Top Data & Analytics Jobs

The Senior Data Analyst will partner with clinics to analyze financial performance and operational efficiency, design reports, and communicate insights effectively.

As a Quantitative Research Analyst, you will develop and test trading algorithms, conduct statistical analyses, and improve mathematical models using complex data sets.

Lead analytics and reporting for Center Store sourcing: build tools and dashboards, support negotiation prep and RFPs, identify savings and growth opportunities, manage project timelines, train associates, and partner cross-functionally to drive financial results and process improvements.

Lead Center Store sourcing analytics by building reporting tools and financial insights to support negotiations, RFPs, and commercial planning. Manage project timelines, synthesize data into negotiation fact packs, identify savings and growth opportunities, train colleagues, and drive process improvements using DSS, PowerBI, Circana, and Office tools.

The Analyst IV is responsible for delivering scalable, secure POS and Payments technology solutions, leading design and integration, and ensuring system performance along with troubleshooting support.

Lead product data analytics: analyze large datasets, build models and dashboards, design and evaluate A/B tests, advise product decisions, automate analytics with AI-enabled tools, and collaborate with global R&D and product teams to deliver actionable insights.

Manage research intake and workflows in Jira, enforce sharing and archival standards in SharePoint/Research Hub, leverage AI for tagging and discoverability, prevent redundant research, produce quarterly insight digests, standardize naming and folder structures, and support quantitative and qualitative analysis while managing budgets and vendors.

Own and architect large-scale data pipelines, orchestration, and integrations. Drive IaC strategy (Terraform), third-party API and AI/LLM tool integrations, build export pipelines and internal tooling, mentor engineers, and align cross-team technical strategy for reliable, scalable data infrastructure.

Lead operational design and engineering for the data platform: own Snowflake and dbt administration, automate platform operations and CI/CD, monitor platform health and observability, enforce governance and access, optimize performance and costs, and develop AI/agent integrations to enable governed data access for business users.

Lead and mentor a team of analysts to deliver HR-related analytics and BI solutions. Mine and model large datasets, design tests, improve reporting and operational efficiencies, and collaborate across business units to inform strategy and product decisions.

Lead data governance for the Global Payment Network: implement and enforce policies, ensure data quality, master data management tooling, drive automation and process improvements, collaborate with executives, data stewards and tech teams, and synthesize risk reporting and insights for senior leadership.

Lead validation of enterprise analytical tools: refine validation framework, plan and execute projects, assess methodology quality and risk, prototype best practices, communicate findings, and coach junior staff.

Produce regular reports and analyses to inform strategic decisions across Sales, Partnerships, Finance, and Product. Ensure data integrity, present insights to senior leadership, solve complex business problems, and improve analytical capabilities and processes.

Lead design and execution of Toast's enterprise data governance: define strategy, build governance frameworks, policies, business glossary, Data Governance Council, ensure compliance (GDPR/CCPA/SOC2/PCI-DSS), run maturity assessments, enable data literacy, and grow the governance team to drive adoption across domains.