Top Data & Analytics Jobs

The role involves developing Power BI reports, building analysis models, transforming data, and applying security in reports. Strong communication and analytical skills are essential.

The internship offers military service members civilian work experience in data science through data analysis and related skillsets over 90-180 days.

The role involves designing and scaling data infrastructures for private equity, developing ETL/ELT pipelines, ensuring data quality, and collaborating with various teams on data governance.

The Data Governance Lead will implement data governance policies, ensure data quality, promote stewardship practices, and manage data governance councils.

The Jr. Database Developer & Business Analyst will design database solutions, maintain data integrity, and translate business needs into analytics, while collaborating with teams on reporting and process improvements.

Build the companys compute intelligence platform: stand up a data warehouse, ingest compute telemetry, billing, partner and CRM data, model it (dbt), build pipelines (Python/SQL), dashboards, and an AI-accessible query layer. Enable cross-functional teams to track supply, demand, utilization, capacity planning, and bottlenecks while ensuring reliable, documented, production-grade data infrastructure.

Perform business intelligence and market analysis for CRM initiatives: collect and synthesize BI data, identify trends, maintain BI tools and dashboards, generate reports for stakeholders, and disseminate insights to support strategy and product development.

As the first Data Scientist at Hang, you will analyze data to drive insights, develop predictive models, collaborate with teams, visualize data, and contribute to data strategies.

The Business Analyst will analyze financial data, create business requirements, and contribute to various projects within the team, requiring strong data warehouse and banking experience.

The Senior Data Scientist will solve complex problems, mentor junior team members, conduct analyses, build models, and collaborate with various business units to enhance data science capabilities and strategies.