Top Data & Analytics Jobs

Own marketing funnel analytics from end to end by monitoring metrics, diagnosing performance drivers with SQL and Python, building Snowflake/dbt models, and maintaining Periscope dashboards. Translate findings into actionable recommendations for leadership, partner with Marketing, Risk, and Engineering on strategy and release impact analysis, and use AI tools while validating their output. Support team development through knowledge sharing, code review, and mentoring junior analysts.

Conduct healthcare product analysis, build dashboards and recurring reports, monitor KPIs, support A/B testing, validate data, and identify trends affecting member engagement and health outcomes. Partner with product, engineering, design, data science, and marketing teams to deliver actionable insights, improve data quality, and support healthcare product strategy. The role also contributes to documentation, segmentation analysis, and repeatable analytics processes.

Participate in business and operations rotations, analyzing data and problems, developing recommendations, improving processes with AI and automation, collaborating cross-functionally, and presenting project outcomes to leadership. The program is designed for recent graduates who can adapt quickly, take ownership, and contribute to real-world projects while developing technical, business, and leadership skills.

Research Analyst Intern supporting global alliance initiatives through strategic research, partnership analysis, data-driven recommendations, and stakeholder presentations. The role involves identifying business challenges, proposing solutions, tracking projects, preparing reports, and collaborating with international teams and executives using tools such as Wrike, Salesforce, Microsoft Forms, and PowerPoint.

Data Engineering Interns will define metrics, instrument logging, ingest and model data, transform datasets, ensure data quality and governance, and support visualization, reporting, alerting, and scalable systems. They will partner with product, analytics, and data consumers to improve product engagement, efficiency, costs, and strategic decision-making. The 12-week, full-time internship includes technical training, mentorship, and hands-on project experience.

Drive data strategy and governance for Revenue Operations by building scalable customer and firmographic data infrastructure, improving data quality, implementing AI-powered automation, and establishing governance frameworks. Partner with Sales, IT, Data, Intelligence, Analytics, and CRM stakeholders to optimize Salesforce and external data integrations, develop playbooks, manage data ownership, resolve issues, and lead change management across complex initiatives.

Manage and improve outbound and inbound dialer operations for personal loans, credit cards, and loan origination outreach. Monitor campaigns, agent productivity, dialer performance, and operational KPIs. Analyze data and build dashboards to recommend efficiency improvements. Ensure compliance with FDCPA, Reg F, TCPA, and state laws, maintain business controls, support remediation, and collaborate with IT, Telephony, Risk, auditors, and business stakeholders.

Own the architecture and standards of the company’s dbt project, building scalable models across staging, intermediate, and mart layers. Partner with product, design, and engineering teams to evolve data models, validate metrics, and maintain data quality. Develop AI-assisted testing, documentation, and access workflows; collaborate on Segment, Fivetran, and Airflow pipelines; and drive privacy, governance, and warehouse best practices.

Lead data analysis and modeling for Growth and Monetization, focusing on sales trials, product-led sales, pricing, packaging, and monetization. Partner cross-functionally to generate actionable insights, maintain dbt models and ELT pipelines, improve data workflows, evaluate emerging tools, and enable colleagues to use Hex effectively. The role requires strong analytical judgment, SQL and dbt expertise, and an interest in applying AI to data work.

Designs, builds, and operates a scalable data platform supporting entity resolution, knowledge graphs, real-time risk assessment, APIs, and batch or streaming pipelines. Owns data reliability, performance, observability, governance, and platform SLAs. Collaborates with data science, analytics, product, and engineering teams while implementing cloud-native infrastructure, automation, CI/CD, and self-service data capabilities.