Top Data & Analytics Jobs

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.

As a Senior Data Engineer I, you will build data capabilities for product expansion, integrate external APIs, design robust data pipelines, and collaborate with various teams to enhance systems and practices.

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.

Lead end-to-end encounter data management for CMS/state Medicaid submissions. Validate and optimize ETL converting source data into HIPAA X12 837P, support regulatory audits, analyze trends and root causes, liaise across business/technical/operations teams, and recommend process improvements to ensure compliance and data integrity.