Top Data Analyst Jobs

As a Senior Data Analyst, you will develop data solutions, create database objects, optimize performance, and deliver insights via reports and dashboards, while collaborating with product teams.

Lead and mentor a team of analysts to deliver HR-related analytics and BI solutions. Mine and model large datasets, design tests, improve reporting and operational efficiencies, and collaborate across business units to inform strategy and product decisions.

Lead validation of enterprise analytical tools: refine validation framework, plan and execute projects, assess methodology quality and risk, prototype best practices, communicate findings, and coach junior staff.

Design and build Qlik Sense dashboards and data load transformations for middle/back-office teams. Develop and maintain backend services supporting the trade lifecycle, ensure accurate data flows, own audit-trail reporting, support production systems, and improve performance, reliability, and observability.

Support private markets data operations by processing LP documents, triaging automated exceptions, ensuring data quality, and analyzing trends to inform product and process improvements. Coordinate with onshore/offshore teams and partner with Product and Engineering on operational needs.

Lead and supervise a forensic data analytics team to develop statistical and predictive models, perform large-scale data integration and mining, manage projects and timelines, produce reports and visualizations, and support citywide investigations and audits. Ensure analytical rigor, mentor staff, and maintain data accuracy, security, and cross‑functional collaboration to inform investigative leads and policy recommendations.

Partner with workforce and business leaders to analyze headcount, role mix, capacity, cost, and OKRs; build analytical models, present clear data storytelling to senior stakeholders, and improve data quality and reporting to support workforce planning and strategic decisions.

Support Finance and Sales by reconciling and validating revenue KPIs (ACV, ARR, renewals), building reporting datasets and dashboards, collaborating with CRM and data engineering teams, and participating in month-end and quarter-end close activities. Provide ad-hoc analysis and stakeholder-facing explanations of metric derivation and data quality.

Lead a team delivering enterprise-wide model risk reporting and AI-driven automation. Build and deploy scalable ML/AI solutions, conversational reporting, multi-agent workflows, and centralized data integrations. Drive analytics strategy, validate models and data, improve reporting and operational efficiency, and collaborate across business units.

Lead data strategy and analytics for Compliance, focusing on Financial Crimes/AML. Drive ETL, source validation, and analyses to quantify compliance risk, support regulatory engagements, and influence product and compliance roadmaps. Communicate insights through visualization and cross-functional collaboration while leading multiple high-impact workstreams.

Contract marketing data analyst to clean and rebuild marketing data models, integrate ad/analytics and conversation data into Snowflake, ship dashboards, implement quality monitoring, align GTM models, and produce a data dictionary for team and LLM consumption.

Analyze transactional metrics to identify inefficiencies, financial risks, and fraud; produce and validate daily/weekly/monthly reports and proactive alerts; consolidate and validate data sources for reporting; recommend process improvements to improve collections efficiency and customer satisfaction; deliver presentations and special-project analyses to senior management while leveraging automation and AI tools.

Support stakeholders to gather and document requirements for analytics, reporting, data products, and AI solutions. Perform exploratory data analysis with SQL, identify data quality issues, create user stories and technical specifications, coordinate with engineering and BI teams, facilitate discovery workshops, and support UAT and standardized analytics practices.

The Data Analyst will evaluate data flow, develop solutions, communicate findings, create data visualizations, and ensure timely project completion.

Maintain and integrate investment data; build data systems and ETL pipelines; analyze large datasets; produce visualizations and reports (Tableau/Power BI/D3.js); improve data quality and governance; develop analytical tools; collaborate with clients, system architects, and product teams.

Lead analytics initiatives for credit card products by building data solutions, performing advanced analysis, creating BI dashboards, ensuring data quality and governance, and partnering with tech and business teams to enable self-service and drive strategic insights.

Lead product analytics for the Dealer team: run exploratory analyses, build and audit metrics, create dashboards, automate data transformations (dbt/LookML), partner with Data Engineering, and present insights to influence product strategy. Use SQL, Python/R, and GenAI tools to solve complex data problems and improve product performance.

Lead analytics initiatives by building data solutions, mining diverse datasets, and delivering BI dashboards and insights. Drive data quality, metadata and lineage, partner with business and tech teams on governance and access, and develop AWS-based tools and monitoring to enable self-service and data-driven decisions.

The Lead Data Analyst (Network) drives data-driven initiatives, dissects datasets, and provides actionable insights to enhance business performance and network efficiency.

As a Principal Data Analyst, you will drive workforce analytics initiatives, develop self-service data tools, and ensure data quality, leveraging various programming and data visualization tools.

As a Principal Data Analyst, you will innovate and manage data solutions, provide business intelligence, and ensure data quality for the Retail Bank.

Design and build data solutions using open-source technologies; enable self-service data consumption; partner with business to develop dashboards and insights; perform analysis; ensure data quality, metadata, lineage, and governance; collaborate with tech teams on security and data access; build monitoring and reporting for data quality.

Validate and review CO APCD-derived data products using SQL and visualization tools, perform output comparisons and project-level analyses, follow quality control standards, document findings, and communicate results to technical and non-technical stakeholders while supporting continuous improvement of data QA processes.

Support implementation and deployment of Multi-Touch Attribution solutions: gather requirements, design and validate data integrations, build and maintain ETL pipelines, troubleshoot data quality, collaborate with cross-functional teams, and communicate technical concepts to stakeholders to deliver marketing measurement outcomes.

The Big Data Analyst will evaluate datasets, improve analytical methods, support software developers, and assist end-users to enhance decision-making processes.