Top Data & Analytics Jobs

Designs and maintains dashboards, reports, semantic views, data models, pipelines, and analytical workflows supporting Finance and Accounting. Partners with stakeholders to define metrics, build trusted BI solutions, investigate data issues, automate workflows, and deliver recurring and ad hoc insights. Requires strong SQL, Tableau or similar BI experience, Python, data validation, pipeline support, and effective communication with technical teams and executives.

Leads foundational enterprise data engineering at Chewy, setting strategy for authoritative data entities, reusable platforms, governance, metadata, quality, lineage, and observability. The role embeds AI into data development and operations, creates intelligent data discovery and automation experiences, simplifies fragmented pipelines, and improves proactive quality management. It also leads managers and engineering teams, establishes standards, partners with data product and reliability organizations, and drives measurable improvements in delivery speed, reuse, reliability, and data confidence.

Build and govern Ibotta’s foundational data platform using Python, SQL, Terraform, Databricks, AWS, and Spark. Develop infrastructure provisioning, access controls, governance automation, self-service tooling, and scalable data pipelines. Support reliability through incident resolution, root cause analysis, on-call participation, and platform improvements. The role requires three years of software or data engineering experience and is hybrid in Denver.

Full-time summer intern supporting secure data sharing, multi-cloud infrastructure, Terraform automation, AWS and Databricks platforms, and Unity Catalog governance. The role involves collaborating with platform engineers, security teams, and domain teams while developing practical experience with distributed systems, cloud technologies, and reusable automation.

Analyzes large-scale payment datasets to identify optimization opportunities and deliver recommendations that support merchant growth. Builds scalable analytics solutions, ETL pipelines, automation, and self-service tools; leads A/B tests and complex data investigations; develops dashboards; and translates findings into actionable narratives for technical, commercial, and product stakeholders. The role also supports mentorship, knowledge sharing, and analytical best practices.

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.

Lead Flywire’s client-facing business intelligence and analytics vision. Partner with stakeholders to analyze client value, revenue, billing, payments, CRM data, and usage patterns. Design and develop customer dashboards, communicate complex insights clearly, and manage cross-functional projects with product and engineering teams. Ensure reporting solutions are secure, scalable, and integrated into a seamless user experience while supporting revenue, retention, and broader business strategy.

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.

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

Own business intelligence and strategic analytics for Avail by analyzing complex data, developing KPIs, building automated dashboards and reports, conducting market and performance analyses, and delivering insights for strategy, product, marketing, operations, forecasting, and revenue growth. The role partners with stakeholders and data engineering to create analytical data layers and self-service solutions that support data-driven decisions.

Leads credit card acquisition analytics for U.S. consumer and small business portfolios. Manages data scientists and analysts, develops predictive models, evaluates marketing campaigns, shapes offer and targeting strategies, and translates customer and channel insights into measurable business outcomes. Partners with product and marketing leaders, communicates findings to senior stakeholders, and promotes experimentation, model governance, scalable reporting, and continuous improvement.

Owns data governance activities across Compliance, Finance, Risk, and Controls. Responsibilities include maintaining metadata, supporting data quality rules and remediation, coordinating with Data Owners and technology teams, reviewing governance reporting, and ensuring data assets meet documentation, quality, and regulatory requirements.

Conduct quantitative commercial research on industry policy themes spanning supply chains, advanced manufacturing, defense, energy, strategic technologies, and pharmaceuticals. Analyze industry and supply-chain drivers, develop thematic indicators, assess policy and geopolitical impacts, project market developments, and deliver actionable insights through reports and business writing. Collaborate across research and banking teams, maintain external relationships, and support client engagements.

Lead design and execution of a customer experience measurement framework combining quantitative and qualitative data. Analyze trends, provide actionable insights, monitor initiative impact, mentor a team, and partner with cross-functional leaders to improve customer satisfaction and operational processes.