Top Data & Analytics Jobs

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.

Import, transform, and load data from external sources into production databases. Ensure data consistency and quality, collaborate with internal/external stakeholders, support segmentation updates, and assist with displaying data in web applications. Begin onsite for training in Mesa, AZ, then transition to a hybrid schedule.

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.

The Business Analyst will analyze business and IT needs, document requirements, support software development lifecycle activities, and develop and execute testing plans. The role may also support project management using PMI or IIBA methodologies, quality management, ERP manufacturing systems, and software development in FDA-regulated environments. Strong communication, leadership, planning, analytical, and problem-solving skills are required.