Top Senior Data & Analytics Jobs

Leads quantitative and qualitative Medicaid policy research from project scoping through dissemination. Oversees data acquisition and analysis, monitors state and federal policy changes, develops briefs and presentations, conducts stakeholder interviews, supervises research staff, manages external collaborators, and translates findings into actionable recommendations for policymakers, providers, advocates, and the public.

Leads the Data Engineering team and sets technical direction for the company’s data platform. Owns Snowflake, PostgreSQL, pipelines, modern ELT tooling, Medallion architecture, reliability, scalability, cost optimization, data quality, observability, governance, and security. Partners across Engineering, Analytics, Product, Finance, Risk, and Marketing to deliver reusable data solutions. Develops engineers, establishes standards, communicates technical tradeoffs, and builds a long-term platform roadmap supporting analytics, automation, and AI.

Develop global engagement strategies for Crunchyroll’s streaming platform using consumer behavior, audience segmentation, experimentation, and analytics. Analyze viewing journeys, engagement barriers, churn signals, and lifecycle interventions. Build measurement frameworks, define success metrics, evaluate A/B tests, and identify strategies that strengthen viewing habits and retention. Partner with Product, Data Science, Lifecycle, Curation, and Consumer Insights teams to translate complex behavioral data into executive-level recommendations and prioritized initiatives.

Leads Customer Success analytics strategy, executive business reviews, customer experience and voice-of-customer insights, enablement impact measurement, and data foundation development. Manages two analysts, partners with data engineering and data science, applies statistical and experimental methods, analyzes structured and unstructured customer data, and uses AI tooling to improve self-service and recurring analytics. Translates ambiguous business questions into actionable recommendations for senior leaders.

Develop and improve IP geolocation automation algorithms using large datasets and IP network topology. Query, extract, and transform data with SQL, R, Python, MongoDB, and BigQuery; provide insights that improve data quality; and collaborate with engineers, data scientists, and stakeholders to solve complex problems and lead data science initiatives.

Client-facing solutions architect who designs and delivers scalable cloud, data, and AI-enabled solutions. Leads end-to-end projects, mentors teams, ensures scalable/resilient architectures, modernizes data ecosystems, drives delivery methodology, and develops business cases while collaborating globally with clients and ZS teams.

Analyzes large, complex datasets from multiple sources to support Inspector General investigations. Responsibilities include data extraction, quality validation, discrepancy resolution, statistical and narrative reporting, dashboard and BI solution development, SQL querying, application and script modification, process documentation, and presenting findings. The role requires substantial data analysis and management experience, programming knowledge, and familiarity with visualization, database, statistical, and reporting tools.

Leads enterprise competitive intelligence capabilities, including data collection, matching, scraping, governance, quality standards, analytical methodologies, and AI-enabled workflows. Partners with Product, Engineering, Data Science, Merchandising, Pricing, Digital, Marketplace, and Strategy teams to translate business needs into scalable solutions. Develops metrics, models, validation processes, and insights that support business decisions, while potentially managing and developing a small analytics team.

Lead analytics engineering efforts to design and build dbt models, maintain a semantic/metrics layer, ensure Snowflake performance, establish modeling/testing/documentation standards, partner with Data Science/Product/Engineering, and deliver native warehouse data products to customers.

Leads analytics for Chewy’s Voice of Customer organization by integrating customer, operational, survey, sentiment, and behavioral data. Builds dashboards, measurement frameworks, alerts, governance standards, and self-service analytics. Identifies customer friction, risks, root causes, and business impacts; conducts forecasting, experimentation, segmentation, and regression analyses. Develops executive-ready recommendations, partners with senior stakeholders, monitors customer-impacting events, and coaches analysts and cross-functional teams.