Top Senior Data & Analytics Jobs

The Sr. Manager, Analytics leads the design and implementation of data solutions, enhances data architecture, and drives advanced analytics to support business strategy and stakeholder engagement.

Lead data platform strategy and architecture, scale Spark-based ETL/ELT pipelines, improve reliability and cost efficiency in an AWS environment, strengthen governance and lineage, modernize ingestion (Fivetran), and mentor engineers while delivering production-grade data solutions for analytics and AI.

Lead and oversee end-to-end polling operations: design and program surveys, construct samples, compute weights, analyze results, produce toplines/crosstabs, coordinate with data science, manage and mentor polling staff, and improve polling processes and vendor relationships to deliver client insights.

The Sr. Manager/AD, Statistical Programmer will lead statistical programming for clinical studies, manage CROs, and ensure successful data analysis for regulatory submissions. Responsibilities include overseeing dataset creation, collaborating with clinical teams, and mentoring programming staff.

Manage and grow the Marketing Analytics team to deliver measurement, forecasting, and attribution analyses. Partner with marketing stakeholders, synthesize findings into clear narratives for leaders, set analytics roadmap, and evangelize AI productivity tools to improve workflows and automation.

Manage and mentor a team of data scientists and engineers, guide development and delivery of ML/AI solutions, ensure best practices, collaborate with stakeholders, and align data science work with business objectives.

Design, build, and maintain production data pipelines and the unified data model using Snowflake, dbt, and orchestration tools. Optimize, test, document, and monitor ELT workflows, enforce engineering best practices, mentor teammates, and deliver trustworthy data products for analytics and business decisions.

Build and maintain Tableau dashboards and data products by extracting and validating data (SQL/Redshift), translating business requirements, supporting stakeholders, documenting/reporting, and mentoring junior analysts to drive data-informed decisions.

Lead design and delivery of enterprise people analytics solutions, partner with HR and data teams to produce dashboards, predictive analytics, and executive insights that drive workforce planning, talent decisions, data governance, and organizational health across a global matrixed organization.

Partner with Product leadership to build scalable Snowflake data models, run behavioral and funnel analyses, design A/B tests and predictive models, and translate insights to influence roadmap and product strategy.