Top Data & Analytics Jobs

Supports the Strategy and Business Intelligence team through financial data assembly, analysis, reconciliation, reporting, dataset creation, documentation, and new business analysis. Partners with Client Solutions and Strategy teams, participates in agile meetings, tracks task progress, and provides status updates. The role requires an undergraduate business, finance, economics, risk management, or actuarial background, with Excel and Tableau knowledge preferred.

Supports Indonesian and broader Asian survey operations by monitoring data quality, managing quality-control staff, correcting survey issues, analyzing collection progress, and developing data-quality tools. Coordinates field operations, training, stakeholder engagement, translations, and backcheck processes. Provides insights on coffee and cacao sustainability data to country teams and supply-chain stakeholders. The role is fully remote from Indonesia with travel to regional agricultural areas.

Maintains and updates conflicts database records, especially corporate trees, parent-subsidiary relationships, and affiliated entities. Researches mergers, acquisitions, and other corporate transactions to keep data current, performs quality-control reviews, resolves discrepancies, and collaborates with Finance, Firm Intelligence, and Intake & Conflict Services teams. The role requires corporate research, database maintenance, strong attention to detail, and proficiency with research tools and online databases.

Analyze structured user and business data to identify trends, patterns, anomalies, and behavioral insights. Build and maintain dashboards, perform segmentation and cohort analysis, audit data quality, and produce clear reports for internal and client stakeholders. The role requires translating technical findings into actionable business strategies while collaborating with technical and non-technical teams.

Analyze business data and build dashboards, models, and data products supporting growth and product decisions. Maintain data pipelines, integrations, and data quality across the organization. Collaborate with finance, product, sales, growth, and leadership teams on funnel analysis, sales forecasting, revenue reporting, product analytics, and marketplace insights. The role requires end-to-end ownership of analytical projects and hybrid work in Los Angeles or Boston.

Own product analytics and growth measurement by partnering with product and design, defining metrics and event tracking, building dbt models and data pipelines, creating dashboards, and analyzing activation, engagement, retention, funnels, cohorts, and experiments. Establish trustworthy product data standards, identify product-market-fit indicators, surface insights, and influence roadmap decisions while collaborating with clinical and research analytics teams.

Manages the City’s enterprise GIS, including ArcGIS administration, geodatabases, web maps, applications, data analysis, ETL automation, upgrades, and technical support. Supervises GIS operations, coordinates projects with departments and agencies, develops standards and training, creates maps and dashboards, and presents GIS recommendations. Supports emergency mapping and may work nonstandard hours during implementations or emergencies.

Manage data and analytics consulting projects, teams, stakeholders, and delivery phases from requirements through deployment. Lead hands-on SQL and Python development, data modeling, data warehouse design, and BI visualization using tools such as Tableau, Power BI, Snowflake, and Databricks. Facilitate client workshops and executive meetings, manage risks and budgets, ensure client satisfaction, and contribute to practice growth through mentoring, recruiting, and methodology development.

Supports the design and development of scalable end-to-end data pipelines and cloud data platforms. Responsibilities include improving data reliability and quality, implementing data management practices, supporting automation and process improvements, ensuring secure and cost-effective solutions, and recommending system enhancements. The intern collaborates with global teams and gains hands-on experience in data engineering, project coordination, and innovation management.

The Principal Data Engineer designs and builds scalable cloud-native data platforms, pipelines, frameworks, and governed data products supporting analytics, reporting, AI, and operational workloads. Responsibilities include Databricks, Spark, Delta Lake, Azure, SQL Server, batch and streaming processing, data integration, performance optimization, governance, modernization, troubleshooting, architecture reviews, and mentorship. The role provides senior technical leadership without direct people management and supports insurance-domain data across policy, claims, billing, finance, and regulatory functions.