Top Data & Analytics Jobs

Build and maintain ETL pipelines using Python and SQL, integrate and transform data from diverse sources, implement quality checks and monitoring, optimize data structures for scalability, and provide Palantir technical guidance to support analytic teams and mission-driven intelligence workflows.

Lead design and implementation of a modern enterprise data warehouse and unified data architecture. Build and mentor a high-performing data team, enable self-service analytics, ensure data governance and quality, and support AI/ML and NLP initiatives while partnering cross-functionally to deliver data initiatives on time and within budget.

Lead strategy, governance, implementation, and support for Workday and enterprise applications. Oversee Workday Student, integrations, reporting, analytics, data governance, and vendor relationships. Drive analytics strategy, dashboards, data quality, integrations, team leadership, budgeting, and cross-functional collaboration to improve student, faculty, and administrative processes.

Design, build, test, and maintain ETL/ELT data integration pipelines and data architecture. Perform data mapping, profiling, quality remediation, and support BI/analytics by partnering with business and technical teams. Provide full lifecycle support, documentation, and continuous improvement in a hybrid agile environment.

Design, build, and maintain data pipelines and analytics-ready datasets using SQL and cloud data platforms. Perform data profiling, validation, and source-to-target mapping. Support BI enablement, document transformations, and collaborate with stakeholders while following data governance and security practices.

As a Media Data Analyst, you will analyze media data, create dashboards, provide insights for strategic decisions, and collaborate with various teams to enhance performance.

Lead FFIO data governance and strategy: implement data catalog, maintain taxonomy and business glossaries, improve BI/reporting (OBIEE, Power BI), enable access controls, deliver training, and drive data quality and scalable reporting solutions.

Design, build, and maintain scalable ETL pipelines and data models for a multi-terabyte investment data platform. Optimize database performance, support production systems (on-call), and apply DevOps and Agile practices to deliver high-quality data engineering solutions for asset management use cases.

Lead analytics for Fidelity Digital Assets: create and summarize large datasets, perform deep statistical analysis, build dashboards and reports, query big-data platforms, and deliver insights to inform product and operational decisions while collaborating across teams.

Design, build, and support BI and analytics solutions. Partner with stakeholders to translate requirements into reports, dashboards, and data models, validate data quality, troubleshoot pipelines, and perform ad hoc analyses to enable data-driven decisions.

Lead complex financial and product usage analyses for a large hospital system. Create datasets, perform ad-hoc analyses, identify savings opportunities, interpret reports, build visualizations, and communicate findings to client managers and executives. Consult on requirements, benchmark performance, and support pricing, rebates, and cost-reduction initiatives.

Design, build, and maintain large-scale data pipelines, stores, and services using big data tools. Collaborate with data scientists, product partners, and stakeholders to prepare, transform, and serve data for analytics and operational use cases while ensuring data quality, compliance, and automation of data products.

Designs, builds, and maintains data pipelines and storage to support ML/AI models and analytics. Collaborates with data scientists, software developers, and architects to prepare feature engineering, scoring pipelines, and scalable, compliant data solutions in a regulated financial environment.

Design, build, and maintain complex batch and streaming data pipelines and integrations. Collaborate with engineering and analytics teams to model data, implement data exchange systems, automate and optimize processes, support dev/test/prod environments, ensure data quality, and participate in on-call rotation.

Own and evolve Redfin's analytics data warehouse and data lake. Design dimensional data models, build and tune ETL pipelines, write performant SQL, implement data ingestion and storage solutions, deliver end-to-end features, and collaborate with Analytics and Engineering to support production data needs.

Partner with leadership to collect, analyze, and report operations and call center data. Build dashboards, KPIs, and BI tools; validate data quality; perform exploratory and statistical analysis; communicate insights to stakeholders; and support migration to Sigma for reporting and visualization.

Design, build, and optimize HANA-native data models (calculation views, CDS, AMDP, SQLScript); tune HANA performance; implement security and replication (SLT/SDI/SDA); support tiering, capacity planning, migrations, and integrations with S/4HANA, BW, Fiori, and BTP; document systems and mentor junior engineers. Participate in technical assessments and collaborate with Basis, ABAP, and analytics teams.

Design, build, and optimize HANA-native data models (calculation views, CDS, AMDP, SQLScript); tune HANA performance; implement security and replication; support HANA-native applications consumed by Fiori, BW, and BTP; lead capacity planning, documentation, and mentor junior engineers.

Lead design and delivery of an enterprise data platform covering ingestion, storage, processing, governance, and consumption. Define architecture, standards, security, and DR/HA strategies; integrate catalogs and lineage; optimize cost and capacity; mentor engineers; and produce architecture artifacts aligning platform capabilities with ML, BI, and product needs.