What are the responsibilities and job description for the Senior Analytics Engineer position at Mux?
About Mux
Mux is video for developers. Our mission is to democratize video by solving the hard problems developers face when building video : video encoding and streaming (Mux Video), video monitoring (Mux Data), and more. Video is a huge part of people's lives, and we want to help make it better.
We're committed to building a healthy team that welcomes diverse backgrounds and experiences. We want people who care about our mission, are ready to grow, believe in our values (from Be Human to Turn Customers Into Fans), and want to improve the people around them.
You'll join a tight-knit team with experience at places like Google, YouTube, Twitch, Reddit, Zencoder, Fastly, and more. Our founders previously started (and sold) Zencoder, an early leader in cloud video technology, and authored Video.js, the biggest HTML5 video player on the web. We organize Demuxed, the premiere conference for video engineers in the world.
We're backed by top investors like Coatue, Accel, Andreessen Horowitz, and Y Combinator. You'll get to work with amazing companies : hundreds of startups, plus Strava, Patreon, Vimeo, Robinhood, PBS, and Equinox. Customers, large and small, love working with us and love our team.
We are building something big together. We'd love to hear from you!
About the Role
As an Analytics Engineer at Mux, you will be the cornerstone of our data infrastructure, ensuring that our internal data warehouse operates seamlessly. You'll be responsible for managing and optimizing it through dbt, leveraging deep expertise in SQL and data modeling best practices. Beyond maintaining data infrastructure, you'll ensure the accuracy and reliability of our data.
This role is highly collaborative, requiring you to work closely with engineers and business stakeholders (e.g., Sales, Customer Success Managers, and Account Managers) to understand the end-to-end lifecycle of data at Mux-from its creation to how it empowers our teams and customers. You'll also contribute to our business intelligence ecosystem, helping unlock insights for end users with tools such as Looker and Hex.
What You'll Do
- Own and manage the Mux data warehouse (Snowflake) and oversee workflows through dbt.
- Build, optimize, and maintain robust data models that serve as the foundation for analytics and decision-making.
- Implement and oversee data quality practices using tools like Metaplane and Monte Carlo.
- Manage data integrations with internal tools and systems (e.g., Salesforce, Zendesk, etc.).
- Collaborate with cross-functional teams to understand business requirements and align data solutions.
- Contribute to the business intelligence layer, ensuring it delivers actionable insights (Looker experience preferred).
- Advocate for and train teams on best practices for data management and modeling
Who You Are
In our commitment to provide transparency with candidates, we openly share base pay ranges for all job postings within the United States, regardless of the state. These pay ranges are established using standardized criteria, including job function, level, and location. They're also benchmarked against similar companies in a similar stage of growth. The starting base pay for this position is between $170-$220K . Actual pay is influenced by various factors such as location, skills, depth of experience, and internal equity.
Benefits
You'd join an amazing team from places like Google / YouTube, Amazon / Twitch, Facebook / Oculus, Reddit, Brightcove, Bain, and the BBC. We have a supportive culture that cares about both excellent work and work-life balance. We are remote-equal, with an office space in Downtown San Francisco and London.
Mux is an Equal Opportunity employer committed to building a diverse company. We believe diversity makes us better, and we strive to be inclusive and equitable. That's why we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.
Salary : $170,000 - $220,000
