Top Data & Analytics Jobs

Maintains accurate formulas, ingredient and product specifications, and process instructions in PLM and ENF systems. Reviews and updates R&D documentation, manages item creation and obsolescence, supports approvals with internal stakeholders and suppliers, and follows data-management standards, SOPs, and checklists. The role requires meeting project deadlines, careful attention to detail, collaboration, problem-solving, and foundational knowledge of food science, engineering, quality assurance, and food-industry processes.

Own and build Underdog’s regulatory reporting data platform, including dbt models, resilient pipelines, automated validations, monitoring, and reporting roadmaps. Partner with regulators, engineering, product, compliance, and leadership; lead audits, investigations, root-cause fixes, data governance, and on-call operations. WOOF WOOF.

Designs, integrates, validates, and improves data systems supporting a school district’s Teacher Incentive Allotment program. Builds longitudinal student-teacher datasets and automated assessment pipelines, develops and validates student growth models, simulates teacher designations, forecasts funding, maintains dashboards, supports TEA submissions, conducts data-quality and fairness analyses, and briefs district leaders. The role also documents methodologies, evaluates policy changes, identifies participation and measurement risks, and collaborates with Finance, HR, principals, and TIA committees.

Own Patlytics’ data warehouse, transformation layer, ingestion pipelines, usage metering, billing data models, BI, and reporting infrastructure. Build production systems in Python and SQL, establish data quality and monitoring standards, and translate ambiguous business questions into reliable analytical models. The role partners closely with the CTO and stakeholders, provides technical direction, and may grow into team leadership. Front-end experience for internal tools and reporting interfaces is a bonus.

Own analytics for the clinician lifecycle, from recruiting and credentialing through performance, quality, retention, and business impact. Build operational scorecards, predictive retention models, licensing dashboards, and transcript-based empathy scoring frameworks using SQL, Python, BI tools, NLP, and LLMs. Partner with clinical, quality, operations, talent, product, and executive stakeholders to connect clinician behaviors and outcomes with patient retention, NPS, compensation, training, and workflows.

Build and advance channel intelligence capabilities by collecting and synthesizing customer, retailer, marketplace, competitive, field, syndicated, and commercial data. Develop frameworks, processes, reports, presentations, and actionable recommendations that support commercial growth, program optimization, planning, and decision-making. Partner cross-functionally with field teams, program leaders, clients, and analysts while communicating complex findings through clear business narratives and contributing to organizational capability development.

Leads product, formulation, packaging, and SKU onboarding across master data and PLM systems. Defines data standards, hierarchies, workflows, playbooks, SLAs, and quality metrics; manages PLM operations, integrations, and system enhancements. Partners with R&D, Supply Chain, Regulatory, Commercial, Quality, and IT to govern product lifecycle data. Manages and develops a small analyst team while building scalable processes and resolving data issues.

Business Analyst serving as the bridge between business stakeholders and IT teams. Responsibilities include gathering requirements, documenting user stories, designing system enhancements, managing stakeholders, supporting ERP and CRM capabilities, developing training materials, coordinating testing, troubleshooting, monitoring system usage, and measuring process improvements, efficiency gains, and return on investment. The role supports technology-enabled outcomes across sales, service, parts, rental, finance, and HR functions.

Supports enterprise data architecture initiatives involving data sources, integrations, pipelines, cloud technologies, IoT and telematics data, governance, quality, visualization, artificial intelligence, and machine learning. The intern will document data flows, develop proof-of-concepts, create architecture diagrams and dashboards, analyze data for business insights, and collaborate with architects, engineers, analysts, and stakeholders to deliver a meaningful summer project.

Analyze marketing and media data to measure TV and streaming campaign effectiveness, validate data and assumptions, identify actionable insights, and create clear visualizations and client-ready presentations. The analyst will use Excel, BI and data platforms, SQL, and AI tools to accelerate analysis while independently validating results and explaining methodologies, KPIs, and recommendations to internal teams and clients.