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Data Analyst
Prove Denver, CO
Full Time | Business Services 6 Months Ago
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Prove is Hiring a Data Analyst Near Denver, CO

As a Prove Data Analyst you’ll be analyzing data that are generated from our authentication APIs and present your analysis to the respective stakeholders. You’ll work closely with sales, customer success, and product teams to lead customer & internal data studies to provide insights and educate on our state-of-the-art frictionless authentication platform. You’ll work in a fast-paced and collaborative environment to build the next generation of authentication products.

What you’ll be doing:

  • Lead customer data studies, providing valuable insight to Sales & Customer Success teams both during pre & post sale.
  • Synthesize data learnings into compelling stories and communicate to stakeholders.
  • Monitor and help refine metrics for product efficacy and customer success.
  • Assist in prototyping new analytics & machine learning models that improve both our insights and the product directly.
  • 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.
  • Work with the broader Data 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 look for in you:

  • Demonstrate our core cultural values: clear communication, team player, continuous learning, and efficient execution.
  • Experience in R or Python.
  • Enjoy solving mysteries, have a desire to explore unknowns and act with little information.
  • Be able to independently create plans for analytics projects.
  • Confidently ask questions and share opinions without concern of being wrong or in the minority.
  • Be comfortable sharing your analysis to both technical and non-technical stakeholders.
  • A desire to continuously grow and learn.
  • A desire to work in a high speed information environment that encourages you to be collaborative, communicative, and think fast and slow.
  • Highly team centric with a desire to express and receive feedback to/from the team.
  • Understanding of high level statistical concepts and experience in applying them.
  • Bachelor's Degree or education equivalent with 2 years relevant experience or Masters in related field

Nice To Have:

  • Experience in a scripting language (C-shell or Bash).
  • 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

What We Offer

This information is provided per the Colorado Equal Pay Act. The salary range for this position for Colorado only starts at $70,000/yr. 

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.

Prove’s Benefits include:

  • Excellent health, dental, and vision insurance that begins on your first day of employment
  • 401k plan with company match
  • Stock options
  • Participation in the annual incentive program
  • Unlimited PTO

Job Summary

JOB TYPE

Full Time

INDUSTRY

Business Services

POST DATE

10/01/2022

EXPIRATION DATE

12/16/2022

WEBSITE

payfone.com

HEADQUARTERS

NEW YORK, NY

SIZE

100 - 200

FOUNDED

2008

TYPE

Private

CEO

ROGER DESAI

REVENUE

$50M - $200M

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About PROVE

Payfone develops a SaaS-based platform that offers digital identity authentication solutions for businesses.

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The following is the career advancement route for Data Analyst positions, which can be used as a reference in future career path planning. As a Data Analyst, it can be promoted into senior positions as a Data Analyst IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analyst. You can explore the career advancement for a Data Analyst below and select your interested title to get hiring information.

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If you are interested in becoming a Data Analyst, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Analyst for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Analyst job description and responsibilities

A data analyst also helps the business use the present data to make better business decisions and deliver better services to consumers.

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Their role will be like to work on collaborative, multidisciplinary teams with leaders where they can review and analyze data and to develop the presentation for the data consumption across the organization.

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Data analysts work constantly with stakeholders, fellow colleagues and data suppliers, so good communication skills are essential.

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Many data analysts are required to create presentations of their findings to share with stakeholders and other key members of an organization.

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Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Analyst jobs

Data analysts typically work with existing data to solve defined business problems.

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Data analysts rely on various tools to collect and make sense of their data.

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Banks and financial firms need data analysts for financial reporting and forecasting.

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Data analysts often work directly with more senior data team members like data scientists or data engineers.

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Predictive analysis refers to a data analyst's ability to use data, machine learning and statistical algorithms to predict the likelihood of future outcomes based on previous historical data.

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Step 3: View the best colleges and universities for Data Analyst.

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