Top Data & Analytics Jobs

Serve as data steward for Aftermarket data: assess and improve data quality, define metrics, run audits, communicate business impact, and coordinate remediation across teams.

Lead a large-scale Oracle Cloud Infrastructure data platform migration through architecture assessment, target-state design, migration planning, and hands-on technical execution. Optimize Oracle databases, SQL, ETL/ELT pipelines, synchronization, and cloud infrastructure. Establish monitoring, observability, automation, coding standards, and deployment practices while leading technical triage and collaborating with engineering, infrastructure, architecture, and business stakeholders.

The Cloud Data Engineer designs and supports scalable Snowflake and Azure data architectures, environments, and ETL/ELT pipelines. Responsibilities include Snowflake performance and cost optimization, Azure resource management, security controls, troubleshooting, documentation, design reviews, and collaboration with architecture, engineering, BI, and security teams. The role also contributes to software development, testing, debugging, mentoring, and data warehouse and data mart implementation.

Creates business intelligence solutions and analyzes complex data to support strategy, finance, revenue cycle, operations, and marketing decisions. The role develops productivity reports and dashboards, benchmarks clinical practice performance, recommends fiscal improvements, prepares presentations, and advises physicians using actionable data. Responsibilities include learning Excel, Tableau, and EPIC reporting systems, collaborating with internal stakeholders across clinical office sites, and supporting physician productivity optimization.

Leads enterprise analytics, automation, and value discovery initiatives by integrating data, building Power BI dashboards and models, monitoring exceptions, and identifying revenue, margin, operational, inventory, pricing, and compliance opportunities. Partners cross-functionally to prioritize and measure improvements, conduct root-cause analysis, maintain data governance, and evaluate AI-enabled solutions. The role requires advanced analytics expertise, executive communication, stakeholder management, and oversight of multiple enterprise initiatives.

Owns the NetSuite item master and product data lifecycle across multiple brands. Responsibilities include managing SKUs, UPCs, attributes, BOMs, ECOs, units of measure, dangerous-goods classifications, product synchronization with WMS and Shopify, data governance, audits, and process improvements. The role partners cross-functionally with product development, operations, procurement, planning, finance, compliance, logistics, IT, and e-commerce teams to maintain accurate, scalable product data and support commercialization.

Supports mission operations through business process analysis, reporting, dashboard development, data quality review, systems administration, data modeling, and process improvement. The role gathers requirements, documents workflows, tests system changes, performs recurring and ad hoc analyses, and communicates practical findings to technical and non-technical stakeholders across school and engineering-focused teams.

Lead MyFitnessPal’s product analytics practice and team, advising the Chief Product Officer and senior leaders through actionable data insights. Define product metrics, oversee experimentation, analyze customer and marketing behavior, improve instrumentation and data infrastructure, and shape product strategy, roadmaps, engagement, and retention. This hands-on director role combines executive communication, team development, analytical leadership, and direct analysis across consumer iOS and Android applications.

Manage data analytics and reporting in a cross-functional environment, partnering with teams to enhance business decisions and performance. Create dashboards and maintain SQL queries while ensuring data accuracy.

Leads and develops an analytics engineering team that builds data pipelines, analytical models, reporting, and scalable data infrastructure. Partners with Product, Engineering, Growth, and Operations to deliver reliable, actionable data. Establishes governance, quality, testing, documentation, and modeling standards while prioritizing analytics projects and communicating with stakeholders.