Top Senior Data & Analytics Jobs

Own growth marketing analytics across acquisition channels, including attribution modeling, incrementality testing, performance dashboards, automated insights, and predictive modeling. Partner with marketing leadership to translate channel data into budget and investment recommendations, uncover growth opportunities, and improve decision-making. Build scalable measurement frameworks and become the subject matter expert for growth data across the organization.

Coordinates AI and data governance across Innovation, IT, Security, Privacy, Legal, and business teams. Leads information governance assessments, evidence collection, remediation tracking, policy updates, data lifecycle standards, stewardship, privacy, retention, access, and DLP requirements. Maintains AI inventory and governance records, translates requirements into platform workflows, reports risks and progress, manages staff, and supports responsible AI adoption and compliance reviews.

Analyzes and processes large-scale assessment datasets, maintains psychometric software and statistical code, troubleshoots programs, develops quality controls, coordinates data transfers, supports standard-setting studies, and communicates results. The role also improves workflows, mentors colleagues, supports project planning, and collaborates with psychometricians and technical teams.

Build and maintain scalable, fault-tolerant data pipelines, warehouses, and analytics solutions. Transform complex structured and semi-structured data, automate delivery processes, improve data quality and reliability, and support enterprise data strategies. Collaborate with analysts, data scientists, actuaries, and business teams to translate requirements into solutions. Research new technologies, troubleshoot issues, maintain version-controlled code, and mentor data engineering team members.

Analyze marketing and digital marketing performance across social, web, app, and email channels. Develop segmentation, attribution, funnel, conversion, retention, KPI, dashboard, and competitive analyses. Design A/B and multivariate experiments, identify data issues, and translate statistical findings into actionable recommendations for stakeholders and senior leaders. Collaborate with technical teams to improve data reliability and support consumer acquisition, retention, and product performance.

Designs, develops, and optimizes sales reporting, data models, pipelines, and dashboards (Power BI, SQL, Excel). Leads Oracle ERP reporting initiatives, data governance, automation, and cross-functional analytics to deliver actionable commercial insights and mentor analysts.

Leads a team of data engineers and owns Oxford’s Azure and Microsoft Fabric data platform strategy. Responsibilities include building and consolidating Fabric capabilities, developing and optimizing T-SQL and stored procedure-based ETL, orchestrating pipelines, managing reliability and performance, implementing data quality and CI/CD standards, and partnering with technical and business stakeholders to deliver governed, scalable data products.

Designs, builds, and operates scalable cloud data platforms across Azure, Microsoft Fabric, and AWS. Develops Python ETL/ELT pipelines, containerized Azure Container Apps Jobs, data warehouses, dimensional models, and integrations between on-premises and cloud systems. Responsibilities include infrastructure as code, CI/CD, monitoring, security, cost optimization, documentation, stakeholder collaboration, and mentoring junior engineers.

Designs and maintains scalable data models, semantic layers, ETL/ELT workflows, data-quality frameworks, and governed analytics products for commercial operations. Owns data solutions from requirements through deployment, monitoring, documentation, and support. Partners with technical and business stakeholders to deliver trusted reporting, dashboards, scorecards, productivity measurements, and AI-enabled decision support.

Designs, develops, and maintains research and operational databases, data models, ETL workflows, dashboards, data collection tools, and research websites. Administers secure applications and storage servers, manages permissions and data access under VA security requirements, performs data quality assurance, installs statistical applications, and supports and trains end users. The role also coordinates data governance, documentation, integration, modeling, and analysis across UCSF, VA, and research partners.