Top Data Analyst Jobs

The Senior Data Analyst/Modeler will lead data mapping for a new enterprise data platform, assess data quality, and perform complex queries.

Lead design, development, and maintenance of Power BI dashboards and self-service analytics. Translate stakeholder requirements into clear visualizations, collaborate with data engineering, write and optimize SQL and DAX, ensure data accuracy and performance, document models and assumptions, apply visualization best practices, and evolve dashboards using user feedback and AI tools.

The Data Management Analyst supports data projects and synchronization across platforms, analyzes business processes, ensures data integrity, and manages data load processes. Responsibilities include creating queries, project coordination, data testing, and refining data stewardship practices.

Lead Power BI developer for Legal, Compliance, Audit & Risk and Enterprise Risk Management. Own end-to-end reporting, data ingestion (Power Query), data modeling (DAX), dashboard development, automation, data quality, governance, and stakeholder-facing analysis and presentations. Support ad hoc analysis and incorporate AI overlays.

Collect, clean, and transform data from multiple sources; build data pipelines, models, and statistical analyses; design interactive dashboards and visualizations (Tableau/Power BI); communicate insights to stakeholders; maintain data dictionaries and adhere to governance and security.

The Sr. Analyst will build reporting solutions, collaborate across teams, advocate for user-centered design, and drive employee development in data management.

The Senior Data Governance Analyst will manage data governance initiatives, focusing on AI-enabled outcomes, stakeholder engagement, and ensuring high-quality, well-governed data for analytics and AI.

The Senior Analyst leads data integration projects, implements data pipelines, mentors engineers, ensures production readiness, and fosters engineering excellence within the team.

Support and administer the enterprise data governance framework by partnering with business, IT, and risk teams to define critical data elements, maintain metadata and lineage, monitor and remediate data quality issues, document governance standards, prepare governance materials, and support audits and reporting to improve data consistency, accountability, and compliance.

Develop and maintain labor market taxonomies and classifications; analyze large unstructured datasets to identify patterns; integrate taxonomies with data models; support data governance, migration, and cross-functional projects; monitor taxonomy best practices and contribute to data quality and consistency.

Conduct quantitative economic and fiscal research on NYC property tax policy, perform statistical analysis and programming, maintain and test property and owner data integrity, develop models (including sales-based market values), produce impact analyses and reports, build analytical database infrastructure, and present findings to senior leadership. Work includes data mining, ad-hoc analyses, and supporting audit-related modeling.

The Data Business Analyst will manage data integrity initiatives, lead project teams, and ensure accurate data processes, primarily using Salesforce.

The Data Business Analyst will lead data-related projects, ensure data integrity, manage cross-functional teams, and deliver reports while maintaining Salesforce data accuracy.

The Data & AI Analyst will manage customer data migrations, enhance internal tools, build reporting solutions, and collaborate on data quality with engineering.

The Data Business Analyst will lead data integrity projects, manage cross-functional teams, ensure data accuracy in Salesforce, and deliver reports to stakeholders.

Validate and assure enterprise data quality across source systems, ETL/ELT pipelines, data warehouses, and reporting. Investigate production incidents, design test strategies and automated validation, perform regression and non-functional testing, analyze data quality metrics, support compliance/audit activities, and collaborate with engineering and business stakeholders to improve data governance and controls.

Lead analytics for enterprise systems to convert operational data into actionable insights. Build automated reports, dashboards, and data pipelines using SQL, Python, Snowflake, and BI tools. Partner with Manufacturing, Finance, and Engineering to analyze production drivers, support regulatory and financial reporting, improve data QC, and document data tools and workflows.

Design, build, and maintain data pipelines, dashboards, and predictive models. Analyze large datasets to generate actionable insights, collaborate with stakeholders, ensure data quality and governance, and document/share analytics best practices to support Marketing, Product, Operations, and Workforce teams.

Partner with Product, Engineering, and Design to own product analytics: define success metrics, build data models and dashboards, validate launches, monitor products, run deep-dive analyses, design experimentation, audit tracking across web and mobile, and develop AI-enabled analytics workflows to surface insights and measure product performance.

Partner with business teams to convert manual reporting and spreadsheet-driven workflows into trusted self-serve data products and automated tooling. Define metrics, build or scope dashboards and automation, triage and prioritize tool requests, write engineering-ready specs, and deliver lightweight fixes or handoffs to engineering. Measure success by reduced manual work, trusted dashboards, and time saved.

Partner with business teams to convert manual reporting and spreadsheet workflows into trusted, self-serve data products and automated processes. Define metrics, build dashboards, scope and write engineering-ready specs, triage tool requests, and deliver lightweight automation or handoffs to engineering to improve reporting trust, reduce manual work, and increase efficiency.

Lead development and maintenance of actuarial data marts, extracts, reports, validations and audits. Drive requirements, technical specs, automations, and financial analyses; mentor staff and coordinate with vendors and business partners to ensure accurate, auditable financial data.

Lead and improve reporting and automation for Client Services by building and maintaining Tableau and Power BI dashboards, automating reports and reconciliations, expanding data warehouse and API integrations, performing SQL and database analysis, managing QC and governance, and collaborating with software/IT, clients, and vendors to drive reporting improvements.

Manage, structure, and report company and customer data in a SQL-based environment. Build advanced SQL queries, dashboards (Power BI), automated processes (stored procedures, scheduled tasks, VBA/Excel), and analyses across accounting, manufacturing, procurement, inventory, and supply chain. Ensure data classification and security in a regulated environment and support cross-functional stakeholders.

Develop and maintain interactive dashboards and visualizations (primarily Power BI) to support inventory, manufacturing, supply chain, and operations. Clean and model data from disparate sources, validate accuracy, automate reporting, define KPIs with stakeholders, and communicate actionable insights to technical and non-technical audiences.