Top Data & Analytics Jobs

Build and maintain dbt data models in Redshift, applying software engineering practices, testing, documentation, and clear lineage. Translate business questions into reusable models, dashboards, and governed semantic metrics for analysts and AI initiatives. Support experimentation and campaign measurement, collaborate with data engineering and product teams, develop AI-driven workflows, and proactively resolve data quality issues.

Leads quantitative research and modeling for mortgage finance, including MBS prepayment, loan behavior, credit risk, cash-flow, valuation, and stress-testing models. Develops model-ready datasets, performs calibration, backtesting, benchmarking, and sensitivity analysis, and evaluates model risk. Applies Python and advanced machine learning techniques, mentors team members, communicates findings to technical and nontechnical stakeholders, and collaborates with capital markets, economists, data scientists, risk, technology, and governance teams.

Analyzes and manages geospatial and attribute data, develops and maintains GIS databases, creates maps and reports, supports GIS applications, conducts field mapping research, verifies data accuracy, manages projects, prepares technical presentations, and provides technical support and training. The role operates under general supervision and advises management on project progress and deadlines.

Leads organizational data analytics, performance measurement, impact evaluation, dashboards, reporting, and data governance. Translates complex findings into recommendations for leaders, board members, funders, and stakeholders. Establishes performance indicators, supports strategic planning and continuous improvement, strengthens data literacy, and supervises a Data Coordinator. Partners across departments to improve data collection, evaluate effectiveness, demonstrate impact, and support grant reporting, fundraising, and communications.

Partners with business users to gather requirements, design Power BI dashboards, conduct ad hoc analysis, and deliver actionable insights. Maintains the business insights catalogue, promotes data literacy, supports dashboard adoption, and provides user guidance. Collaborates with BI developers and analytics engineers on data models, reporting needs, KPI definition, data quality, and iterative visualization improvements.

Leads extraction, preparation, and analysis of web, media, research, and healthcare claims data. Identifies performance trends and optimization opportunities, integrates digital and real-world data, builds dashboards and reporting frameworks, and presents actionable insights to clients and stakeholders. The role also provides thought leadership on measurement, KPIs, data integrity, and responsible use of generative AI.

Delivers financial and operational reporting, dashboards, forecasting, variance analysis, and profitability insights for Financial Services clients. Uses SQL, Power BI, and Excel to validate data, identify anomalies, support client implementations, and improve reporting processes. Partners cross-functionally with accounting, operations, analytics, FP&A, vendors, and leadership while maintaining data governance, documentation, and reporting standards.

Designs, develops, and optimizes high-availability relational databases supporting high-volume logistics services. Responsibilities include schema and database object architecture, SQL and T-SQL development, stored procedure implementation, performance tuning, scalability improvements, code reviews, prototyping, and end-to-end feature delivery. The role collaborates with engineering and infrastructure teams and may support database administration, cloud migrations, and modern data platforms.

Define product, feature, and agent metrics; design and analyze experiments; evaluate model and product changes; investigate performance anomalies; build statistical models, dashboards, and analytical tools; and translate complex analyses into actionable recommendations. Partner with Product, Engineering, and Machine Learning teams to improve instrumentation, data quality, experimentation systems, and understanding of customer impact.

Maintain Security Master data in BlackRock Aladdin, perform daily quality control reviews, research and resolve complex investment data and system issues, support audits and reconciliations, partner with internal teams and vendors, support client service, and drive process improvement, automation, and documentation.