards, ETL workflows, statistical analyses, and cloud-based reporting. Collaborates with stakeholders to define requirements, automate reporting, validate data quality, and improve metrics. Presents findings to executives and clients, manages distributed project deliverables, and identifies AI-driven automation opportunities using Tableau, Power BI, Python, BigQuery, and related tools.

Leads enterprise reporting and performance analytics across content, advertising, and affiliate businesses. Builds executive dashboards in Domo, validates KPIs against Looker models, conducts root-cause and monetization analyses, automates reporting workflows, and standardizes measurement practices. Manages and mentors BI analysts, partners with engineering and IT teams, and communicates actionable insights during executive performance reviews.

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.

Develop and maintain business intelligence solutions, dashboards, reports, data models, ETL processes, and data warehouses using tools such as Tableau, Power BI, and QlikView. Collaborate with business stakeholders, analysts, and IT teams to support decision-making. Ensure data quality, integrity, and security while staying current with emerging BI technologies and methodologies.

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, 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.

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.

The Data Analytics Manager will collaborate with Commercial Lines leaders, manage the Global Data Warehouse, and drive data insights for effective decision-making.

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.

Design, build, and support enterprise BI solutions including reports, dashboards, ETL/ELT, data marts, governed datasets and production support. Translate business requirements into technical designs, perform complex data analysis and root-cause investigations, document lineage and runbooks, optimize solutions, enforce data governance, and provide technical leadership or mentorship for large-scale initiatives.

Build dbt and SQL data models, strengthen replication and orchestration pipelines, investigate data issues, add quality checks, and create datasets and dashboards for internal reporting and client-facing analytics. The role involves hands-on data engineering, pipeline reliability, reporting, code reviews, and growing ownership within a healthcare and life sciences data environment.