Top Data & Analytics Jobs

Own analytics for Root’s Customer Experience domain and policyholder retention. Develop metrics, analytical frameworks, experimentation systems, and strategic recommendations. Partner cross-functionally with Product, Engineering, Data Science, and Operations to shape roadmaps, evaluate customer initiatives, quantify business impact, and influence senior leadership decisions through rigorous analysis and clear communication.

Leads and manages an analytics engineering team while contributing to data transformation, modeling, quality, and delivery solutions. Establishes modeling and development standards, implements analytics engineering tools, supports client engagements, improves reporting and visualization processes, allocates team resources, mentors engineers, supports presales, and drives internal quality and process improvements.

Develops complex data mining analyses, extracts data, creates reports and queries, and supports data warehouse applications. Maintains expertise in database design, data definitions, programming languages, and data integrity. Designs database tables, develops business-area applications, and trains users on those applications.

Vets telephone numbers for ownership and Right of Use, investigates discrepancies and suspicious activity, manages verification tickets, and communicates findings to clients and internal teams. Uses SQL and Excel to analyze data, develop reports and dashboards, identify trends, and support process improvements. Participates in tool testing, documentation, requirements gathering, and workflow enhancements while mentoring interns and junior team members.

Analyzes business and operational needs, gathers requirements, evaluates data and systems, and recommends technology solutions. Develops advanced SQL queries, reports, system models, and process improvements. Responsibilities include troubleshooting, data architecture integration, software and hardware solution design, database analysis, automation using scheduling or RPA tools, and project leadership. Senior levels guide other analysts and assess technology’s business impact.

Develops marketing and business intelligence insights for senior leaders across Marketing, Sales, Developer, Finance, and Product. Responsibilities include analyzing campaigns, funnels, pipeline, revenue attribution, and experiments; building dashboards, data models, executive presentations, and AI-assisted analytical workflows; applying statistical judgment; and influencing strategic decisions through actionable recommendations and measurable outcomes.

Design and implement enterprise data architectures supporting batch and real-time analytics, ETL/ELT, data warehouses, streaming pipelines, CDC, and cloud data platforms. Build AI-ready data infrastructure for RAG, vector search, and Generative AI applications. The role requires production experience with Treasure Data/CDP, Kafka, Snowflake or Databricks, cloud services, and modern AI data engineering technologies.

Analyze datasets, build and maintain business intelligence tools, and create automated exception reports that improve data integrity and stakeholder access. The intern will use Excel, Python, SQL, and potentially Power BI or Tableau to extract insights, document data infrastructure, monitor data assets, resolve issues, and communicate findings. The role requires managing projects from start to finish while collaborating with stakeholders across the organization.

Analyze sales, customer, market, inventory, pricing, and demand data to produce reports, presentations, business reviews, and actionable recommendations. Support business planning, performance evaluation, competitive analysis, sales goal management, incentive administration, and strategy development. Collaborate with sales, revenue management, and demand planning leaders to identify growth opportunities, optimize product availability, and improve revenue, profitability, and market share.

College interns support workforce analytics and research by compiling, reviewing, and analyzing data; preparing management, operational, technical, and administrative reports; creating presentations and data visualizations; researching information; identifying report issues; recommending solutions; and participating in training, meetings, and departmental projects.