Top Data & Analytics Jobs

Own and govern centralized data assets; design scalable dbt/Snowflake models; model Stripe subscription and payments data; set SQL standards, testing, monitoring and documentation; lead complex BI projects in Hex; partner with product, engineering, operations and GTM to deliver durable analytics solutions.

Collects, cleans, validates, standardizes, analyzes, and reports institutional data. Maintains data storage systems and dashboards, supports rapid-response requests, presents analytical findings, coordinates with researchers and writers, manages multiple projects, and helps enforce data security, confidentiality, compliance, and quality standards.

Leads quantitative data analytics and insights for investment risk forecasting, portfolio construction, performance measurement, and reporting. Designs Python- and R-based analytical tools, production data platforms, quality frameworks, and quantitative models. Supports portfolio managers and analysts through risk analysis, statistical modeling, data integrity controls, reporting automation, and infrastructure improvements. Works with multi-asset security data, factor models, derivatives, valuation, VaR, stress testing, and performance attribution while providing technical guidance and solutions to business partners and senior leadership.

Leads enterprise DB2 database administration and data engineering for mission-critical financial trading platforms. Designs data architectures, replication solutions, security controls, automation, backup and disaster recovery processes across z/OS, Linux, cloud, and on-premises environments. Tunes SQL and database performance, troubleshoots production issues, manages upgrades and migrations, establishes operational standards, advises leadership, mentors engineers, and participates in 24x7 on-call support.

Leads enterprise data engineering strategy, architecture, and delivery across pipelines, APIs, data warehouses, and transactional systems. Oversees scalable AWS solutions, testing automation, CI/CD, data quality, performance optimization, and secure platform operations. Mentors engineering teams, manages cross-functional initiatives, guides technical strategy, and drives software delivery lifecycle improvements.

The Product Analyst will manage the product experience, consult clients, collaborate with internal teams, and guide new features in biotech and pharma contexts.

Build and lead scalable data and machine learning systems for an AI platform automating product regulatory compliance. Responsibilities include designing system architecture, selecting technologies, developing backend and internal services, collaborating with data and ML engineers, and balancing speed with scalability. The role requires strong Python, database, microservices, AWS, and Docker expertise, along with startup product development experience and technical leadership.

Develop and maintain Power BI reporting solutions, including dashboards, data transformation, semantic modeling, DAX, SQL, deployment, refresh management, and row-level security. Collaborate with business stakeholders, data engineers, analysts, and product owners to gather requirements, troubleshoot data issues, document logic, and deliver reliable insights. The role requires independent ownership, clear communication with technical and nontechnical audiences, Agile teamwork, and occasional international travel.

Develop and maintain Power Automate RPA workflows and enterprise integrations. Build Python automation, ETL processes, Azure and Snowflake data pipelines, data models, quality frameworks, and monitoring solutions. Create Power BI semantic models, reports, DAX measures, and security configurations. Support streaming, API, and application integrations across Azure, Snowflake, Databricks, Kafka, and related platforms.

Design, develop, test and support Informatica ETL workflows integrating Oracle, MySQL, Salesforce and Data Lake sources. Create/modify Perl scripts, produce design documentation and data flow diagrams, collaborate with QA and business users, troubleshoot issues, and cross-train team members. Follow secure development practices and support performance and integration testing.

Design, build, and maintain large-scale GCP data pipelines and data warehouse solutions using Dataproc, GCS, BigQuery, Hadoop/Spark/Hive and Airflow. Mentor engineers, run agile ceremonies, prioritize backlog, provide on-call support, and deliver data models and products at multi-TB/PB scale.

Mobile Analyst role requiring 6+ years experience. Candidate must have strong SQL skills and experience with DOMO, Snowflake, and Adobe Analytics (or similar). Position is located in Shakopee, MN, 12+ month duration, and restricted to U.S. citizens/local candidates.

Supports data governance, quality, metadata management, AI readiness, and commercial analytics initiatives. The role establishes data definitions and standards, validates datasets, manages catalog content, investigates data issues, monitors governance metrics, and translates business requirements into trusted data solutions for reporting, business intelligence, and AI applications.

Leads global Finance and Procurement Operations analytics, reporting, process intelligence, automation, AI enablement, data governance, and performance management. Establishes KPI frameworks, dashboards, predictive insights, and governance processes while identifying operational improvements and quantifying business impact. Partners with finance, procurement, technology, audit, compliance, and security stakeholders to support transformation and decision-making. Manages demand prioritization, benefits realization, responsible AI adoption, and a global analytics team, including talent development and organizational leadership.

Leads enterprise data analytics, business intelligence, reporting, governance, and performance management initiatives. Develops data strategies, integrates information from enterprise systems, builds executive dashboards and KPI reporting, performs forecasting and trend analysis, and identifies automation and AI opportunities. Provides strategic insights for leadership decisions and manages data management and reporting teams in DHS or DoD environments.

Supports the MCB Camp Lejeune IGI&S program through GIS data management, geospatial analysis, modeling, web-based GIS solutions, cartographic production, data quality assurance, and technical support. Creates and maintains geospatial data, develops maps and web maps, documents workflows, collaborates with clients and project teams, and supports GIS requirements across environmental and facilities functions.

Lead a GIS team supporting MCB Camp Pendleton: manage GIS data, perform geospatial analysis, cartography, data migration, QA, stakeholder communication, technical support, and field data collection.