Top Data & Analytics Jobs

Performs complex data analysis for field operations and call centers to improve targeting, resource allocation, and ROI. Develops and validates reports, dashboards, and data models using Excel, SQL, and Power Query. Identifies trends and issues, evaluates analytical methods, and recommends practical business solutions. Supports performance measurement across operations, training, product launches, and related business functions.

Develop and maintain enterprise geospatial applications, web services, dashboards, geoprocessing tools, and automation using Python and Esri technologies. Integrate and administer geospatial systems, troubleshoot GIS applications, manage data gateways, and migrate legacy applications to AWS Cloud One. The role also requires ArcGIS administration, database experience, spatial data standards knowledge, technical communication, and support for Air Force GeoBase initiatives using Agile practices.

Designs and builds lakehouse data models, pipelines, data marts, semantic layers, and digital-twin integrations for power plant assets. Combines telemetry, financial, operational, maintenance, and reliability data using Azure and Databricks technologies. Develops visualizations and supports web-product delivery while collaborating with product managers, UX designers, software engineers, analysts, plant staff, and executives.

Leads end-to-end data and analytics architecture engagements, specializing in Microsoft Fabric platform design, implementation, modernization, migration, governance, integration, semantic models, reporting, performance, and cost optimization. Partners with clients and internal teams to translate business needs into scalable solutions, guides technical delivery, supports pre-sales pursuits, and mentors data professionals. The role is remote but requires travel four to six times annually and residence in an approved state.

Develop and maintain SAS programs for cleaning, linking, transforming, and analyzing large health insurance claims datasets. Create cohorts, analytic datasets, variables, descriptive statistics, and reports for health policy research. Collaborate with investigators, statisticians, clinicians, and senior programmers across projects involving maternal, child, and mental health. Support data quality checks, statistical analyses, meetings, manuscripts, and research reporting.

Build and maintain reusable analytical data products, canonical entities, data marts, semantic layers, and governed metrics across business domains. Establish modeling, documentation, quality, lineage, and change-management standards; improve data reliability, self-service analytics, and production governance. Partner with Data Platform, Trust, Data Science, Applied AI, and business stakeholders on orchestration, observability, access controls, feature tables, model outputs, and shared metric definitions. Remain hands-on with SQL, Python, testing, code reviews, documentation, and technical coaching.

Analyzes business and customer requirements to define metrics, measurement frameworks, and scalable Tableau dashboards. Partners with stakeholders across life sciences, healthcare, and sales organizations to deliver consistent, data-driven insights. Documents BI standards, ensures metric accuracy and security compliance, demonstrates expertise in relevant data sources, and manages dashboard requests through a Jira backlog while meeting delivery timelines.

Coordinates research and analytics initiatives supporting economic development, neighborhood planning, and downtown engagement. Responsibilities include maintaining databases, dashboards, and development maps; analyzing market, transactional, survey, and travel behavior data; supporting reporting and communications; engaging stakeholders; assisting with events; and providing administrative and cross-team support. The role requires strong data management, analytical, organizational, communication, and quality-control skills, along with proficiency in Excel and related GIS, CRM, and visualization tools.

Lead the design and delivery of scalable batch and real-time data pipelines across AWS, Snowflake, PostgreSQL, MongoDB, dbt, and Kafka. Establish standards for data modeling, governance, security, testing, observability, and reliability. Build trusted datasets and semantic layers for BI, analytics, AI/ML, RAG, and LLM applications. Drive platform optimization, data integration, MDM, technical strategy, mentoring, and cross-functional collaboration.

Own the technical infrastructure supporting Spotify’s revenue growth programs. Build and maintain dbt models, BigQuery pipelines, dashboards, reports, and LLM-enabled data workflows. Monitor pipeline health, resolve data issues with engineering and Insights teams, and translate sales needs into reliable data products that improve prioritization, outreach, and advertiser growth.