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 Data Analyst, Risk User Experience at Stripe

Data Analyst, Risk User Experience

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Stripe

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Posted on: 
October 19, 2023
Status: 
Expired
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Summary of the Data Analyst, Risk User Experience job at Stripe

Stripe is hiring a Data Analyst, Risk User Experience with 3 - 5 years of experience. Based in United States - Remote and with Remote ways of working. The expected salary range for this role is $148,941 - $201,509
About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Headquartered in San Francisco and Dublin, the company aims to increase the GDP of the internet.

Data Analyst, Risk User Experience job description

Within Stripe, Risk is a dynamic space where we face ever-evolving challenges. Effective risk management plays a critical role in Stripe’s financial and partnership success. At the same time, we put users first and we want to continuously improve our good merchant user experience. You will be partnering with the Risk product and engineering teams and working with your fellow data analysts, scientists and engineers to measure and forecast our success, ensure high-quality decisions, and point towards future opportunities.

What you'll do

In this role, you own the data, pipelines, metrics, and reports on merchant journeys through risk intervention, conversion, and friction. These data and metrics span across our risk verticals in fraud, credit risk, compliance, and others. You will work closely with partners to extract insights from these data and metrics. You will also work with leaders in our partner teams to use data to identify opportunities and measure progress in customer service and engineering efforts to improve Stripe's risk user experience. Additionally, you will build and improve metrics and dashboards to monitor the performance in this domain.

Responsibilities

You will:

  • Work closely with business, engineering, and customer service partners to translate business requirements to data problems.
  • Own the canonical data for risk user experience and can effectively convert this data into actionable insights.
  • Design, build and maintain data pipelines, metrics and dashboards to improve the availability and visibility of data and insights.
  • Partner with leaders to effectively provide data insights and clearly communicate the context around the data.
  • Partner with product managers, engineering and business partners to initiate and execute analytical projects, including scoping, identifying data source, constructing meaningful metrics and building pipelines and reports.
  • Partner with other data scientists to run A/B experiments to improve our Risk products and improve user experience.
Data Analyst, Risk User Experience job requirements

Minimum Requirements

  • 3+ years experience in Business Intelligence Engineering, Data Engineering, Data Analysis or Data Science roles, building data pipelines and analyzing large datasets to solve problems
  • Bachelor’s degree in a quantitative field like Statistics, Economics, Science or Engineering
  • Proficiency in SQL and Python
  • Strong statistical knowledge
  • Expertise in visualization and using data insights to make recommendations and achieve goals
  • Proven ability to manage and deliver on multiple projects with great attention to detail
  • Ability to clearly communicate results and drive impact. We bias towards actions at Stripe.
  • Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights.

Preferred Qualifications

  • Master’s degree in Mathematics, Statistics, Engineering, or a related technical field.
  • Prior experience at a growth stage internet or software company.
  • Experience with distributed data frameworks like Hadoop and Spark to write and debug data pipelines.
  • Good understanding of development processes and best practices like engineering standards, code reviews, and testing.
What we offer at Stripe

Hybrid work at Stripe

Our Chicago, Dublin, and Singapore teams spend at least 50% of their time in their local offices. We believe that more in-person interactions will contribute to better results for our employees and Stripe. Increased office time allows for improved collaboration, efficiency, and informal learning opportunities, fostering a stronger community and building our culture. We will apply the insights gained from these initial three locations to continue refining our hybrid approach.

Pay and benefits

The annual US base salary range for this role is $148,941 - $201,509. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.

Apply now

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Average data analyst salary in the Financial industry is $109,304.
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Stripe

Stripe

is hiring

Data Analyst, Risk User Experience

Website:
Posted on: 
December 20, 2024

About Our Company

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Headquartered in San Francisco and Dublin, the company aims to increase the GDP of the internet.

Job Description & Responsibilities

Within Stripe, Risk is a dynamic space where we face ever-evolving challenges. Effective risk management plays a critical role in Stripe’s financial and partnership success. At the same time, we put users first and we want to continuously improve our good merchant user experience. You will be partnering with the Risk product and engineering teams and working with your fellow data analysts, scientists and engineers to measure and forecast our success, ensure high-quality decisions, and point towards future opportunities.

What you'll do

In this role, you own the data, pipelines, metrics, and reports on merchant journeys through risk intervention, conversion, and friction. These data and metrics span across our risk verticals in fraud, credit risk, compliance, and others. You will work closely with partners to extract insights from these data and metrics. You will also work with leaders in our partner teams to use data to identify opportunities and measure progress in customer service and engineering efforts to improve Stripe's risk user experience. Additionally, you will build and improve metrics and dashboards to monitor the performance in this domain.

Responsibilities

You will:

  • Work closely with business, engineering, and customer service partners to translate business requirements to data problems.
  • Own the canonical data for risk user experience and can effectively convert this data into actionable insights.
  • Design, build and maintain data pipelines, metrics and dashboards to improve the availability and visibility of data and insights.
  • Partner with leaders to effectively provide data insights and clearly communicate the context around the data.
  • Partner with product managers, engineering and business partners to initiate and execute analytical projects, including scoping, identifying data source, constructing meaningful metrics and building pipelines and reports.
  • Partner with other data scientists to run A/B experiments to improve our Risk products and improve user experience.

Requirements

Minimum Requirements

  • 3+ years experience in Business Intelligence Engineering, Data Engineering, Data Analysis or Data Science roles, building data pipelines and analyzing large datasets to solve problems
  • Bachelor’s degree in a quantitative field like Statistics, Economics, Science or Engineering
  • Proficiency in SQL and Python
  • Strong statistical knowledge
  • Expertise in visualization and using data insights to make recommendations and achieve goals
  • Proven ability to manage and deliver on multiple projects with great attention to detail
  • Ability to clearly communicate results and drive impact. We bias towards actions at Stripe.
  • Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights.

Preferred Qualifications

  • Master’s degree in Mathematics, Statistics, Engineering, or a related technical field.
  • Prior experience at a growth stage internet or software company.
  • Experience with distributed data frameworks like Hadoop and Spark to write and debug data pipelines.
  • Good understanding of development processes and best practices like engineering standards, code reviews, and testing.

What we offer

Hybrid work at Stripe

Our Chicago, Dublin, and Singapore teams spend at least 50% of their time in their local offices. We believe that more in-person interactions will contribute to better results for our employees and Stripe. Increased office time allows for improved collaboration, efficiency, and informal learning opportunities, fostering a stronger community and building our culture. We will apply the insights gained from these initial three locations to continue refining our hybrid approach.

Pay and benefits

The annual US base salary range for this role is $148,941 - $201,509. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.

Apply now
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