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.

Designs and maintains dashboards, reports, and visualizations; validates data quality and reporting logic; translates complex analysis into actionable recommendations; partners with data teams and stakeholders; improves reporting scalability, self-service analytics, and responsible AI usage. Presents findings to technical and non-technical audiences while supporting strategic and operational decision-making.

Supervises Product Services & Management staff and daily operations while leading the organization’s business intelligence function. The role develops dashboards, metrics, and insights from internal and external data, identifies trends and anomalies, collaborates with development teams on BI solutions, and supports strategic planning and competitive decision-making. Responsibilities also include team selection, motivation, training, guidance, and presenting recommendations to leadership.

Leads a specialized Business Intelligence and reporting team supporting AML data governance and financial crimes risk management. Oversees reporting, data controls, regulatory reviews, audits, risk remediation, stakeholder relationships, project intake, resource planning, and data visualization standards. Provides strategic direction, executive-level insights, regulatory guidance, and people leadership while ensuring compliance, data quality, continuous improvement, and timely delivery of BI initiatives.

Build AI-augmented BI dashboards, semantic layers, and AI-ready metadata. Use AI-assisted tools to accelerate SQL and dashboard development, productionize ML outputs into BI, enforce data quality and governance, and present insights to business stakeholders including C-suite.

Transform data into actionable insights by building dashboards, reports, and visualizations. Partner with cross-functional teams and data engineering to ensure data quality, lineage, and AI-ready metadata. Audit datasets, define monitoring rules, document data dictionaries, pilot AI-assisted BI tools, and apply hypothesis-driven analysis to surface insights that inform business decisions.

Manages a business intelligence team delivering enterprise reports, dashboards, visualizations, data extracts, and analytical insights. Partners with stakeholders to prioritize requirements, govern scalable solutions, and oversee BI development through the SDLC. Leads hiring, coaching, performance management, enablement, technology adoption, and organizational change. Guides Power BI, Snowflake, SQL, AI-enabled analytics, data governance, and enterprise BI strategy while ensuring delivery within budget and timelines.

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.

Designs Business Intelligence solutions and data visualizations using Microsoft Power Platform. Develops AI-enabled workflows, agentic solutions, ETL/ELT pipelines, dashboards, and governed knowledge sources. Supports technology performance procedures, controls, metrics, compliance, and responsible AI practices. Collaborates cross-functionally to identify automation opportunities, improve processes, facilitate AI adoption, and present insights to stakeholders.

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.

Own Courier Health’s business intelligence layer by building Sigma dashboards, dbt models, SQL transformations, semantic metrics, and reliable reporting datasets. Partner with internal and customer-facing stakeholders to define reporting needs, clarify metrics, and turn ambiguous questions into trusted dashboards. Monitor pipelines, investigate data issues, and implement upstream quality checks. The role requires strong SQL, data modeling, modern BI experience, stakeholder collaboration, and a willingness to grow as an engineer.

Leads business intelligence and analytics initiatives, delivering performance insights and scalable reporting solutions. Designs data warehouses, data lakes, and BI platforms; extracts, transforms, and analyzes complex data; applies statistical and predictive modeling techniques; collaborates with stakeholders across business functions; prioritizes analytical projects; and mentors other analysts.

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.

Develops Power BI dashboards, reports, and automated workflows for Learning & Development and strategic management. Analyzes learning, workforce, and operational data to identify trends, measure effectiveness, and support business decisions. Partners with stakeholders to define reporting needs, improve processes, and administer learning technology platforms and LMS tools.

Supports enterprise data governance and business intelligence for NAVSUP by profiling datasets, defining quality rules and business glossaries, validating metadata and lineage, reconciling API data, and tracking remediation. Develops test cases, dashboards, scorecards, reports, documentation, and training materials. Collaborates with data owners, stewards, engineers, and government stakeholders in Agile environments using Informatica, MuleSoft, Axon, Power BI, Azure DevOps, and AWS GovCloud.

Leads enterprise business intelligence, operational analytics, reporting, and process automation priorities. Partners with Operations, Product, Technology, and the Data & Analytics Platform team to translate business needs into clear requirements, shape data strategy, prioritize initiatives, and validate delivered solutions. Drives AI/ML-enabled automation, executive reporting, and decision-ready insights while influencing technology governance and investment roadmaps without owning platform engineering or architecture.

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.

Develops, publishes, schedules, and supports interactive Power BI reports, dashboards, datasets, and enterprise data models. Uses SQL, DAX, Azure, SSAS, AAS, and Microsoft Power Platform to analyze financial data, automate processes, implement schemas, gather requirements, and apply row-level security. Collaborates with BI teams and business users to improve reporting, data access, and decision-making.

Owns end-to-end development and maintenance of Tableau and Amazon QuickSight dashboards for operational and executive stakeholders. Translates business needs into datasets, visualizations, and actionable insights; writes SQL for analysis and validation; collaborates with data engineers on AWS lakehouse sources; optimizes performance, validates data quality, documents dashboards, and continuously improves the BI portfolio.

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.

Supports Service Fund Operations by developing data solutions, ETL pipelines, reporting tools, and data models using SQL, Databricks, UDAP, Python, Power BI, and related platforms. Performs data analysis, troubleshooting, root cause analysis, user acceptance testing, and data migration support. Collaborates with business operations, IT, and provider relations to translate requirements into technical solutions and improve reporting and data quality.

Develop and distribute recurring reports, gather stakeholder requirements, enhance data and reporting capabilities, automate manual processes, analyze KPIs and trends, and present insights to business leaders. Partner with business and technical SMEs on data deep dives, quality improvements, and ad hoc finance and business initiatives. The role requires hands-on Power BI and SQL experience, strong Excel skills, and familiarity with VBA and Python.

Develops business intelligence applications and data models using Qlik, SQL, and related tools. Performs ETL, data validation, analytics process improvement, and impact analysis for reporting changes. Provides data-driven insights, supports audits and legislative inquiries, leads stakeholder meetings, and mentors teammates as a business intelligence subject matter expert.

Develops and maintains business intelligence applications, data models, reporting scripts, and analytics solutions using Qlik, SQL, and related tools. Imports data from multiple sources, validates data integrity, assesses downstream impacts, supports user testing, and collaborates with business stakeholders and IT to improve reporting processes and deliver actionable insights.