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Staff Analytics Engineer

Mercury LogoMercury
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Salary

Our target new hire base salary ranges for this role are the following: US employees (any location): $237,600-$279,000; Canadian employees (any location): CAD $216,200-$254,300

Location

San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States

We are looking for a Staff Analytics Engineer who can turn a universe of opportunities into impact. As the first Analytics Engineer to join our experienced, high-performing team of Data Engineers and Scientists, you will play a pivotal role during an exciting inflection point in our growth. Your innate curiosity and extensive experience will empower you to contribute across a diversity of initiatives both within and beyond the data domain, and you’ll do all this in collaboration with a team that will motivate and challenge you to deliver your absolute best. Come grow with us.

Responsibilities:

Contribute to the evolution of Mercury’s data quality, governance, and security strategies

  • Contribute to the evolution of Data Team best practices and workflows to ensure that we are building a sustainable and scalable data function
  • Drive adoption of new tools and methodologies to enhance data accessibility, discovery and documentation

Design and build scalable data pipelines and business-conformed data marts that enable better decision-making and data self-service

  • Collaborate with cross-functional teams, including Engineering, Data Science, Product, Risk, InfoSec and Marketing to understand the needs of the business and how to serve them
  • Mentor team members and foster a culture of continuous learning
  • Support stakeholders to encourage data literacy in every department at Mercury
  • Partner with Data Team leadership to align on departmental priorities

What we’re looking for:

  • 7+ years of Analytics or Data Engineering experience
  • Expertise with
  • A full modern data stack (Fivetran / Snowflake / dbt / Metabase / Hex or equivalents)
  • SQL, dbt, Python
  • Experience with
  • OLAP data modelling and architecture in support of self-service. Bonus if you have experience with OLTP data
  • Streaming / real-time data pipelines
  • Least privilege access patterns across data warehouse and visualization tooling. Bonus if you have zero trust access pattern experience
  • Exposure to
  • Serving data for ML and Generative AI use cases
  • The financial services industry (banking, insurance, accounting, or payments)
  • Data compliance standards (CCPA, GDPR, et al.). Bonus if you’ve implemented operational controls to comply with standards

Your values:

  • Systems thinking - you’ll be representing the interests of the Data Team when influencing overall systems architecture and design
  • Attention to detail - you’ll be contributing to the improvement of the Data Team’s practice and you’ll help ensure high quality standards are met
  • Commitment to learning - you’ll be supporting and mentoring colleagues across Mercury in data
  • techniques, tooling and best practice
  • Thoughtful communication - you’ll be collaborating with people of varying technical competency across Mercury and helping to translate needs and intentions into action

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