Top Senior Data & Analytics Jobs

Designs and maintains cloud-based data ingestion, discovery, and consumption pipelines across APIs, files, CDC, and streaming sources. Owns data-source onboarding, modeling, quality, privacy, lineage, testing, orchestration, monitoring, documentation, and production troubleshooting. Collaborates with product owners, engineering leads, and data stewards to build secure, governed Lakehouse data products. Applies software engineering, AI-assisted development, CI/CD, DevOps, and infrastructure-as-code practices.

Leads complex business and data analysis across multiple sources to identify insights, risks, and opportunities. Partners with stakeholders to define business needs, improve processes, develop reports and dashboards, and recommend solutions. Coordinates project workstreams, monitors outcomes, supports change initiatives, and communicates findings to management. Ensures accurate, timely, well-documented deliverables aligned with business priorities, policies, and regulatory requirements.

Leads the architecture, development, and maintenance of scalable batch and real-time data pipelines, cloud data platforms, ETL/ELT workflows, and ML data infrastructure. Establishes standards for data quality, observability, lineage, governance, security, and modeling. Partners with data scientists, engineers, DevOps, and business stakeholders; evaluates technologies, drives technical initiatives, mentors engineers, and supports production-grade APIs and machine learning pipelines.

Bridges procurement stakeholders, governance teams, business analysts, and engineers to define data contracts, map procurement data to OCDS, and build Databricks pipelines. Responsibilities include requirements gathering, source-to-target mapping, data modeling, validation, quality controls, lineage, governance, and production support. Develops Bronze, Silver, and Gold data layers using Spark, PySpark, Python, SQL, Delta Lake, and Databricks services while supporting Agile delivery, testing, deployment, and troubleshooting.

Leads multiple analytical workstreams, mentors analysts, and ensures high-quality delivery of SQL queries, Excel models, and analytical frameworks. Interprets financial statements, identifies commercial and operational opportunities, manages client and stakeholder relationships, and translates ambiguous business problems into actionable insights. The role also drives governance, process improvements, risk mitigation, documentation, and standardized KPI development while overseeing project execution and team workloads.

The Data Governance Analyst administers data governance platforms and processes, including enterprise data catalogs, Databricks Unity Catalog, metadata, lineage, data stewardship, MDM, privacy compliance, and data quality initiatives. The role leads catalog roadmaps, supports Osano, coordinates with data owners and engineering teams, monitors governance adoption and metrics, and develops scalable governance standards and procedures.

Leads the full digital experience research lifecycle, including user interviews, testing, surveys, behavioral analysis, experimentation, and conversion optimization. Defines research and web measurement strategies, analyzes qualitative and quantitative data, builds dashboards and executive presentations, and translates findings into compelling data stories. Partners with marketing, technology, design, product, and development teams to improve global web experiences, while maintaining scalable research documentation and insight repositories.

Leads business and systems analysis for complex mortgage lifecycle initiatives, translating stakeholder needs into business, functional, data, API, integration, and nonfunctional requirements. Develops process and system models, user stories, acceptance criteria, and testing strategies; supports Agile delivery, releases, defect resolution, and post-production validation. Partners with Product, Engineering, QA, and business teams to manage dependencies, risks, and impacts across web, mobile, legacy, and integrated systems. Mentors Business Analysts and improves analysis standards and practices.

Build and lead Surescripts’ commercial analytics function, including governed Salesforce and CRM data models, KPI definitions, dashboards, forecasting, pipeline analytics, customer journey insights, automated reporting, quota modeling, and territory planning. Manage an analyst and partner with Sales, Marketing, Finance, Data, and Business Applications. Present actionable recommendations to senior leaders while improving data quality and enabling self-service analytics.

Leads healthcare data analysis, reporting, dashboard development, forecasting, and data-quality processes. Analyzes claims, utilization, cost, pharmacy, and financial data to identify trends and support cost-containment and business decisions. Develops SQL database objects, translates stakeholder requirements, supports regulatory reporting, improves analytics workflows, and manages projects. Provides mentoring, peer review, documentation, and cross-functional guidance.