Top Senior Data & Analytics Jobs

Leads revenue analytics projects using Python, SQL, PySpark, Databricks, and Tableau. Analyzes KPIs, performs statistical testing, forecasting, and root-cause analysis, builds reporting and automated tools, maintains data pipelines, and communicates actionable insights to stakeholders. The role also mentors analysts and supports revenue optimization through data-driven solutions.

Analyze and optimize the end-to-end sales funnel by developing KPIs, dashboards, diagnostic analyses, and operational measurement frameworks. Partner with Sales, Operations, Data Engineering, and Data Science teams to improve conversion, revenue, capacity planning, and pipeline prioritization. Lead AI-native automation initiatives, including LLM analytics assistants, automated reporting, prompt engineering, and machine learning model validation.

Analyzes digital marketing, website, ecommerce, and paid media performance across channels including SEM, SEO, email, social, mobile, app, programmatic, and CTV. Builds Tableau or Looker dashboards, investigates customer behavior and conversion friction, develops actionable recommendations, and partners with marketing, product, UX, ecommerce, and development teams. Presents insights to technical and executive stakeholders to improve campaign effectiveness, acquisition, conversion, retention, and budget decisions.

Builds and maintains automated dashboards, reporting, KPIs, and analytical tools for transplant logistics. Mines and transforms large datasets using SQL and Python, applies statistical analysis, and delivers actionable insights to Product, Finance, Logistics, Clinical, and Technology teams. Supports logistics network design and evaluates big data technologies while translating business needs into scalable data solutions.

Senior Business Analyst responsible for defining system scope, analyzing user and business needs, documenting requirements, translating specifications into actionable solutions, and supporting client-specific functionality. The role partners with strategic client teams, serves as a subject matter expert, prioritizes requirements, maps account data workflows, and provides guidance on portfolio accounting, performance measurement, managed accounts, and fintech solutions.

Leads business intelligence, reporting, data modeling, and ITSM analytics for a federal IT operations contract. Analyzes CMDB, configuration, change, incident, SLA, cybersecurity, and compliance data; develops dashboards and predictive insights; supports audits, RMF activities, program reviews, and modernization planning. Coordinates with technical teams and government stakeholders to ensure accurate, traceable, and auditable analytics products.

The role involves managing digital application analytics to enhance customer experiences, leading A/B testing, and collaborating across teams to optimize performance and reporting.

Supports and modernizes enterprise data services, including SQL Server and cloud-based ETL/ELT, data warehouses, pipelines, data integration, dimensional modeling, and OLTP environments. Develops SSIS, Azure Data Factory, and Microsoft Fabric pipelines; troubleshoots production data and integration issues; optimizes SQL and stored procedures; documents data flows and lineage; and collaborates with technical and business teams on secure, compliant data solutions.

Leads business intelligence and analytics for institutional advancement, designing dashboards, data models, SQL transformations, predictive models, and reporting products for fundraising, donor pipelines, alumni engagement, grateful patient programs, and leadership. Partners with clinical, enterprise, and advancement teams to ensure data quality, HIPAA-compliant workflows, governance, CRM transitions, and actionable insights. Provides documentation, user training, mentoring, and executive-level analysis.

Leads enterprise database administration across SQL Server, Azure SQL, and Microsoft Fabric environments. Manages database security, performance, availability, disaster recovery, ETL platforms, scheduling, governance, audits, modernization, automation, and cloud adoption. Provides leadership to offshore DBAs, oversees vendors, drives upgrades and deployment standards, and partners with engineering, infrastructure, security, governance, and application teams to maintain reliable, compliant data platforms.