Top Data & Analytics Jobs

Design and document enterprise big-data and data warehouse architectures. Collaborate with stakeholders, perform data profiling and requirement analysis, guide Spark ingestion development, recommend cloud data service patterns (Azure/AWS), and lead data governance, stewardship and quality best practices to support analytics and ML use cases.

Manage and optimize data infrastructure through CRM integrations, SQL database administration, SFTP data transfers, reporting (SSRS, Power BI), and Dynamics configuration. Support internal users, troubleshoot integrations and applications, write scripts/stored procedures, and produce dashboards and formatted reports to enable accurate, accessible data for business decision-making.

Lead end-to-end analytical and research initiatives: frame complex problems, extract and validate large datasets, build metrics, forecasting and dashboards, present findings to senior leadership and the Board, advise cross-functional stakeholders, ensure data governance and quality, and mentor analysts to build district analytical capacity.

Produce publication-quality maps, set up fieldwork in ESRI FieldMaps, perform GIS analyses and spatial modeling, manage geodatabases and data warehousing, ensure data integrity, support deliverables, train users, research GIS technologies, and represent BKF through presentations and publications.

The Staff Data Platform Engineer will develop integrations and data pipelines across multiple enterprise systems, ensure data quality, and support executive analytics and AI capabilities.

Design, architect, and deliver scalable data pipelines and storage solutions using big data and cloud technologies. Lead technical strategy, mentor engineers, ensure data governance, security, and performance, and collaborate with Data Science and Product teams to support analytics and ML initiatives.

Design and document conceptual, logical, and physical data models (relational, dimensional, NoSQL). Support data architecture and governance, produce DDL/SQL, design Snowflake Silver/Gold analytical layers, mentor other modelers, and map healthcare sources to FHIR resources when applicable.

Technical staff-level data engineer who sets direction for ingestion, storage, and search systems. Designs scalable, reliable pipelines and storage, establishes architecture and observability standards, mentors engineers, leads complex multi-quarter initiatives, participates in on-call, and partners with AI/ML and product teams to deliver queryable, high-volume telemetry for analytics and detection.

Lead NPS, CSAT, and enterprise feedback programs; design qualitative and quantitative research; manage vendors and platforms (e.g., Medallia/Qualtrics); integrate sentiment with behavioral data; drive research project execution, synthesize insights, and influence cross-functional strategy and leadership decisions.

Own and build the support reporting layer: ticket volume, SLA, resolution times, CSAT/CES/sentiment, and capacity. Produce dashboards and analyses for leadership and engineering, maintain data quality and governance, prioritize issues using multi-signal models, and surface Voice of Customer trends to close the loop with Product and GTM.