Top Analytics Engineer Jobs

The Senior Manufacturing Engineer will analyze manufacturing data, develop dashboards, implement process improvements, and support automation efforts. They will collaborate with teams to enhance data utility and decision-making.

Build and own end-to-end sales data pipelines and curated marts in Snowflake/dbt; implement monitoring, tests, and governance; run reverse-ETL to operational systems; partner with Sales, Ops, Finance, and People to deliver production-ready analytics products.

The Analytics Engineer will oversee the analytics foundation for advertiser reporting, ensure metric consistency across campaigns, and work with various teams to manage metrics and data models for the expanding ad platform.

The Lead Analytics Engineer will model revenue, specifically subscription revenue, manage financial KPIs, and ensure reconciliation with source systems like Stripe, while adhering to data governance standards.

The Electrical Condition Monitoring Analytics Engineer analyzes generator performance data, validates algorithms, and collaborates with teams to enhance monitoring systems for renewable energy assets.

The Senior Analytics Engineer will architect a unified data model, develop scalable dbt models, enhance data governance, and enable advanced analytics for strategic decisions.

Lead the architecture and development of data ecosystems and analytics capabilities, optimizing data products for customer insights and decision-making.

The Detection Engineer will enhance OT security by cataloging assets, developing detection logic, troubleshooting configurations, and conducting research on PCAPs in collaboration with engineering teams.

The Logi Analytics Developer will design reporting systems, create Logi objects, debug applications, and support business users in ad hoc reporting.

The role focuses on curating and maintaining data resources, optimizing pipelines, and collaborating with teams to ensure data cleanliness and accessibility.

The Senior Data & Analytics Engineer will design and maintain data pipelines, develop analytics schemas, build visualizations, and perform deep-dive analyses to drive business decisions.

The Analytics Engineer will build and optimize data systems, analyze catalog performance, and collaborate across teams to enhance decision-making processes.

Lead architect for the Data & AI Platform, transforming raw data into optimized assets. Responsibilities include governance, automation, and mentoring teams.

The Analytics Engineer is responsible for utilizing data analysis to optimize operations, develop data models, and communicate insights effectively. They will collaborate with Data and Engineering teams and ensure data governance throughout the data lifecycle.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.

Design and implement data platforms, develop MLOps capabilities, enhance data orchestration; collaborate with teams for innovative solutions.

Lead and support process design and optimization projects in pharmaceutical manufacturing, utilizing data analysis to improve safety, efficiency, and product quality.

The Associate Consultant will work on manufacturing process design, optimization, and scaling in the biotech sector, conducting data analyses and supporting client presentations.

This role involves owning product analytics from end-to-end, including event taxonomy, instrumentation, dashboard design, and proactive insight delivery for the product team at XBOW. You'll improve frontend and server-side tracking, ensure data quality, and enable self-service analysis for stakeholders while working across the full stack. The focus is on actionable insights rather than vanity metrics.

Lead marketing analytics strategy and architecture, develop ML models (media mix, propensity, LTV), design experiments and causal inference, partner with data engineering to build scalable ETL and reporting, automate processes, deliver executive dashboards, and mentor junior analysts.

The role focuses on enhancing data quality, managing raw data, developing database architecture, and implementing AI/ML models in healthcare analytics.

This role involves designing and maintaining data pipelines, creating dashboards, and collaborating with stakeholders to drive analytics solutions for external data products.

The role involves setting up and optimizing ESDA for new products, improving data flow and analysis for DRAM and NAND, and facilitating collaboration across various engineering teams to enhance yield and reliability.

Design and maintain technical infrastructure for data analysis, collaborate with stakeholders, and develop data visualization tools.

As a Business Intelligence and Analytics Engineer, you will develop data tools, ensure data quality, deliver analytical insights, and collaborate with cross-functional teams to empower data-driven decision-making.