Top Data & Analytics Jobs

Analyze Deploy’s media and sports offerings, priorities, metrics, client solutions, and commercialization strategies. Support multiple projects, communicate analytical findings, collaborate with machine learning and engineering teams, and contribute to business growth and client outcomes. The role also involves monitoring industry practices, protecting information assets, and supporting awareness of Deploy’s AI-powered products among target media, sports, agency, and advertiser communities.

Designs and maintains scalable data models, semantic layers, ETL/ELT workflows, data-quality frameworks, and governed analytics products for commercial operations. Owns data solutions from requirements through deployment, monitoring, documentation, and support. Partners with technical and business stakeholders to deliver trusted reporting, dashboards, scorecards, productivity measurements, and AI-enabled decision support.

Lead analytics for billing and payments across digital and assisted channels. Develop measurement frameworks, KPIs, dashboards, and automated reporting; conduct advanced analyses, root-cause investigations, forecasting, anomaly detection, and data validation. Apply AI-enabled tools to improve insight generation and decision support, ensure data quality, and communicate recommendations to executives. Partner with cross-functional teams, lead strategic analytical initiatives, promote self-service analytics, and mentor analysts.

Develops analytics, dashboards, data models, and reporting solutions for law firm profitability, staffing, pricing, pipeline, matter performance, and AI utilization. Partners with leadership, engineering, data science, and knowledge management teams to ensure data quality, establish metrics, integrate AI insights, and deliver actionable recommendations for strategic and operational decision-making.

Develop and optimize quantitative trading strategies using large-scale financial datasets, statistical modeling, machine learning, and data analysis. Responsibilities span signal development, backtesting, production implementation, performance monitoring, and optimization. The role requires writing scalable code for live trading systems, diagnosing strategy behavior, collaborating with researchers, traders, and engineers, and continuously improving prediction and execution performance.

Summer interns support systematic macro trading by building data pipelines, analytical models, trading signals, backtests, and AI-powered tools. They collaborate with portfolio managers and quants, contribute to analytics libraries, research trade ideas, and support risk and trading decisions. The program includes training in financial markets, Python, Excel, AI tools, and LLMs, with potential conversion to a graduate program.

Leads Pebl’s data strategy, modern data infrastructure, security, governance, analytics, and AI integration. The Director of Data will architect scalable pipelines, turn data into business insights, embed AI across products and internal workflows, communicate findings to executives, and build a high-performing team of data engineers, analysts, and AI specialists. The role requires close collaboration with Marketing, Sales, Operations, Finance, Legal, and R&D, with in-office work in Palo Alto Monday through Wednesday.

Analyze sales, marketing, and revenue operations data to uncover insights and improve go-to-market strategies. Collaborate with Sales, Data Science, Marketing, and Finance teams; build scalable reporting tools; and present strategic recommendations to executive leadership. The role requires SQL-based analysis, strong data management, proactive ownership, and interest in ecommerce marketplaces. Successful interns may be considered for full-time employment.

Lead BHSI’s enterprise Master Data Management transformation, defining strategy, architecture, operating model, and roadmap. Own Party Data management, identity resolution, hierarchies, survivorship, governance, quality, and expansion into additional master and reference domains. Partner with underwriting, claims, finance, operations, and technology leaders to deliver trusted data products through APIs, streaming, and analytics platforms. Build the MDM team, manage vendors, guide platform implementation, and communicate outcomes to executives.

Leads commercial analytics and business intelligence strategy, including executive dashboards, account reporting, revenue and pricing analytics, operational KPIs, forecasting, segmentation, and predictive modeling. Partners with Sales, Finance, Marketing, Operations, and Product to improve revenue, profitability, customer retention, and marketplace performance. Presents insights to executives and customers while managing analytics teams, budgets, vendors, and BI scalability.

Develops automation, data pipelines, databases, analytics, machine learning models, reporting tools, and web applications for package technology quality assurance. Analyzes manufacturing, product, and reliability data to support risk assessment and root-cause investigations. Collaborates with engineering teams, communicates findings, trains users, maintains software and reports, and shares analytics best practices across global teams.

Design, build, deploy, and support scalable cloud data platforms, pipelines, and applications for risk management. Lead technical direction across data engineering, analytics, and machine learning teams; establish reusable engineering patterns; implement security and privacy controls; and collaborate with product managers and software engineers. The role includes mentoring, stakeholder communication, distributed data processing, data modeling, warehousing, streaming, and both relational and NoSQL database solutions.

Leads large-scale data engineering initiatives for Risk Tech, designing and delivering scalable cloud data platforms, pipelines, and applications. Responsibilities include architecture, data modeling, distributed processing, cloud warehousing, AI-enabled risk solutions, platform evaluation, operational resilience, and technical mentoring. The role collaborates with product managers, software engineers, analysts, and data scientists while independently driving architectural decisions and communicating technical outcomes to stakeholders.

Leads Scout’s geospatial, data analytics, enterprise GIS, data governance, automation, and AI capabilities supporting renewable energy development. Establishes strategy, architecture, standards, and scalable systems for site selection, project development, engineering, construction, and investment decisions. Builds and manages a technical team, oversees technology investments and vendors, integrates business platforms, drives digital transformation, and partners with executive and cross-functional leaders to deliver measurable business outcomes.

Leads the design, development, testing, tuning, and optimization of financial crimes detection models across AML, fraud, KYC, and sanctions. Performs statistical analysis, threshold calibration, back-testing, model efficacy assessments, feature engineering, and root cause analysis. Configures financial crimes platforms, monitors model performance, establishes testing and governance standards, and partners with Model Risk Management and leadership on validation, audit, regulatory, and risk-related initiatives.

Performs business analysis, requirements gathering, process evaluation, solution design, testing, and implementation support for insurance new business and underwriting initiatives. Analyzes operational data, develops dashboards and KPIs, identifies automation opportunities, and supports AI and machine learning governance, testing, and adoption. Partners with business, technology, data, risk, compliance, and leadership teams to prioritize solutions, improve processes, and communicate measurable outcomes.

Build, deploy, and maintain enterprise-scale data applications, platforms, and ETL/ELT pipelines. Organize structured and unstructured data from disparate sources, develop scripts for data conversion, and support scalable, monitored data platforms. Collaborate with analysts, engineers, developers, and data consumers in an agile environment while contributing to mission-driven projects involving analytics, fraud detection, research, and national intelligence.

Develop Power BI dashboards and advanced analytical solutions for pricing and commercial decisions. Analyze complex customer and profitability data using SQL, Python, statistical techniques, predictive modeling, machine learning, and Databricks. Improve data quality through reconciliation, deduplication, and matching. Partner with pricing, sales, and product marketing stakeholders to translate business questions into actionable insights while improving analytics tools, processes, automation, and AI applications.

Performs business analysis, operational data analysis, process evaluation, solution design, testing, and implementation support for insurance new business and underwriting initiatives. Develops dashboards, KPIs, reports, and executive materials; identifies automation and workflow improvements; and supports AI and machine learning governance, testing, monitoring, and adoption. Partners with business, technology, data, risk, compliance, underwriting, and leadership teams to prioritize initiatives, resolve issues, and track measurable outcomes.

Develops data analytics solutions for intelligence mission applications, including structured and unstructured data enrichment, conversion, ingestion, characterization, and analysis. Uses statistical methods, machine learning, metadata processing, schemas, databases, and big data frameworks to identify patterns and deliver visualized datasets. Collaborates with mission customers, software engineering teams, data stewards, and stakeholders. Requires active TS/SCI with current polygraph, eight years of software development experience, and an approved technical certification.

Build and maintain scalable data pipelines from financial data vendors into Snowflake and Databricks gold tables supporting machine learning. Lead end-to-end projects involving LLMs, RAG, and AI technologies; implement CI/CD, infrastructure-as-code, containerization, testing, monitoring, and cloud-native deployments. Collaborate with stakeholders, ensure data quality, mentor junior engineers, and travel up to 20% to support distributed teams.

Develop and maintain data pipelines for GEOINT datasets, transform and standardize data for machine learning environments, assist with data service development, document workflows, analyze data, and support data quality. Collaborate with senior engineers and scientists on Department of War artificial intelligence initiatives while communicating findings and adapting to changing priorities.

Analyze customer behavior across digital and phone journeys, develop experiments and OKRs, and translate data into actionable recommendations. Partner with product, technology, design, modeling, and analytics teams to improve customer experiences and operational efficiency. Present insights to senior stakeholders, support predictive analytics and machine learning initiatives, and maintain data governance through collaboration with data owners.

Develop and execute quantitative analytics and statistical modeling projects supporting fair lending activities. Build and test credit risk models for mortgage and financial products, implement models in software, conduct back-testing, stress testing, and performance monitoring, and document methodologies for regulatory model oversight. Provide technical support to business areas, independently resolve complex issues, and communicate analytical findings clearly.

Analyzes complex structured and unstructured data to identify trends, correlations, and insights. Builds dashboards, reports, data models, pipelines, and connectors; performs data cleaning, visualization, predictive modeling, and quantitative and qualitative analysis. Provides recommendations for strategic engagements and process improvement, develops analytic products, integrates APIs, and briefs senior leaders. The role requires Python, SQL, Power Platform experience, a bachelor's degree, and eligibility for a Secret clearance.