Top Data & Analytics Jobs

Leads Cisco’s global compliance data analytics program, managing the Compliance Analytics & Enablement team. Develops multi-year analytics and AI/ML roadmaps, builds automated compliance risk monitoring and early-warning systems, integrates enterprise data sources, and delivers actionable insights to senior executives and the board. Partners with Legal, Compliance, Audit, engineering, and business teams to support compliance-by-design, regulatory risk mitigation, and data-driven decision-making.

Ten-week business analytics internship for college students. Interns analyze business data, solve challenges, create insights, collaborate with teams, present findings, and contribute to real-world projects. The program includes mentoring, formal training, leadership interactions, and professional development in analytics, strategy, communication, coding, and storytelling.

Analyze hospital data and performance metrics supporting sales teams, leaders, and healthcare customers. Build reports, dashboards, and visualizations; prepare and validate datasets; conduct quality reviews; support customer analyses; and respond to routine data requests. The intern will help strengthen data governance, improve sales productivity, translate data into actionable insights, and communicate findings clearly while collaborating with internal stakeholders and customers.

Develop dashboards, reports, data models, metrics, and visualizations while analyzing business data. Build and maintain Python software, APIs, integrations, data pipelines, and workflow automations. Partner with business users to translate requirements into technical solutions, support testing and deployment, troubleshoot issues, document processes, and explore AI and advanced analytics opportunities.

Supports sales analytics by analyzing sales data, uncovering insights, assisting with pipeline management, building visual dashboards, and ensuring data accuracy and usability. Collaborates with cross-functional teams on projects that inform sales strategy and performance. This is a full-time, 12-week internship based at the company headquarters in Carmel, Indiana.

Conducts proactive and responsive prospect research to evaluate donor capacity, affinity, and engagement. Develops research profiles, due diligence reports, briefings, prospect lists, and analytical materials supporting fundraising and stewardship. Maintains prospect records, analyzes wealth screening and institutional data, monitors relevant developments, and advises development staff on portfolio management and cultivation strategies. Also supports research tools, documentation, training, and process improvements while handling confidential information.

Summer technology intern supporting data analytics solutions, including SQL and Python data extraction, transformation, pipelines, reports, and Tableau dashboards in Snowflake. The role applies AI/ML, predictive analytics, natural language querying, and GenAI-assisted analysis to business decision-making. Interns collaborate in Agile teams, refine development backlogs, learn emerging technologies, and build cross-functional relationships.

Supports DIRECTV FOR BUSINESS through KPI analytics, financial analysis, customer segmentation, and process improvement initiatives. The intern analyzes performance drivers, commitments, projects, and customer experience impacts; synthesizes insights into data stories; documents processes; and presents findings to leaders. The role involves cross-functional virtual collaboration and requires proficiency in Excel, PowerPoint, Python, SQL, Power BI, and data visualization.

Analyzes data warehouse information to identify trends and insights, supports ETL and data integration, validates data quality, performs root cause analysis, and documents data mappings and processes. Collaborates with IT, business stakeholders, and clients to gather requirements and deliver analytics project outcomes. This is a remote contract position with no supervisory responsibilities.

Analyze operational, payment, enrollment, survey, and field data to identify fraud risks and anomalies. Design and validate fraud-risk indicators, support investigations, improve data quality, and translate findings into actionable recommendations. Partner with Product, Data Engineering, and operational teams to develop fraud-detection tools and improve controls. Document reproducible, audit-ready analysis while communicating uncertainty and findings clearly to nontechnical stakeholders.