Top Data Analyst Jobs

The e-Data Services Analyst provides technical support for eDiscovery, manages data acquisition, processes electronic materials, and assists legal teams using various industry tools and protocols.

Lead analytics for self-serve support, automation, and tooling. Build dashboards, define KPIs, run strategic analyses and experiments, model scenarios, and partner with cross-functional stakeholders to improve CSAT, automated resolution, cost deflection, and adoption.

Lead development of complex data models, datasets, and Tableau dashboards; perform deep analyses of large datasets; present insights to senior leadership; optimize SQL queries and Snowflake-based pipelines; mentor junior BI team members and partner with business units to define KPIs and drive data-driven decisions.

The Data Analytics Audit Analyst II ensures internal controls are effective, analyzes audits, collaborates on AI strategies, and enhances audit processes using data analytics.

Lead development and scaling of financial analytics: build data models, dashboards, and reporting; translate financial data into executive insights; embed predictive analytics; partner with Finance, IT, and business units to improve data quality, governance, forecasting, and automation.

The Data Analyst in Digital Finance will collaborate on reporting templates, maintain analytics data, build accounting data pipelines, create dashboards, and support ad hoc data requests.

Serve as the first point of contact for analytics platform users: triage and analyze inquiries, log requests in ServiceNow, perform preliminary investigations, coordinate with technical teams, create user documentation and FAQs, and track trends to recommend improvements to platform adoption and processes.

Senior Data Analyst supporting the Credit department by delivering data mining, BI reporting, and automation solutions. Uses SQL, SSRS, Tableau, and Excel to analyze business functions, document findings, recommend operational improvements, explore systems-based solutions, mentor junior staff, and support assigned projects.

Lead and support enterprise data governance strategy, data risk and controls frameworks, policy adoption, metrics, issue tracking, and regulatory/audit response. Partner with business and global functions to measure and improve governance adoption and performance.

Senior Addepar data engineer/analyst responsible for supporting and scaling Addepar integrations, building and maintaining data pipelines (Addepar↔Snowflake/Canoe/other platforms), diagnosing and resolving data quality issues, developing SQL-based reconciliations and automation, partnering with business and technology stakeholders, and supporting production operations, governance, testing, and documentation for wealth and asset management data.

Support investment data management by performing detailed data analysis, database queries, and issue resolution. Manage investment entity setup, respond to business questions on data timeliness and quality, troubleshoot production issues with technology partners, and participate in operations projects providing subject-matter expertise.

The HR Data & Analytics Analyst supports workforce reporting and analytics, analyzing data, producing reports, and identifying trends for informed decision-making in HR and business operations.

Lead data-focused Salesforce initiatives: engage stakeholders, assess and map legacy data, define migration and governance strategies, execute migrations using ETL/Data Loader tools, validate data through testing and reconciliation, and support reporting, analytics, and user enablement in Agile environments.

Support and operationalize enterprise data governance across domains: execute stewardship processes, define and monitor data quality, manage metadata and catalog content, coordinate issue resolution, enable users with training and documentation, and support analytics/AI data readiness.

Lead day-to-day management of multi-year data projects (Neighborhood Vitality Index, Hope Starts Here). Conduct quantitative and qualitative analysis, design and analyze surveys, coordinate with external partners and internal teams, perform stakeholder outreach and engagement, and produce accessible data products and communications for non-technical audiences to inform decision-making across Detroit-area organizations.

The Data Management and Automation Analyst manages data repositories, conducts analytics, implements system enhancements, and leverages AI to streamline processes while ensuring compliance and data governance.

As a Senior Data Analyst for Fraud Strategy & Operations, you will analyze data to identify fraud trends, build predictive models, design fraud prevention rules, and collaborate with cross-functional teams to enhance fraud detection capabilities.

The AVP Data Analyst supports Enterprise Risk Management by managing data onboarding, ensuring data quality, documenting requirements, and collaborating with stakeholders to enhance data processes.

The Senior Data Analyst will manage the lifecycle of data analysis projects for RevolutionParts, develop complex models using SQL and Python/R, ensure data integrity, create dashboards in Looker, and mentor the team on data strategy.

The Senior Data Analyst will lead customer insights and competitive intelligence analysis, translating data into strategic recommendations to shape product direction and drive decision-making. Responsibilities include analyzing customer behavior, developing frameworks for competitive threats, and collaborating with cross-functional teams to influence data product roadmaps.

The role involves mastering company data pipeline architecture, leading data improvement initiatives, and collaborating with engineering and product teams to enhance data systems.

Design, develop, and maintain enterprise Power BI dashboards, semantic data models, and scalable datasets. Define standardized reporting frameworks and KPIs, translate stakeholder requirements into reporting outputs, and deliver analytics and visualization capabilities to support operational and strategic decision-making.

Analyze and transform data to produce reports, dashboards, and insights supporting fraud and financial-crime decisions. Maintain databases, data pipelines, data quality, and governance; produce ad-hoc analysis and visualizations; support automation and mentor junior analysts.

Support enterprise data governance by documenting business and technical metadata, mapping end-to-end data lineage, identifying data quality gaps, implementing remediation with stakeholders, and maintaining governance deliverables and reports.

Own end-to-end API integrations (ingest and export) for customer data into CoStar Debt Solutions: scoping, credentialing, mapping, reliability, monitoring, and customer support. Build production-grade REST/GraphQL/webhook pipelines, scripts for transform/validation, and evolve integrations into agent-callable typed contracts.