Top Hybrid Reporting & Insights Jobs

Build and maintain enterprise Workday reporting solutions, dashboards, calculated fields, and automated reporting processes across HR and finance functions. Advise HR stakeholders, ensure data quality and governance, support compliance, document reporting logic, manage releases and rollouts, troubleshoot production issues, and mentor junior team members.

Provides portfolio-level data management, reporting, dashboards, and analysis for strategic initiatives. Supports executive decision-making by monitoring milestones, forecasts, risks, data integrity, schedules, and operational efficiency. Partners with portfolio leads, business owners, and stakeholders to resolve data issues, improve processes, prepare meetings, and facilitate prioritization and sequencing discussions.

Conduct research and analytics for Finance and Travel audiences using first-party, syndicated, quantitative, qualitative, and secondary data. Synthesize large datasets into insights supporting advertising partnerships, campaigns, RFPs, and ad hoc requests. Advise Marketing, Editorial, and Sales teams on audience growth and brand strategy, design consumer research studies, create data-driven stories, and present findings to technical and non-technical audiences.

Own end-to-end client reporting and analysis, including scoping, delivery, automated report development, and deep-dive investigations. Partner with client-facing teams to answer complex healthcare questions, improve report efficiency and accuracy, develop scalable reporting automation with data engineering, and establish best practices for visualization, documentation, metrics, and stakeholder communication.

Owns TransUnion’s consumer lending thought leadership and market research agenda. Develops analytical frameworks using proprietary data and market signals, publishes white papers and executive content, advises leadership on regulatory and competitive developments, and serves as an external authority on fintech, BNPL, and non-depository lending. Directs offshore analysts and collaborates with cross-functional teams to shape commercial strategy.

Leads customer insights management for Insurance Operations, translating customer, experience, and operational data into executive recommendations. Oversees KPIs, reporting, research, journey mapping, customer analytics, root-cause analysis, AI-enabled insights, and cross-functional improvement initiatives. Shapes the customer experience strategy and roadmap, manages team priorities and resources, leads strategic projects, and develops team capabilities through coaching and cross-training.

Business Analytics Interns will transform and model datasets, analyze customer and business data, build dashboards, support ad hoc investigations, and translate stakeholder questions into actionable insights. The role also involves communicating findings to technical and non-technical audiences and exploring AI tools to improve analytical workflows and self-service analytics. The internship runs approximately 30 hours per week from October 6 through December 17, 2026.

Own GTM performance analytics, KPI and target setting, reporting, forecasting, compensation planning, and performance reviews across Sales and Post-Sales. Identify anomalies and optimization opportunities involving conversion, churn, productivity, pricing, packaging, segmentation, channel economics, and customer quality. Partner with Finance and GTM leaders to develop recommendations, lead strategic initiatives, and ensure data integrity while translating analysis into actionable business decisions.

Own website analytics, KPI frameworks, funnel analysis, user behavior insights, and experimentation strategy. Identify conversion opportunities, prioritize roadmap initiatives, and lead testing, optimization, segmentation, and personalization programs. Partner with Marketing, Product, and Engineering to align experiments with business goals, communicate findings to senior leadership, and improve engagement and conversion through accurate measurement and data-driven recommendations.

Monitor and verify real-time college and professional sports data feeds, identify and resolve discrepancies, cross-check information across sources, troubleshoot issues with technical teams, track sports schedules and statistics, and provide feedback to data collection scouts to improve accuracy and performance.