Top Hybrid Data & Analytics Jobs

Analyzes complex automotive data, standardizes datasets and KPI definitions, partners with engineering and governance teams, and develops scalable self-service dashboards. The role translates ambiguous business needs into data requirements, automates digital analytics programs, investigates trends and attributes, and supports enterprise reporting. It requires SQL, Excel, data visualization, statistical analysis, and AI tool experience. The position is hybrid, requiring at least 10 office days monthly, with travel up to 10%.

Analyze exchange datasets across equities, FX, options, and futures; develop liquidity and order-book metrics; and create commercial, client-ready data products. Apply statistical and machine learning methods to identify patterns, anomalies, and predictive signals. Partner with engineering, sales, marketing, internal teams, and clients on data ingestion, normalization, cloud distribution, product specifications, competitive analysis, and market-data commercialization.

Lead the architecture and implementation of scalable GCP and Databricks data lakehouse platforms. Design batch and real-time pipelines, data models, governance, cataloging, security, and performance strategies. Act as a technical lead and trusted client advisor while mentoring engineers, guiding architecture decisions, conducting proofs of concept, and supporting hands-on troubleshooting and delivery.

Collects, cleans, validates, and analyzes data from multiple sources. Develops dashboards, reports, and visualizations using SQL, Excel, Power BI, or Tableau. Identifies trends, monitors data quality, supports KPI tracking, and delivers actionable insights for business decisions. Collaborates with stakeholders, documents analytical processes, prepares regular and ad hoc reports, and recommends process improvements based on data.

Leads the technical strategy, architecture, engineering, and delivery of industrial data solutions. Oversees data engineering teams, current warehouse reliability, Databricks lakehouse migration, ERP data migration from SAP ECC and legacy platforms to SAP S/4HANA, and data governance standards. Develops multi-year roadmaps, establishes engineering practices, manages contractors and vendors, and partners with business, finance, SAP, and technology leaders to deliver scalable, reliable data products.

Lead and grow Stash’s Data Engineering team while owning the AWS data platform roadmap. Improve reliability, observability, incident response, automation, CI/CD, infrastructure as code, data quality, security, and cost management. Guide ingestion, distributed processing, storage, warehouse delivery, and real-time pipelines. Partner with engineering, SRE, analytics, data science, and business stakeholders to establish ownership, reliable data contracts, and maintainable architecture.

Build and maintain reporting suites, dashboards, analytical models, and quantitative analyses that support business decisions. Partner with leaders across Operations, Risk, Servicing, Finance, Product, and Sales to investigate complex questions, generate actionable insights, and identify growth opportunities. Collaborate with data engineers to ensure accurate data delivery while managing multiple cross-functional projects and communicating findings through clear, persuasive narratives.

Advance enterprise data governance by analyzing and improving business and data-management processes, facilitating cross-functional stakeholder sessions, translating policies into workflows and controls, and supporting data quality, access governance, data sharing, lineage, cataloging, and data product initiatives. The role requires extensive requirements elicitation, process documentation, stakeholder facilitation, SQL, database, and data warehouse experience.

Leads enterprise data architecture strategy, roadmap, and implementation across data models, pipelines, lakes, warehouses, and business intelligence. Establishes governance, quality, security, and compliance standards; evaluates emerging technologies; collaborates with business and IT stakeholders; mentors data professionals; resolves complex data challenges; and maintains architecture documentation.

Coordinates and manages survey research projects, including questionnaires, methodologies, timelines, budgets, and project documentation. Develops client and industry knowledge, analyzes and interprets research results, and contributes to reports, presentations, and data visualizations. Collaborates across departments and supports clients in the public sector and health industries. Requires research experience, quantitative analysis skills, strong communication, attention to detail, teamwork, and proficiency with Microsoft Office.