Top Hybrid Data & Analytics Jobs

Lead the development of the enterprise data strategy, ensuring governance and quality while partnering with key business leaders to improve analytics and customer outcomes.

As a Staff Solutions Architect, you'll guide customers on architectural decisions, mentor teams, and influence product strategy for data lakehouses.

Lead cross-functional analyses to uncover trends and opportunities, build analytic frameworks, create and optimize BI dashboards, measure initiative impact via KPIs, and promote a data-driven culture across growth, merchandising, product, finance, wholesale, and operations.

As a Quantitative Researcher, you'll create and improve trading models while collaborating with senior researchers and conducting your own research.

The Sr. Data Engineer will build and manage data pipelines for large datasets, collaborate with teams, and leverage cloud technologies for data processing.

Join KBRA's ABS team as a credit analyst to conduct transaction analysis, prepare reports, assist in ratings, and engage with clients. Requires strong analytical and Excel skills, with a focus on commercial ABS asset classes.

Leads a multidisciplinary team of marketing analysts and researchers, combining marketing analytics, market research, advanced analytics, and performance insights. Oversees data infrastructure, SQL development, pipelines, APIs, ELT/ETL tools, Snowflake, and Tableau dashboards. Guides predictive modeling, segmentation, research methodology, AI experimentation, data governance, and client presentations. Develops team capabilities, workflows, and standards while translating complex data into actionable marketing and business recommendations.

Develop and maintain Power BI dashboards, reports, scorecards, data models, and analytical solutions for healthcare revenue cycle operations. Gather requirements, write and optimize SQL, validate data, resolve discrepancies, and deliver actionable financial and operational insights. Collaborate with leadership, technical teams, internal stakeholders, and clients while managing reporting projects, UAT, enhancements, automation, benchmarking, reimbursement analysis, and trend analysis.

Leads data engineering, cloud architecture, scientific software, and AI-enabled research platforms. Builds LLM, RAG, knowledge-search, and agentic workflows; integrates scientific systems; develops bioinformatics, genomics, clinical, and machine-learning data pipelines; and strengthens data quality, governance, lineage, security, observability, and reliability. Provides technical leadership across architecture, roadmaps, engineering practices, mentoring, and cross-functional collaboration.

Build and maintain scalable production data pipelines, infrastructure, warehouse models, analytics platforms, and data-quality systems. Partner with software engineers to instrument product features and ensure reliable event data. Support Hex and Snowflake self-serve analytics, maintain business metrics and data logic, and develop monitoring, validation, alerting, and observability tooling. The role also collaborates with product, analytics, marketing, and engineering teams, with potential future exposure to recommendation and LLM-based product work.