Repeat

Senior Analytics Engineer

  • Engineering
  • Full-time
  • Los Angeles, CA
  • Remote friendly

2021-11-22 20:56:52 UTC

What is Repeat?

Repeat is a SaaS platform that enables Consumer Packaged Goods brands to turn one-time buyers into repeat customers. Our Smart Replenishment software learns the habits of consumers, then leverages this data set to deliver frictionless, personalized replenishment experiences for consumers and drive repeat sales while providing powerful insights for CPG brands.

Our Company Values

Ownership

As an early hire at Repeat, you will have significant impact on every aspect of our company - we're looking for someone who is excited about helping us continue to define Repeat.

When problems arise, we focus on solutions instead of fault. Every employee at Repeat should feel empowered to address issues they encounter and create the company where they want to work.

Everyone has meaningful equity - we succeed or fail together.

Respect

Kindness is paramount, and being nice is dangerous. We strive to sustain an atmosphere of trust and candor where opposing ideas are valued, and debates are frequent and compassionate.

We believe that demonstrating respect for the consumer by increasing their agency in the reordering experience will generate brand loyalty and maximize lifetime value.

Growth

Our company is growing quickly, along with our user base and codebase. We take advantage of change and maintain anti-fragility with a commitment to curiosity and data-driven decision making.

We believe in career development as an extension of self-development — and vice versa.

Our Engineering Values

Continuous delivery & rapid iteration is important, and only sustainable through continuous improvement - each PR should improve the health of the codebase. We strive to allow features and bug fixes to drive refactors.

Low-ego and high-compassion: a developer is not their code; we strive to give the type of feedback we would hope to receive.

Perfect code doesn’t exist, but we each take complete responsibility in producing excellence - we review code thoroughly, write tests, and design architecture collaboratively.


The Role

  • Our first Analytics Engineering role!

  • Establish data engineering best-practices

  • Build out our core analytics platform using DBT & Snowflake

  • You will own high-impact work within a small team & see results in real-time

  • Build self-service infrastructure that will empower Engineering, Product, and Growth to solve their own data & BI needs

  • Combine disparate data stores aggregating data from multiple sources including application data, 3rd party e-commerce data, and analytics/behavior data

Requirements

  • 5+ years of relevant work experience

  • Demonstrated ability to design pipelines to deliver complex analytics to end-users with low response times

  • Experience building & supporting critical analytics infrastructure

  • Have (weakly-held) strong opinions about tooling, technologies, and best practices for data engineering

  • Ability to multi-task, organize, and prioritize work

Perks

  • Working at a high-growth VC-backed startup where work-life balance is important

  • Budget for lunches & snacks

  • Competitive salary & equity

  • Flexible work hours

  • Vacation is encouraged (and unmetered)

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Remote restrictions

  • Workday must overlap by at least 4 hours with Los Angeles, CA, USA