Top Data & Analytics Jobs

Design, build, and optimize scalable data pipelines and platforms (Snowflake, Databricks, Spark). Ensure data quality, lineage, and observability. Mentor junior engineers, lead cross-team initiatives, implement CI/CD, and improve internal data engineering tools and architectures.

Design, build, and optimize scalable data pipelines and structures for analytics and downstream applications. Implement SQL-based transformations, ingestion frameworks, and validation checks across cloud platforms (Snowflake, Databricks). Ensure data quality, lineage, governance, and operational reliability. Collaborate with stakeholders, mentor junior engineers, and improve internal data engineering tools, automation, and CI/CD processes.

Lead enterprise data modeling, governance, and data product efforts to ensure trusted analytics. Translate business requirements into scalable data models, implement data lake/lakehouse solutions, manage data discovery/profiling, define lineage and business rules, and lead UAT. Partner with engineering and operations teams to implement governance, maintain data quality, and document lifecycles. Support stakeholder communication, estimate project timelines, and work variable schedules including nights and weekends.

Analyze sales technology systems and user needs across CRM platforms, document functional/technical requirements, support vendor and invoice management, ensure data quality, build reporting and dashboards (Excel, Power BI), coordinate security reviews, and support implementation and project tracking for sales applications.

Manage production operations for the Enterprise Decision Engine: monitor alerts and performance, troubleshoot incidents, perform impact/root-cause analysis, coordinate cross-functional responses, document processes, and advise on decisioning tactics, business rules, and optimizations to improve personalization and omni-channel campaigns.

Mid-level BI analyst developing and maintaining SQL-based ETL, datasets, and Tableau dashboards across the Quote-to-Cash lifecycle. Supports data modeling, validation, reporting, performance optimization, and cross-functional stakeholder requirements for Sales, Delivery, Billing, and Usage. Performs root-cause analysis, testing, and recurring/ad-hoc reporting while building BI technical expertise.

Partner with Total Rewards stakeholders to design and execute analytics that evaluate employee wellbeing and benefits program ROI. Combine and validate data from claims, utilization, and other sources, build forecasting and advanced-analytics models, and deliver dashboards and executive summaries. Lead project workstreams, mentor junior analysts, and ensure data quality, compliance, and actionable insights to inform benefits strategy.

Lead the analysis and enhancement of Anaplan models, translating business needs into specifications and ensuring data integrity while managing strategic projects.

The Measurement Science Lead will oversee measurement methodologies, support first-party measurement pilots, analyze campaign performance, and collaborate with cross-functional teams to improve results.

Lead end-to-end digital funnel and customer journey analytics to drive revenue, lead quality, and customer experience. Partner with Marketing, Product, Sales, and Martech to define measurement strategy, enhance tracking and data integration, run experimentation (A/B and multivariate), deliver executive insights, and recommend optimizations for personalization and conversion improvements.