Top Hybrid Data & Analytics Jobs

Responsible for transforming sales data into strategic narratives, providing insights for executive decision-making, and leading a team of analysts.

As a Power Markets Analyst, you will develop methodologies for market-informed studies, manage market data infrastructure, configure production cost models, and connect transmission planning to market outcomes while collaborating with product and engineering teams.

The Data Analytics Intern will assist with analytics tools, data preparation, SQL queries, and cross-functional collaboration to support EV Realty's projects.

Lead a distributed reporting team to deliver BI solutions, run Agile ceremonies, partner with data engineering and stakeholders, design dashboards (Tableau/SSRS/AWS), implement ETL (SSIS), write Snowflake SQL, champion AI-assisted development, maintain production reporting SLAs, and ensure operational readiness, governance, and continuity for recurring regulatory and business reports.

Build and maintain dbt models and SQL transformations to create analytics-ready datasets, implement tests and documentation, and govern metric definitions. Design Power BI reports and dashboards, improve self-service analytics, maintain CI/CD for dbt deployments, and collaborate with data engineering and business stakeholders to ensure data quality, lineage, and scalable architecture.

Lead enterprise data architecture and governance, design data integration and warehouse solutions, establish standards for modeling/metadata/security, evaluate emerging technologies, collaborate with stakeholders, mentor staff, and ensure scalable, high-performance analytical environments.

Lead the definition and governance of enterprise data architecture and integration strategies. Design and optimize data warehouses, databases, and analytical environments; establish data modeling, metadata, and governance standards. Collaborate with stakeholders to enable data-driven decisions, evaluate emerging data technologies, and provide thought leadership and mentorship across teams.

Lead and govern enterprise data architecture, including conceptual/logical/physical models, data integration, and optimization of databases and warehouses. Establish standards for data modeling, metadata, governance, quality, security, and compliance. Advise stakeholders, evaluate emerging technologies, document architecture, and mentor staff while supporting strategic initiatives.

Perform advanced workforce and talent analyses, build self-service BI products and dashboards, generate and present insights to Talent and Executive leadership, collaborate with Finance and Human Capital for workforce planning, and partner with teams to identify opportunities for deeper analytics and process automation.

Research and profile cryptoasset service providers (VASPs, custodians, exchanges) using on-chain and off-chain data. Apply AML concepts to assess risk, document findings to power entity screening and risk detection, collaborate with the Intelligence team, and help design/maintain automated pipelines and coverage processes.