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Analytics Engineering Lead

Prose LogoProse
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At Prose, we don’t believe in “one-size-fits-most.” We create custom hair care that’s inclusive to all hair types, needs and preferences. Each of our hair care products is customized to a person’s hair needs based on the results from an online consultation. The individual data is processed through a proprietary algorithm and made-to-order in the Prose lab using natural active ingredients. Marrying emerging technologies with the best in beauty, Prose is truly creating something special.

This is the opportunity to join a fast-growing startup and an energetic team that works together to deliver creative solutions that are transforming the way people think about and shop for hair care. We are committed to building a diverse and inclusive culture, and are looking for talented problem solvers who lead with passion and who face any task with a positive mindset.

Prose is looking for a Analytics Engineering Lead to join our Business Analytics team, a new role within the team. This leader will drive our data roadmap and improve and maintain our existing infrastructure in Google Cloud Platform/Looker and closely collaborate with teams across the business to provide the system that they and the business analysts use to gain strategic and operational insights on all parts of the business while building strong relationships with key stakeholders across the Prose organization from our (amazing) Growth and Digital Product teams to our (strong) Data Engineering and Data Sciences teams in Paris.

This role will report directly to the VP, Business Analytics.

What you'll do:

  • Own and lead the translations of business needs into data requirements and proof-of-concept transformations through the use of version control, testing, and continuous integration.
  • Support delivery of well-defined, transformed, tested, documented, and code-reviewed data sets. Ensure high quality of this data and associated documentation.
  • Collaborate with data engineers on infrastructure projects to improve ingestion pipelines and sourcing new data
  • Build relationships with team leads across the company and serve as a bridge between teams across the business and data engineers to improve infrastructure to provide better insights and optimize processes
  • Design architecture for and oversee the “back end” development of including but not limited to Looker, in partnership with our data engineering team
  • Develop POCs/requirements for improved data marts building, maintenance and innovations
  • Understand, and be proactive in seeking new and innovative solutions to solve business data and analytics challenges
  • Document work, prioritize data governance and evangelize best practices
  • Proactively seek out and investigate new technologies to advance Prose’s data practices
  • Support other ad-hoc requests as needed
  • Become a SME on business data and its appropriate uses

We’d love to hear from you if…

  • You have hands on experience in an analytics engineering role
  • You are able to code switch between the technical and business speak
  • You understand and can translate between business requirements and the data, tools and process that are necessary to address business needs
  • You have a passion for data pipelining, modeling and architecture
  • You are able to code either in Python or SQL, being proficient in either and knowing when one is preferable to the other
  • You have an enthusiasm for conducting reproducible analysis; we believe in code review, version control, and solid documentation
  • You have a drive to learn and master new technologies and techniques
  • You are obsessed with reducing lag, building scalable systems, optimizing performance, automating things and solving complex problems!
  • You are proactive and collaborative, you enjoy working with others up, across and down the organization
  • Pass a technical exam.

Technologies you will use...

  • Google Cloud Platform: (BigQuery, DataFlow, Kubernetes Engine + Pub/Sub) and we are open to adopting new tools as we grow!
  • Airflow for data pipelining.
  • Looker for business intelligence and consumer facing dashboards
  • Heap for web analytics
  • Python or R for machine learning algorithms and analysis.
  • Many more to come - be part of the team that decides!

You can expect…

  • Annual base salary range of $132,000  to $165,000. Pay (base and bonus) may vary depending on job-related skills and experience. A discretionary performance bonus may be provided as part of the total compensation package, in addition to company-paid medical and/or other benefits.
  • Company-paid health, dental, vision, life, and disability insurance
  • 401(k) plan and match, FSA, and commuter benefits
  • Generous PTO
  • Work from Paradise program that allows for up to 8 weeks to work from anywhere in the world (some restrictions apply)
  • The opportunity to grow alongside a company shaking up the world of beauty through hyper personalization through technology and design
  • An inclusive community of fun, diverse, and open-minded coworkers committed to not just advancing beauty but also as a B-corp advancing social good

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