Architect the US Data Foundation, owning the US data model from end-to-end. Make critical calls, deciding when to leverage global models and when to build new, US-specific solutions. Build robust, scalable, and high-quality data models to power US-specific products and analytics.
Source Job
20 jobs similar to Analytics Engineer
Jobs ranked by similarity.
- Provide flexible, trustworthy data models by transforming data from multiple sources with DBT, testing for quality, deploying to visualization tools and publishing documentation.
- Collaborate directly with stakeholders to define problems and determine requirements for a solution. Set and maintain best practices for data models and processes.
- Proactively identify gaps or design flaws in our data models, and bring recommendations for how to fix them. Own documentation of our tools and data.
Articulate Global, LLC, is a SaaS provider of creator platforms for online workplace training. They have more than 118,000 customers in 170 countries and counts all 100 of the Fortune 100 companies as customers. They are named one of Inc. Magazine’s Best Workplaces 2022 and a leader in building a human-centered organization.
- Lead complex product pipeline builds: Design and develop scalable data pipelines supporting cross-domain product launches in Payments, Credit, and Subscriptions, from scoping through delivery.
- Collaborate cross-functionally: Partner with Product Analysts and Product Managers to define data requirements, while analysts continue owning pipelines alongside you.
- Build product reporting infrastructure: Create reliable, performant marts and models that power product dashboards and self-service analytics.
KOHO aims to make financial services better for every Canadian with no hidden fees and predatory interest rates, designing financial products to help users spend smart, save more, and build real wealth. They are a performance organization that cares deeply about outcomes.
As an Analytics Engineer, you will build the data foundation that powers key decisions across product, operations, and strategy. You will take ownership of our data stack from ingestion through modeling in dbt to build efficient, robust data pipelines. You’ll collaborate daily with Analysts, Data Scientists, and Machine Learning Engineers, as well as stakeholders from Product and Engineering.
Grow Therapy is on a mission to serve as the trusted partner for therapists growing their practice, and patients accessing high-quality care.
- Design and maintain high-quality data models that transform raw data into analytics-ready datasets.
- Model Shopify data including customers, orders, products, and transactional objects for business reporting.
- Build and optimize SQL transformations to support reporting, dashboards, and downstream analytics needs.
EX Squared is a global digital solutions company powered by engineering, analytics, and innovation. The LATAM team works with leading clients on high-visibility projects where data quality and modeling make a real business impact.
- Develop data-oriented solutions that drive immediate business value.
- Troubleshoot complex data issues and guide internal teams toward best practices.
- Prioritize projects across multiple departments while maintaining high quality and responsiveness.
Hightouch is the modern AI platform for marketing and growth teams, partnering with industry leaders to reimagine marketing workflows with AI agents.
Build and own the data foundation, ensuring models are performant, well-tested, and documented; design and maintain the Snowflake data warehouse and ingestion processes; and use modern data modeling best practices to create core entities and datasets. Implement testing and observability for analytics pipelines. Act as data liaison between Engineering, GTM, and Finance ensuring consistent metric definitions and proper system instrumentation.
Luxury Presence is the leading digital platform revolutionizing the real estate industry for agents, teams, and brokerages.
- Design, develop, and maintain reliable, scalable ETL/ELT pipelines across ingestion, transformation, storage, and consumption layers.
- Build and manage data models and transformations using dbt with strong testing and documentation practices.
- Contribute to architectural decisions, technology selection, and data engineering standards.
Vitable is a health benefits platform making healthcare better for employers of everyday workers.
- Shape strategy and drive execution of advanced analytics across various domains.
- Architect scalable analytics solutions, including data pipelines and KPI frameworks.
- Guide decision-making with insights using SQL, Looker, and statistical modeling.
NerdWallet is on a mission to bring clarity to all of life’s financial decisions and every great mission needs a team of exceptional Nerds.
- Define analytical strategy and govern key metrics.
- Architect scalable data models and lead cross-functional initiatives.
- Communicate analytical findings through compelling narratives.
Synapticure provides instant access to expert neurologists, cutting-edge treatments and trials, and wraparound care coordination and behavioral health support in all 50 states.
- Collaborate with Product, Design, Operations, and Security to deliver well-architected, scalable compute solutions.
- Participate in technical architecture discussions with a focus on query engines, storage systems, and distributed database design.
- Champion a culture of technical excellence and innovation, influencing engineering direction across multiple teams or domains.
dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. They have grown into the leading analytics engineering platform since 2016 and now serve over 5,400 dbt Cloud customers.
The Senior Data Analytics Engineer designs, implements, and optimizes data analytics infrastructure. The role requires both technical expertise and strong analytical skills. The engineer develops and maintains data models, dashboards, and reports to support business analytics and decision-making.
Uniswap Labs builds products that help millions of people access DeFi simply and securely ‒ from the Uniswap Web App and Wallet to crypto infrastructure.
- Build, operate, and scale the company’s transformation, enterprise data, and semantic layers.
- Distill requirements and logic and apply consistent implementation patterns to varying domains and use cases.
- Design, build, and maintain dbt models and macros, test specifications, and technical definitions of key measures and dimensions.
Rexel USA is a large distributor of electrical products, data communication, and related supplies. They operate through eight Regions with over 460 warehouse storefront locations throughout the U.S., focusing on creating an inclusive and diverse workplace.
- Support Finance and Payments teams with trusted, accurate, and actionable insights.
- Own complex SQL/dbt modeling, build and maintain core financial datasets.
- Develop Looker dashboards that support financial planning, revenue analysis, cost insights, and transaction-level reporting.
Jane is a team that's all about fostering growth, spreading delight, and serving our healthcare community by simplifying the lives of healthcare practitioners and patients daily.
- Build and maintain dashboards to deliver clear business insights.
- Transform raw data using DBT to create reliable datasets.
- Present analytical findings to stakeholders across the organization.
Roofr constantly gathers feedback to shape, prioritize, and launch the products they truly need, creating a CRM that connects solutions into a powerful platform.
- Transform raw data into actionable insights.
- Manage data transformation pipelines and ensure KPI accuracy.
- Collaborate with stakeholders to translate business needs into technical solutions.
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
As a Solution Engineer, you will meet with data partners, assess requirements, and recommend pipeline improvements to manage data export and delivery in an efficient, scalable process. You will be part of a small, cross-functional team that includes other engineers, a product manager, data scientists, and others. Success requires the ability to take on ambiguous, complex problems and promote innovative solutions to address immediate needs and support future growth.
Fetch is a rewards app that empowers consumers to live rewarded throughout their day and has delivered more than $1 billion in rewards and earned over 5 million five-star reviews.
- Design, build, and maintain robust and scalable data pipelines from diverse sources.
- Leverage expert-level experience with dbt and Snowflake to structure, transform, and organize data.
- Collaborate with engineering, product, and analytics teams to deliver data solutions that drive business value.
Topstep is an engaging working environment which ranges from fully remote to hybrid and they foster a culture of collaboration.
Lead efforts to improve and scale our promotion architecture, optimize data infrastructure, enhance analytical models, and enable data-driven decision-making across the organization. Manage the partnership with our Product and Engineering teams to support works across some of Wealthsimple’s highest priority efforts. Build robust, efficient, and integrated data models in cloud data warehouse that will be used as the source of truth for analytics across the Investing product organization.
Wealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money.
Lead the technical development of data offerings in India. Responsible for building and managing a high-performing team of Analytics Engineers. Establish best practices, mentor direct reports, and design an organizational setup for efficient scaling.
Juniper Square's mission is to unlock the full potential of private markets by digitizing these markets and bringing efficiency and transparency.
- Own the Data Products: You aren't just moving data; you are building durable, high-performance data assets that the business relies on.
- Empower the Consumers: Your team is the force multiplier for Data Science and Analytics. You remove the friction of data cleaning and query optimization so they can focus on insights.
- Enforce Technical Rigor: You ensure that our data models are not just accurate, but performant, scalable, and built with software engineering best practices.
Dandy is transforming the massive and antiquated dental industry. They aim to simplify and modernize every function of the dental practice through technology.