Business Data Analyst at Prove (Formerly Payfone)

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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 9 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.

As a Business Data Analyst working in Prove’s Revenue Team, you play a critical role in defining how Prove’s clients use our phone P(ossession), R(eputation), O(wnership) solutions. Under the direction of the VP Solutions Delivery, and in partnership with the revenue and data science teams, you will analyze and interpret the results of client data studies; and then make recommendations based on your analysis to show clients how they may use Prove products to solve for their unique customer experience, fraud, identity verification, or consumer authentication challenges.

With your data analysis skills, you will play a pivotal role in evaluating proof of concept results and synthesizing keen insights on customer experience challenges, fraud trends, key risk indicators, identity and authentication patterns, approval or rejection reasons, etc. You will apply your findings to suggest improvements to the prospect’s current operational process(es) utilizing Prove solutions to solve for their pain points.  

You will work closely with the Sales Directors to build and present your findings and recommendations in a manner that helps our clients understand the quantitative benefit from using Prove solutions; including improvement in approvals, cost reduction, fraud capture, revenue gains and process improvement.  Where applicable, you will help prospective clients redesign their current process to either replace or complement incumbent solutions with Prove solutions.

In addition, based on your analysis and findings, you will work closely with the Product and Engineering teams to make recommendations that improve Prove products and directly impact customer experiences. You will therefore play a pivotal role in shaping the future of identity verification and help us achieve our mission of creating a modern, state-of-the-art frictionless identity and authentication platform.

What You Are Accountable For

  • Work with the respective Sales Director to understand a prospect’s unique business problems, use cases, and current gaps; as a result, assist in driving the proof of concept design and execution to yield deeper insight into these issues
  • Work with the Data Science Team to communicate the proof of concept (POC) design and client expectations from Prove Solutions 
  • Analyze and interpret  the results of the PoC to demonstrate the problem areas and gaps with a prospect’s current process and how Prove’s solutions meet or exceed the stated prospect’s objectives 
  • Work with the Sales Director to provide customer consumable communication which advises clear data driven recommendations on how and where Prove solutions can be applied to achieve objectives
  • Synthesize data learnings into a compelling (re)design of a prospective client’s current process showing how Prove solutions may replace or complement incumbent solutions
  • Assist in prototyping new analytics and machine learning models to understand customer and product behavior; and extract key insights that impact product decisions
  • Work with our Product and Engineering teams to aid in the testing of new product ideas; and analyze the results to provide actionable recommendations that inform product strategy

Required Education & Experience

  • Minimum of 3 years of work experience in data analysis; which includes at least 1 year of experience at a technology start-up or rapidly scaling company
  • Solid understanding of statistical concepts and experience in applying them to solve business problems
  • Experience in R or Python and experience in a scripting language (C-shell or Bash)
  • Working knowledge of 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
  • Excellent written, verbal and presentation skills
  • Cultural values of humility, passion, inclusion and leadership
  • Bachelor's degree or a Master’s degree in a technical field.
The salary range for this role for Denver, Colorado only is $60,000-100,000. 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 
 
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
  • Sales & Marketing
    • C++Languages
    • JavaLanguages
    • JavascriptLanguages
    • PythonLanguages
    • RLanguages
    • ScalaLanguages
    • SqlLanguages
    • AsteriskLanguages
    • LuigiLanguages
    • ReactLibraries
    • AngularJSFrameworks
    • SpringFrameworks
    • AsteriskFrameworks
    • MySQLDatabases
    • Dynamo DBDatabases
    • SalesforceCRM

Location

Our teams are currently working remotely at the moment for both our Denver and New York locations.

An Insider's view of Prove (Formerly Payfone)

How does your team reward individual success?

When a team member does well, she/he is given even more responsibility and opportunities to demonstrate leadership. We also share success stories with the wider team over Slack and toast to wins in virtual happy hours.

Mitul

Director of Product Management

What does your typical day look like?

I am responsible for overseeing and coordinating the candidate experience concentrated particularly on the sales and business development departments. This includes making sure we make the candidate experience as seamless as possible by scheduling and being a vessel of unequivocal communication during their interviewing process.

Danellie

Talent Aquistion Coordinator

What are some things you learned at the company?

I've learned how to ask for help, take risks, and lead with confidence. Prove's culture has given me the space to be creative and able to chart my own path.

Ken

Product Marketing Manager

How do you empower your team to be more creative?

I conduct weekly one-on-ones with everyone on my team. I always ask about how we can be more effective as a team/organization. I want them to feel that they have a voice and input in how we can be efficient.

Michele

Vice President of Sales

What makes someone successful on your team?

Success in the Revenue organization starts with an insatiable pursuit of knowledge to truly understand our customer's specific goals and the obstacles to exceeding those goals. Our path to success is our customer’s success, if we don’t start with seeking an understanding of walking in their shoes, we’ve missed an opportunity to be a valued partner.

Kathleen

Chief Revenue Officer

What are Prove (Formerly Payfone) Perks + Benefits

Prove (Formerly Payfone) Benefits Overview

We offer a wide range of compensation & benefits programs that support Provers and their loved ones.

Culture
Partners with Nonprofits
Friends outside of work
Eat lunch together
Intracompany committees
Daily sync
Open door policy
Team owned deliverables
Team based strategic planning
Group brainstorming sessions
Pair programming
Open office floor plan
Diversity
Dedicated Diversity/Inclusion Staff
Highly diverse management team
Hiring Practices that Promote Diversity
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Wellness Programs
Team workouts
Mental Health Benefits
Retirement & Stock Options Benefits
401(K)
401(K) Matching
Company Equity
Performance Bonus
Match charitable contributions
Child Care & Parental Leave Benefits
Generous Parental Leave
Flexible Work Schedule
Family Medical Leave
Adoption Assistance
Vacation & Time Off Benefits
Unlimited Vacation Policy
Generous PTO
Paid Volunteer Time
Paid Holidays
Paid Sick Days
Perks & Discounts
Beer on Tap
Casual Dress
Commuter Benefits
Company Outings
Free Daily Meals
Stocked Kitchen
Some Meals Provided
Happy Hours
Relocation Assistance
Fitness Subsidies
Home Office Stipend for Remote Employees
Professional Development Benefits
Job Training & Conferences
Tuition Reimbursement
Lunch and learns
Cross functional training encouraged
Promote from within
Continuing Education stipend
Time allotted for learning
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