Top Senior Data & Analytics Jobs

Designs, builds, and supports scalable data warehouse solutions, including pipelines, data models, transformations, governance, metadata, and documentation. Leads data requirements analysis, migration and modernization efforts, source-to-target mapping, DDL and SCD modeling, troubleshooting, and root-cause analysis. Collaborates with engineering, business analysis, quality engineering, and reporting teams to deliver maintainable data solutions across Oracle and Hadoop platforms.

Lead the strategy and governance for GTM analytics across pre-sales, post-sales, solutions engineering, forward-deployed engineering, and professional services. Establish trusted source-of-truth metrics, data models, semantic layers, self-service analytics, and AI-assisted querying. Partner with Data, Finance, Sales, and Services leaders to resolve metric definitions, improve data access, consolidate reporting, and guide cross-functional programs without direct authority.

Drive data strategy and governance for Revenue Operations by building scalable customer and firmographic data infrastructure, improving data quality, implementing AI-powered automation, and establishing governance frameworks. Partner with Sales, IT, Data, Intelligence, Analytics, and CRM stakeholders to optimize Salesforce and external data integrations, develop playbooks, manage data ownership, resolve issues, and lead change management across complex initiatives.

Build and optimize enterprise data warehouses, data lakes, and scalable batch and streaming pipelines. Support Snowflake and Databricks ecosystems, resolve ETL/ELT bottlenecks, automate workflows with Airflow and Control-M, and manage AWS-based infrastructure. Develop production-grade Python, SQL, and shell solutions while applying DevOps, CI/CD, IaC, and data modeling practices. Lead incident management, root cause analysis, operational metrics, and Agile collaboration with data and platform teams.

Supports Customer Analytics initiatives by identifying opportunities for data, automation, and AI solutions; translating business needs into requirements; developing and testing prototypes; coordinating implementation; measuring impact; and improving scalable self-service capabilities. Partners with business, analytics, data, and technology teams while managing stakeholders, data integrity, security, controls, and regulatory requirements.

Design, build, and operate batch, streaming, and hybrid data pipelines in a regulated healthcare environment. Develop dbt models in BigQuery, ingest structured and unstructured clinical data, and implement data quality, lineage, governance, and compliance controls. Support ML workflows, CI/CD, monitoring, incident response, and platform architecture. Collaborate with data scientists, clinical, quality, security, and product teams while mentoring engineers and establishing standards.

Own Eve’s go-to-market data models and semantic layer for governed metrics including pipeline, conversion, CAC, win rate, ARR, and bookings. Establish certification frameworks, modeling standards, documentation, alerting, and analytical application patterns across the organization. Partner with Sales, Marketing, Customer Success, and RevOps stakeholders, resolve conflicting metric definitions, enable AI-grounded data tools, review contributions, and mentor analytics engineers.

Build and own end-to-end data products, including pipelines, transformations, semantic models, dashboards, metrics, and AI-enabled workflows. Partner with business and technical stakeholders to turn ambiguous questions into trusted, maintainable solutions. Establish data quality testing, documentation, monitoring, and governance while improving architecture and automation. Use Snowflake, dbt, Power BI, and related technologies to support analytics across Marketing, Product, Finance, and Engineering.

Analyze clinical call recordings, transcripts, and interaction data to identify trends, root causes, quality issues, and customer experience improvements. Gather and document business requirements, create process flows and specifications, conduct gap analyses, develop reports and dashboards, and present recommendations. Partner with clinical, operations, quality, and technology teams to improve workflows, call quality, customer satisfaction, and operational outcomes.

Leads complex quantitative research, advanced statistical analysis, evaluations, and decision-support initiatives for healthcare strategy and operations. Integrates administrative, clinical, survey, and external data; applies methods including Bayesian inference, machine learning, quasi-experimental design, and longitudinal modeling. Translates findings into executive recommendations, establishes reproducible analytical practices, reviews analytical work, leads cross-functional workstreams, and mentors analysts and data scientists.

Analyzes and manages Medicare Advantage eligibility, utilization, and benefit data. The role validates data accuracy, supports vendor data exchanges, troubleshoots production issues, performs SQL-based ad hoc analysis, and ensures compliance with CMS and organizational standards. It collaborates with product owners, vendors, IT teams, and business stakeholders to design scalable data solutions, communicate findings, manage requirements, and drive projects to completion.

Leads paid media analytics initiatives, including media mix modeling, experimentation, attribution, forecasting, and scenario planning. Owns data workflows using SQL, Python, and Databricks; translates findings into recommendations for marketing and senior leaders. Partners cross-functionally to define metrics, communicate analytical insights, automate reporting with AI and GenAI, and optimize media investments against business outcomes.

Leads business performance analysis for Expedia Lodging and Portfolio brands, evaluating site metrics across brands, geographies, channels, platforms, and business lines. Sets and reforecasts performance targets with Finance and business leaders, monitors results, optimizes spend allocation, identifies performance drivers, and communicates insights to senior stakeholders. Builds trusted partnerships across Finance, Marketing, Analytics, Product, Technology, and Supply teams.

Own business performance analysis for Expedia Lodging and Portfolio, tracking key metrics, setting and reforecasting targets, optimizing spend allocation, identifying performance drivers, and communicating insights to senior stakeholders. Partner with Finance, Marketing, Analytics, Product, Technology, and Supply teams to guide strategic business decisions.