Top Data & Analytics Jobs

Designs and delivers data-driven audience, targeting, and measurement solutions for digital marketing campaigns. Translates business goals into technical requirements, improves data quality and reporting, standardizes audience documentation, and manages initiative execution, monitoring, issue triage, and alerts. Partners with Marketing, Product, and Technology on platform enhancements while identifying responsible artificial intelligence applications with human oversight, governance, explainability, and measurable outcomes.

Develop scalable, reusable data and reporting solutions, production pipelines, dashboards, and proof-of-concepts. Apply data engineering, quality testing, metadata, lineage, compliance, and security practices while optimizing infrastructure performance, reliability, and cost. Evaluate emerging tools and GenAI applications, collaborate with technical and business stakeholders, prioritize customer value, and mentor junior team members.

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.

Senior Data Analyst delivering complex reporting, analytics, and insights for Medicare Advantage supplemental benefits. Build and maintain ETL/ELT pipelines, scalable reports, dashboards, and data products using SQL, Snowflake, Databricks, and Python/PowerShell. Partner with stakeholders and vendors to ensure data quality, compliance, and actionable recommendations; mentor colleagues and drive process improvements.

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.

Analyze observability, digital experience, and business analytics data for enterprise clients to improve website performance and user engagement. Manage relationships with 4–8 clients, conduct ad hoc analyses, configure Dynatrace solutions, create reports and dashboards, present findings to technical and executive audiences, provide training, and influence product roadmap decisions. The role combines advanced data analysis, strategic consulting, customer account management, and executive communication.

Designs and develops scalable, reusable data solutions, production pipelines, reporting dashboards, and proof-of-concepts for business stakeholders. The role includes data engineering, infrastructure optimization, data quality testing, metadata and lineage management, compliance, security, and Gen AI applications. Responsibilities also include evaluating tools, mentoring junior team members, prioritizing customer-focused solutions, and collaborating with technical and non-technical stakeholders.

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.

Designs and develops scalable, reusable data solutions, production pipelines, dashboards, and reporting tools. Builds proof-of-concepts, optimizes data infrastructure, implements data quality testing, and applies metadata, lineage, compliance, and security principles. The role also evaluates data engineering technologies, explores generative AI applications, supports stakeholder needs, prioritizes customer value, and mentors junior team members.

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.

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.

Designs and develops scalable, reusable data solutions, production pipelines, reporting dashboards, and proof-of-concept systems. Responsibilities include data engineering, infrastructure optimization, data quality testing, metadata and lineage management, compliance, security, GenAI applications, and iterative solution testing. The role collaborates with technical and non-technical stakeholders, prioritizes customer value, mentors junior team members, and evaluates emerging data engineering tools and technologies.

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.

Analyzes customer and business requirements, data, test results, and program outputs to implement accurate batch data fulfillment solutions. Serves as a liaison between business, technical, and operational teams; configures systems, executes test plans, troubleshoots processing issues, maintains documentation, and ensures compliance with legal and operational standards. The role also supports process improvements, cost reduction, quality initiatives, and timely program delivery using proprietary systems.

Lead analytics for lead intelligence and revenue optimization: develop forecasting, modeling, and simulation to prioritize lead inventory, recommend allocation rules, build KPIs, and partner cross-functionally to implement rules and drive revenue outcomes.

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.

Short-term, paid project to export and submit personal financial data from multiple apps. Participants must provide exports from specific financial categories, create two financial artifacts, redact PII on-device using a provided tool, and follow quality and timeline requirements until Final Approval.

Senior Data Analyst cleans and prepares data, builds reports and dashboards using Power Platform, Excel, DAX, M, R or Python, develops data models and predictive/ML solutions, supports client/internal projects, and may lead others or assist business development.

Lead advanced data strategy and analytics for Procurement and Travel Operations. Analyze complex problems, ensure data quality, define metrics, build visualizations, translate business needs into data solutions, mentor analysts, and evaluate emerging analytics tools to drive cost savings and operational improvements.

The Data Governance Analyst will design and implement data governance practices, maintain metadata, and enhance data quality and compliance, collaborating with teams across the enterprise.

Develops, maintains, and analyzes manufacturing reports, ensuring timely delivery, accuracy, and data integrity. Monitors existing reports for data changes and discrepancies, translates complex information into user-friendly insights, and communicates key takeaways to internal customers and management. The role requires expertise with ERP, TMS, inventory systems, Excel, and Power BI, along with manufacturing, supply chain, or analytical experience. Work occurs in warehouse and office environments with frequent lifting and standing.