Prove Data Analysts play a critical role in building the next generation of authentication products. You will work closely with your peers to support various areas in product, sales, and engineering, refining the products that directly impact customer experiences. You’ll play a pivotal role in shaping the future of identity verification and help us achieve our mission of creating a state-of-the-art frictionless digital identity and authentication platform.

• What you’re likely like: (A lot of these are learnable while in the role):
  • Enjoys understanding mysteries, a desire to explore your own unknowns, and act with little information, while comfortable sharing new discoveries.
  • Desire to ask questions without the concern of being wrong, or concern to offend for disagreeing.
  • Very team centric, highly team centric, with a high desire to express and receive feedback to the overall team.
  • Independent work is definitely expected but that’s a different kind of work from team work.
  • Self-motivated, but we understand that at times you will need outside motivators, communication is the key to our team.
  • High speed information is the environment you’ll be in, so you’ll want to be highly collaborative and communicative. Thinking fast and slow.
  • Be comfortable sharing your opinion and data behind it to both technical and non technical team members.
  • Grow, literally and figuratively, everyday should be a growth day. Not all of it will be positive, if you can't handle down days apply and let's talk about it.

• How you will likely be measured:
  • Conduct (US & International) data studies and provide insight to peers across teams before, during, and after data studies.
  • Ideate and implement ideas for new analytics & machine learning models that provide the team new insights to be better.
  • Support product and engineering teams to aid testing of new product ideas and analyze results to provide actionable recommendations
  • Perform deep analysis and build models to understand customer and product behavior, and extract key insights that impact product & customer decisions.
• Tools you likely carry:
  • Basic understanding of statistical concepts and experience in applying them.
  • Experience in R or python and experience in a scripting language C-shell or Bash.
  • Excellent written, verbal and presentation skills.
  • One to four years work experience in data analysis; 1+ years of experience at a technology, start-up or rapidly scaling company.
  • Working knowledge of basic data science concepts such as:
    • Setting up a supervised modeling problem
    • Evaluating model performance through common metrics such as AUC, GINI, KS, etc.
    • Advantages and disadvantages of various supervised modeling techniques such as Linear Regression/Logistic Regression, Decision Trees, Ensemble Modeling, etc.

If you decide to include a cover letter, please only submit one if you’re writing about what you’re MOST passionate about and why. No more than 3 paragraphs, avoid the fluff. Look forward to seeing your application.

The salary range for this role for Denver, Colorado only is $70,000-88,000. Offered salary will be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

This position is eligible to participate in the annual incentive program.  Prove’s Benefits include but are not limited to:

-Excellent health, dental, and vision insurance that begins on your first day of employment

-401(k) plan with company match

-Unlimited vacation time