Top Hybrid Data & Analytics Jobs

The Senior Data Analyst will lead data migration, define data strategies, ensure data quality, and manage junior analysts while interfacing with senior stakeholders.

The Senior Data Analyst leads data migration and transformation projects, defines data strategies, ensures data quality, and manages junior analysts while interfacing with senior stakeholders.

Prepare and update reports and dashboards, analyze trends and KPIs, perform root-cause analysis, create reporting specifications, communicate insights to peers and mid-level management, and collaborate on team projects to support business decisions.

Perform market and competitive analysis for lending by aggregating internal and external data, building dashboards and BI solutions, producing executive-ready presentations, and delivering data-driven recommendations to leadership to inform strategy and operations.

Design, build, deploy and support high-performance cloud data pipelines and data lakes. Collaborate with business, IT, analytics and data science teams to gather requirements, ensure data quality and lineage, optimize query and pipeline performance, document designs, and troubleshoot operational issues.

Analyze clients' businesses to identify opportunities and risks, develop insights and recommendations, manage commercial client relationships, maintain account administration, and train clients on NielsenIQ methodologies. Provide presentations and strategic advice to ensure customer satisfaction.

Deliver geospatial solutions including data management, spatial analysis, cartography, web app publishing, and automation. Collaborate with project teams, estimate effort, engage clients, and support asset management and GIS system integrations.

Deliver geospatial data management, spatial analysis, cartography, and GIS solutions using Esri tools and scripting. Support asset management, publish web apps/services, automate workflows with Python/ArcPy, and collaborate with project teams and clients.

Support process documentation, create checklists and PoMS, analyze Excel datasets and convert to macro-enabled automated solutions, perform data analysis and reporting with Excel/Power BI, and prepare presentations and insights for stakeholders.

Lead BI and Analytics Solution Engineer partners with stakeholders to design, build, and govern BI solutions. Responsibilities include data and dimensional modeling, Snowflake development, advanced SQL, data prep and CI/CD, creating visualizations (Power BI/Tableau), deriving insights, mentoring engineers, and overseeing BI best practices and metric governance.

Lead a team owning master data governance for customers, products, and suppliers across SAP S/4HANA and integrated systems. Establish data standards, policies, and workflows; drive cross-functional initiatives, oversee ticketing and SLAs, perform root-cause analysis, and support PLM/IBP integrations while coaching and developing staff.

Design and build Cape's privacy-first data platform, including warehouse, pipelines, and orchestration. Implement privacy-preserving data practices, enable self-serve analytics, build dashboards and metrics, and establish data engineering standards, testing, and documentation while collaborating across engineering, product, and business stakeholders.

Design, build, and maintain batch and real-time ETL pipelines and data lake architecture using AWS services, Python, PySpark, and SQL. Ensure data quality, governance, and compliance; support reporting and ML models; mentor junior engineers and document data products.