28 results
FiltersWe're seeking a GCP Data Analyst to support data validation initiatives and ongoing analytics work. The analyst will work across a variety of data workflows, from validating metrics during system migrations to supporting day-to-day data analysis and reporting needs. You’ll leverage advanced BigQuery features to ensure data integrity and surface meaningful insights.
We are looking for a Data Analytics Engineer to build, optimize, and maintain the analytical data layer that powers decision-making across the organization. You will transform business requirements into reliable, well-modeled datasets using dbt, SQL, and cloud data warehouses. This role combines data modeling, documentation, data quality design, and close collaboration with analysts, engineers, and product teams to ensure consistent, trustworthy reporting.
You will work with Engineers, Data Scientists, Managers, and others to understand their needs, and actively work to build datasets to tackle these challenges. Collaboratively refine and evangelize a comprehensive framework for integrating data-thinking into the software development lifecycle for product teams. Design, architect, and maintain core marketing datasets, data marts, and feature stores that support a blend of mature products and features. Drive data quality and best practices across different business areas.
Northbeam is fundamentally a data product where the company sells data. You will work with a small engineering team to create a platform that consolidates third-party data from a wide range of sources, including advertising platforms, e-commerce systems, customer data warehouses, ERP, POS, and CRM systems. You will need to think about concerns like scalability, multi-tenancy, batch vs streaming trade-offs, data validation, API design, and more.
Shape how data drives decisions across the company. This high-visibility, hands-on role blends technical depth with analytical storytelling. You’ll develop scalable dbt models in BigQuery and Looker, define trustworthy metrics, and translate complex data into insights that influence company strategy.
Looking for an analytics-focused Data Engineer to join our expanding data department, focusing on the operationalization and enrichment of our core data products. This individual will play a key role within our Data Engineering team and requires familiarity with common data processing tools and languages, and adherence to data governance best practices.
Design, build, and maintain ETL/ELT pipelines in dbt and Scio that monitor and measure user exposure, engagement, and consumption across Spotify’s ecosystem. Collaborate with data experts from the Telemetry Squad, alongside data scientists and analytics specialists from the Epic Squad, to streamline data logging, user behavior instrumentation (UBI), and consumption reporting. Improve Spotify's data architecture by crafting user journey timelines and standardized schemas.
This role accelerates decision-making across Serve Robotics by transforming raw data into actionable insights. You will own the architecture, automation, and reliability of our analytics data pipelines while collaborating closely with cross-functional partners to make data a strategic asset for our autonomy, operations, and product teams.
As a Data Engineer, you’ll work hand-in-hand with the Data Services team to build, validate and deliver transformed data to meet stakeholder requirements; the ideal candidate has strong SQL skills, a passion for data, a technical background and an interest in professional sports, betting & eSports.
Join our team as an Analytics Engineer! This role focuses on designing, implementing, and optimizing digital analytics solutions using tools such as Google Analytics 4 (GA4), Google Tag Manager (GTM), and data layer frameworks. This position ensures accurate event tracking, scalable tagging infrastructure, and actionable insights to support data-driven decision-making across the company.