Data Analyst at Prove (Formerly Payfone)

| Greater Denver Area
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About Prove 
Prove is the modern platform for continuous identity authentication and is used by over 1,000 enterprises and 500 financial institutions including 7 of the top 10 U.S. banks. Prove’s cloud solutions and mobile intelligence -driven APIs can be easily orchestrated to increase Approve Rates to over 90%, enabling companies to authenticate customer identities accurately, effortlessly, and privately, while mitigating fraud. Prove’s solutions are available in 195 countries. For the latest updates from Prove, follow us on LinkedIn
As we continue to scale our company, we are looking for people who know how to make an impact. We’re talking self-starting professionals who thrive in a fast-paced environment, process information quickly and make intelligent decisions. The work is challenging and requires not only smarts, but natural curiosity and tenacity. Teamwork is also important to us – we work together and play together.
Prove has big plans; we’re excited and optimistic about the future. If this sounds like a career for you – come check us out.
Position Summary
Prove Data Analysts play a critical role in building the next generation of authentication products. You will work closely with the product, sales, and engineering teams to refine 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 authentication platform.

What You Are Accountable For

  • Lead customer Proof of Concepts (PoC), providing valuable insight for sales both before and during the PoC
  • Assist in prototyping new analytics & machine learning models that provide insights to customers as well as enhances our product directly
  • Provide customer consumable communications on complex data problems
  • Work with 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 decisions
  • Synthesize data learnings into compelling stories and communicate to stakeholders
  • Monitor and help refine metrics for product efficacy and customer success
  • Work with the broader data analytics team to find ways to scale our insights through better systems and automation
  • Act as a strategic partner to product and engineering leaders to help prioritize opportunities and inform product strategy

What We Require

  • 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
  • Two 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/Logistic Regression, Decision Trees, Ensemble Modeling, etc
  • > Unsupervised modeling techniques such as K-means, PCA. LDA, etc are a plus
  • Promote, maintain and enhance our cultural values of humility, passion, inclusion and leadership
  • Strong passion for learning our products and markets through in-house and external training
  • Bachelor's degree or a Master’s degree in a technical field

This position description should not be considered the final description of the position. It should be assumed that we would, to some extent, structure responsibilities in accordance with the successful candidate’s capabilities and changing business conditions.
 
Prove is an equal opportunity employer committed to providing equal employment opportunity for all people regardless of race, color, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status or other personal characteristics.

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Technology we use

  • Engineering
    • C++Languages
    • JavaLanguages
    • JavascriptLanguages
    • PythonLanguages
    • RLanguages
    • ScalaLanguages
    • SqlLanguages
    • react Languages
    • AngularJSFrameworks
    • SpringFrameworks
    • AsteriskFrameworks
    • Luigi Frameworks
    • DB2Databases
    • MongoDBDatabases
    • MySQLDatabases
    • OracleDatabases
    • RedisDatabases
    • Dynamo DBDatabases

Location

Our teams are remote at the moment for both our Denver and New York location.

An Insider's view of Prove (Formerly Payfone)

What’s the vibe like in the office?

The vibe is great! Payfone's done a good job hiring people who really fit the company culture, so everyone gets along. It makes it easy to work hard when you know everyone else in the office is equally motivated and working to make the company more successful. Payfone also does a great job hosting events that get everyone together outside of work.

Easton

Implementation Manager

What kinds of technical challenges do you and your team face?

The biggest problem our team is trying to solve is how to serve our current clients while also transitioning them to a more cutting edge tech stack in order to create new innovative products.

Elijah

Director of Software Engineer

How has your career grown since starting at the company?

I'm constantly challenged to think outside the box. The complexity of our products creates an environment where the projects I'm working on require that I switch between several skills from documentation to data analysis and research. It couldn't get any better! I have a wider and deeper understanding of how a tech company operates.

Moses

Product Owner

How do you empower your team to be more creative?

I provide direction when needed, instill self-direction, and team collaboration. If the team identifies a gap in our product I ask the team how they would solve the problem. This enables them to take the initiative and brainstorm. However at the end of the day, we are a team, and team culture and innovation is what drives creativity.

Crystal

Director of Product Management

What makes someone successful on your team?

To be successful on our team you have to be willing to learn, have passion, and be a team player. I'm never afraid of asking questions because my teammates are so supportive and willing to help. We are all working towards a common goal, helping provide the best security and authentication for our clients!

Xian

Software Engineer

What are Prove (Formerly Payfone) Perks + Benefits

Culture
Friends outside of work
Open door policy
Team owned deliverables
Group brainstorming sessions
Open office floor plan
Diversity
Hiring Practices that Promote Diversity
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Prove employees can contribute up to $2700 annually to their FSA.
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Mental Health Benefits
Retirement & Stock Options Benefits
401(K)
401(K) Matching
Prove provides employees with a 401(k) matching plan managed by Principal.
Employee Stock Purchase Plan
Performance Bonus
Child Care & Parental Leave Benefits
Flexible Work Schedule
Vacation & Time Off Benefits
Generous PTO
Paid Holidays
Perks & Discounts
Casual Dress
Commuter Benefits
Company Outings
Stocked Kitchen
Some Meals Provided
Happy Hours
Relocation Assistance
Professional Development Benefits
Diversity Program
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