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Designs and maintains Salla’s event instrumentation, taxonomy, and tracking pipelines to enable product analytics, ensuring data quality and adoption across engineering teams.
Analyzes injection-molding production data to build reports, spot inefficiencies, and recommend process improvements for a plastics manufacturer.
Staff-level IC building AI-powered analytics tools—RAG pipelines, LLM-assisted querying, AI agents, and applied ML models—using Python and SQL to automate analytics workflows at Pure Storage's Bangalore office.
The Manager of Healthcare Quality Data Analytics oversees clinical quality data collection, analysis, and reporting to support strategic decision-making and process improvement. The role involves utilizing EHR systems, SQL, and Excel to develop dashboards and ensure data integrity within a clinical environment.
The Staff Data Analyst will design measurement plans, conduct causal inference analysis, and partner with merchandising leaders to optimize pricing, inventory, and promotional strategies.
We are seeking a _Sr. Data Analyst_ who will be responsible for developing, implementing, and managing a plan to translate data into insights. The Sr. Data Analyst will provide expertise in data analysis and…
Staff Data Analyst at Peloton partners with operations and tech teams to define metrics, analyze supply chain and member support data, and translate insights into business decisions using SQL, Python/R, and BI tools.
The Staff Data Analyst will lead data strategy and architecture for Coupang's Retail and Selection team, utilizing SQL, Python, and generative AI to optimize product catalog data and inventory health. This role involves building robust ETL pipelines, creating decision models, and mentoring team members to drive data-informed business decisions.
Staff Data Analyst architecting data strategy for Coupang's Retail and Selection team, using SQL, Python/R, ETL pipelines, and LLMs/prompt engineering to optimize product catalog, pricing, and inventory decisions.
At Guitar Center, Analytics helps teams make better decisions that drive customer and business value. We are looking for a Staff Data Analyst to serve as the senior analytics partner to Merchandising and adjacent…
Develops and deploys AI/ML models for semiconductor manufacturing, optimizing processes with Six Sigma. Bridges data science, engineering, and IT/OT systems for real-time automation and predictive analytics.
Builds and owns the data governance, modeling, and analytics foundation for People Experience at Fetch, defining strategy, designing scalable systems, and hands-on implementing SQL models/dashboards to enable AI and operational decisions.
The Staff Business Intelligence Analyst will build scalable analytics models, datasets, and reporting solutions using Snowflake, dbt, and Sigma. This hands-on role supports cross-functional teams by transforming complex data into trusted, self-service analytics products.
Build and maintain scalable data pipelines, semantic layers, and dashboards for Warner Bros. Discovery’s streaming analytics, enabling data-driven decisions across global markets.
Job Description: This position will support the analytics needs for the Home Services portfolio which includes Home Health, Hospice, Pharmacy, Medical Equipment, Palliative Care, Hospital at Home, House Calls, and…
Join us as a Supply Chain Business Analytics & Automation Lead! Drive executive-level decision making by leading COO Monthly Review preparation, delivering critical supply chain insights, responding to senior…
Company: Qualcomm Incorporated Job Area: Information Technology Group, Information Technology Group > Data Science General Summary: The Staff Analytics Engineer (AI & Predictive) is a senior, hands-on individual…
Builds and maintains the data infrastructure and semantic layers that power Perplexity AI’s analytics and AI-native decision-making systems.
Analyze housing and policy data, design research, create visualizations, and publish reports for state government initiatives in Ohio.
Senior analyst builds healthcare KPIs and predictive models using SQL, Python/R, and BI tools to guide executive decisions, regulatory reporting, and patient outcomes for a national telehealth platform.
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