Top Data & Analytics Jobs

Leads the design and development of data architecture, telemetry, reporting, and analytics solutions for business operations. Builds data engineering capabilities supporting KPI reporting, workforce analytics, dashboards, automation, and self-service insights. Establishes data quality, governance, and controls while partnering with Technology teams to integrate enterprise data sources. Supports AI-enabled insights and continuous improvements in reporting speed, scalability, quality, and usability.

Leads a business intelligence and operating insights function, developing workforce economics and performance strategies. Establishes KPI frameworks, governance routines, management reporting standards, and incident review processes. Partners with executives and cross-functional teams to identify productivity improvements, optimize costs, strengthen organizational effectiveness, and enhance operational resilience. Presents analytical insights and recommendations to senior leadership while overseeing transformation initiatives and a high-performing team.

Leads a team analyzing the U.S. automotive market, developing industry, segment, competitor, sales, and market-share forecasts. Translates complex data into actionable recommendations for North American leadership and partners with Marketing, Sales, Finance, Investor Relations, and Communications. Establishes annual and monthly outlooks, supports statistical and predictive modeling, develops forecasting tools, and presents insights to senior leaders.

Conduct quantitative research for automated trading strategies by developing mathematical models, translating algorithms into code, backtesting trading signals, analyzing unconventional data, and refining monetization systems. Collaborate with senior researchers during an 11-week post-doctoral internship while applying advanced probability, statistics, machine learning, and time-series techniques to financial markets.

Build and maintain executive, sales, and departmental dashboards; consolidate data from multiple sources; automate recurring and ad hoc reporting; analyze SQL queries and scripts to identify trends and outliers; and recommend business improvements. The role also coordinates data quality assurance, resolves reporting errors, collaborates with stakeholders, and applies AI tools to streamline data exploration and reporting workflows.

Develops business intelligence solutions, dashboards, scorecards, and reports using retail, dealer, customer, and operational data. Conducts geospatial and market opportunity analysis to support growth, facility planning, and dealer network strategy. Partners with stakeholders to define analytical requirements, communicates actionable insights, and drives adoption through training and documentation. Supports transformation initiatives through data analysis, measurement frameworks, process improvement, and automation.

Develops and maintains business intelligence reports, analyzes data, integrates Salesforce and Tableau, and supports catalog and pricing data processes. Partners with sales, business development, and program teams on growth strategies, KPIs, market reports, and strategic planning. Provides reporting-tool expertise, training, and ad hoc market analysis while monitoring commercial aerospace trends. The role is fully remote and requires aerospace industry experience.

Designs, develops, tests, and maintains secure, scalable data pipelines and architectures. Uses Python, PySpark, SQL, AWS, and data modeling techniques to support reliable data collection, storage, processing, and analytics. Responsibilities include ETL development, performance tuning, system design, data visualization, troubleshooting, control reviews, and operational stability. The role also applies AI-assisted development tools responsibly and contributes to engineering practices, automation, and continuous improvement.

Leads solutions analysis and technical program delivery for cloud business operations. Translates business requirements into technical solutions, analyzes large datasets, manages public cloud cost allocation and billing, investigates spending changes, and provides financial insights for budgeting and forecasting. Collaborates with Finance, Accounting, Engineering, product owners, and FinOps stakeholders while applying AI-assisted analysis, validating outputs, and managing ambiguity and change.

Leads credit card acquisition analytics for U.S. consumer and small business portfolios. Manages data scientists and analysts, develops predictive models, evaluates marketing campaigns, shapes offer and targeting strategies, and translates customer and channel insights into measurable business outcomes. Partners with product and marketing leaders, communicates findings to senior stakeholders, and promotes experimentation, model governance, scalable reporting, and continuous improvement.

Supports quantitative research by cleaning financial datasets, testing statistical models, creating visualizations, documenting findings, and collaborating with analysts and internal teams. The intern gains exposure to investment analysis, financial technology, and research workflows through mentorship, training, and project-based work.

Supports the development and maintenance of reports, dashboards, and analytics solutions for supply chain and business decisions. Works with large datasets using Power BI, Databricks, SQL, and Python to perform data extraction, reporting, and ad hoc analysis. Collaborates with cross-functional stakeholders, communicates insights, contributes to reporting processes, and gains experience in an Agile environment.

Own product analytics and customer success data domains by building governed models for product usage, feature adoption, customer health, onboarding, renewals, churn, expansion, and net revenue retention. Partner with Product, Customer Success, RevOps, Finance, and analysts to create semantic models, metric definitions, instrumentation, documentation, alerting, and self-service tools. Use dbt, Snowflake, Omni, Hex, and AI-assisted development to turn ambiguous stakeholder questions into durable data products.

Staff Data Engineer will set technical direction and build Eve’s scalable data platform. Responsibilities include Snowflake administration, role-based access, governance, ingestion, dbt modeling and orchestration, Terraform infrastructure, observability, schema change detection, reliability practices, and CI standards. The role also mentors engineers and analysts, supports AI-assisted development, and establishes secure, reliable workflows for product, case, customer, and go-to-market data.

Own Eve’s go-to-market data models and semantic layer for governed metrics including pipeline, conversion, CAC, win rate, ARR, and bookings. Establish certification frameworks, modeling standards, documentation, alerting, and analytical application patterns across the organization. Partner with Sales, Marketing, Customer Success, and RevOps stakeholders, resolve conflicting metric definitions, enable AI-grounded data tools, review contributions, and mentor analytics engineers.