Top Senior Data & Analytics Jobs

Build and operate a Kubernetes-based data platform spanning lakehouse storage, ingestion, transformation, entity resolution, lineage, and data quality. Develop batch and streaming pipelines across heterogeneous and disconnected environments, create full-stack tools for subject matter experts, and expose documented APIs for applications and AI agents. Collaborate with product, AI/ML, infrastructure, mission partners, and field teams while mentoring engineers and supporting secure, air-gapped deployments.

Analyze consumer and audience data to support sales pitches, customer business reviews, and market content. Build actionable audiences and personas, conduct SQL, Excel, and BI analyses, identify consumer trends, and translate findings into recommendations, articles, reports, charts, and presentations. Serve as a platform expert by training internal teams, sharing insights with Product, and helping customers expand their use of Covariance’s data and AI-powered intelligence platform.

Design and operate scalable data pipelines, transformation workflows, layered data models, and production data infrastructure supporting analytics, experimentation, and AI/ML. Implement monitoring, data quality, observability, and incident response processes; modernize legacy systems; collaborate with product, analytics, and engineering teams; and mentor engineers through reviews and architectural discussions.

Design, build, optimize, and operate enterprise cloud data platforms and Databricks ETL/ELT pipelines. Develop batch and streaming pipelines, data models, infrastructure-as-code solutions, BI dashboards, monitoring, and scalable ML models. Ensure platform reliability, governance, security, and compliance while collaborating with software, systems, product, and business teams.

The Data Analytics Manager analyzes healthcare data, develops statistical models and data pipelines, evaluates data quality, and creates reports and visualizations for internal and external stakeholders. The role guides Data Analysts, maintains code using Git, translates business needs into analytical specifications, improves data processes, and communicates actionable insights to support episode pricing, value-based care, and business decisions.

Leads enterprise business intelligence and reporting strategy, architecture, governance, and delivery. Owns Power BI dashboards, semantic models, DAX and Power Query development, data integration, KPI governance, reporting quality, and legacy-reporting modernization. Advises executives, partners across technical and business functions, oversees analysts and vendors, and aligns reporting with enterprise data strategy. Evaluates AI-assisted analytics and ensures secure, scalable, well-documented reporting solutions.

Staff Data Analyst leading complex, cross-functional analytics initiatives and executive-level decision support. Responsibilities include defining metrics, building scalable data models and infrastructure with dbt, ensuring data quality and governance, developing analytical roadmaps, mentoring analysts, improving data literacy, and advising Sales, Marketing, Finance, and Operations stakeholders.

Owns the end-to-end data platform, including Snowflake infrastructure, ingestion pipelines, Airflow orchestration, dbt transformations, governed gold-layer models, and metric definitions. Ensures reliability, performance, testing, documentation, governance, and CI/CD standards. Builds data systems from scratch, partners with analytics stakeholders, and uses AI-assisted development tools to accelerate engineering work. Requires strong SQL, platform ownership, software engineering practices, and experience with Snowflake, Airflow, and dbt.

Leads the design and development of enterprise data engineering and business intelligence solutions using medallion architecture, domain-driven design, advanced data modeling, Power BI, SQL, DAX, Power Query M, and Spark Python. Builds scalable ETL/ELT pipelines, star and snowflake schemas, dashboards, and analytics solutions. Collaborates with stakeholders to define KPIs, translates complex data into actionable insights, drives innovation, and mentors team members.

Provides strategic leadership for enterprise data architecture, governance, and platform modernization. Designs secure Microsoft Fabric solutions, data models, pipelines, semantic layers, and analytics platforms. Leads migration initiatives, data integration, performance tuning, cost optimization, and adherence to governance and security standards. Collaborates with business analysts, engineers, executives, and stakeholders while mentoring technical teams and contributing to architectural standards.