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Data Analyst

ABOUT THE ROLE

The Enterprise Data Analytics team at Peloton is looking for a passionate and strategic-minded Data Analyst to join our growing team. This person will contribute to key projects that enhance visibility into key enterprise metrics and drive action based on the resulting insights. They will partner closely with teams across the company to understand their problems and design datasets that can provide actionable insights in a scalable and sustainable way. They will communicate findings and implications for stakeholders from various functions. This person will report to the Senior Manager of Analytics.

YOUR DAILY IMPACT AT PELOTON

  • Work with members across the Member Support organization to translate their challenges into innovative data solutions
  • Architect performant, accurate, and scalable data models using dbt and LookML using DRY (don’t repeat yourself) principles
  • Design self-service data products that make datasets accessible and intuitive to a broad group of data consumers
  • Set up tests to ensure data quality, supervise daily job execution, and diagnose/fix issues to ensure SLAs are met with internal stakeholders
  • Identify and investigate emerging trends and anomalies in key performance indicators
  • Balance requests and strategic initiatives to prioritize work based on impact for the business
  • Clearly articulate and communicate findings to stakeholders across functional groups to influence actions and decisions that advance the company’s strategic goals

At Peloton, we’ve invested in a modern data tech stack (Redshift, Airbyte, Airflow, dbt, Looker) and a world-class data team. If you’re passionate about using the best technology and being part of a growing team that values teamwork, proactivity, disciplined decision-making, and knowledge sharing, we’d love to hear from you.

YOU BRING TO PELOTON

  • 3+ years of relevant business intelligence or analytics development experience
  • Experience building Looker data models (LookML), data pipeline management technologies with dependency checking (e.g. Airflow, dbt), schema design, and dimensional data modeling
  • Skilled at finding trends in the data, articulating the “so what,” and translating insights into strategic, actionable recommendations.
  • Ability to anticipate follow-up questions and incorporate them into analysis to address the core problem, not just the direct question.
  • An open and adaptable mindset and a strong team player (no job is too small or too large) and willing to take on additional responsibilities as necessary.
  • Ability to work in a fast-paced, ever-changing environment where priorities are often shifting.
  • Experience creating dashboards and self-service capabilities for stakeholders through reporting tools (Looker, Tableau, etc.)
  • Understanding of SQL, columnar databases, and distributed file systems.
  • Ability to optimize queries and pipelines for efficient performance.
  • Experience building data transformations with dbt or equivalent software
  • Experience applying statistical techniques to understand and quantify the relationships between metrics and differentiate between correlation and causation.
  • Working knowledge of python, especially libraries and packages focused on data processing and analysis

#LI-JC1

#LI-Hybrid

The base salary range represents the low and high end of the anticipated salary range for this position based at our New York City headquarters. The actual base salary offered for this position will depend on numerous factors including individual performance, business objectives, and if the location for the job changes. Our base salary is just one component of Peloton’s competitive total rewards strategy that also includes annual equity awards and an Employee Stock Purchase Plan as well as other region-specific health and welfare benefits.

As an organization, one of our top priorities is to maintain the health and wellbeing for our employees and their family. To achieve this goal, we offer robust and comprehensive benefits including:
- Medical, dental and vision insurance
- Generous paid time off policy
- Short-term and long-term disability
- Access to mental health services
- 401k, tuition reimbursement and student loan paydown plans
- Employee Stock Purchase Plan
- Fertility and adoption support and up to 18 weeks of paid parental leave 
- Child care and family care discounts
- Free access to Peloton Digital App and apparel and product discounts
- Commuter benefits and Citi Bike Discount
- Pet insurance and so much more!
 
Base Salary Range
$82,560$107,360 USD

 

ABOUT PELOTON:

Peloton (NASDAQ: PTON), provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together immersive classes, cutting-edge technology and hardware, and the Peloton App with multiple tiers to personalize the Peloton experience [with or without equipment]. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com.

At Peloton, we motivate the world to live better. “Together We Go Far” means that we are greater than the sum of our parts, stronger collectively when each one of us is at our best. By combining hardware, software, content, retail, apparel, manufacturing, Member support, and so much more, we deliver an exhilarating fitness experience that unlocks our members' greatness. Join our team to unlock yours.

Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law. This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment.  If you would like to request any accommodations from application through to interview, please email: applicantaccommodations@onepeloton.com

Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @onepeloton.com email address. 

If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email applicantaccommodations@onepeloton.com before taking any further action in relation to the correspondence.

Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.

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$82560K
$107360K

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What You Should Know About Data Analyst, Peloton

Are you a data enthusiast looking for an exciting opportunity to make a significant impact? Peloton, known for its innovative approach to fitness, is searching for a talented Data Analyst to join our Enterprise Data Analytics team in New York, New York. In this role, you'll dive deep into key enterprise metrics, translating complex challenges into actionable data solutions that empower various teams across the organization. You'll design smart, scalable data models using tools like dbt and LookML, ensuring our data remains performant and accurate. Your creativity won't be limited here; you'll have the chance to architect self-service data products that are intuitive for users of all backgrounds. Collaborating with diverse teams, you’ll identify trends and anomalies and clearly communicate your findings, influencing decisions that propel our strategic goals forward. If you're passionate about data and thrive in a fast-paced environment, you’ll find a welcoming space at Peloton where teamwork, knowledge sharing, and proactivity are celebrated. Bring your expertise in SQL, data visualization tools like Looker, and an analytical mindset, and let’s shape the future of fitness together!

Frequently Asked Questions (FAQs) for Data Analyst Role at Peloton
What responsibilities does a Data Analyst at Peloton have?

A Data Analyst at Peloton plays a pivotal role in translating complex challenges into innovative data solutions. Key responsibilities include architecting performant data models, designing self-service data products, monitoring data quality, and investigating trends in performance indicators. They also communicate findings effectively to stakeholders, helping influence important business decisions.

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What qualifications are required for the Data Analyst position at Peloton?

To qualify for the Data Analyst role at Peloton, candidates should have a minimum of 3 years of experience in business intelligence or analytics. They should be skilled in building data models using LookML, managing data pipelines, creating dashboards, and optimizing queries. Familiarity with SQL and data transformation tools like dbt is essential, along with strong analytical and communication skills.

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What tools and technologies will a Data Analyst at Peloton use?

As a Data Analyst at Peloton, you will work with a modern data tech stack that includes Redshift, Airflow, dbt, and Looker. Experience using these tools will enable you to architect accurate data models, ensure data quality, and create insightful dashboards for effective decision-making.

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What kind of team environment is there for Data Analysts at Peloton?

Peloton fosters a collaborative and inclusive team environment for Data Analysts. You will work closely with teams from various functions, contributing to strategic initiatives and sharing knowledge. An adaptable mindset and willingness to take on diverse tasks are encouraged, making it a great place for professional growth.

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How does Peloton support the professional development of Data Analysts?

Peloton is committed to the professional development of its Data Analysts by providing access to innovative tools and technologies, encouraging knowledge sharing, and offering opportunities for continuous learning. Additionally, the company provides benefits like tuition reimbursement that further support individual growth within the organization.

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Common Interview Questions for Data Analyst
Can you describe your experience with data modeling and how you applied it in your previous role?

When answering this question, highlight specific projects where you built data models. Discuss the tools you used, the challenges faced, and the outcomes achieved. Show how your data modeling skills contributed to better data insights and decision-making in your previous role.

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How do you ensure data quality in your analyses?

Demonstrate your understanding of data quality assurance by discussing practices like setting up automated testing processes, monitoring data integrity, and collaborating with stakeholders to validate datasets. Sharing a specific example can illustrate your approach effectively.

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What techniques do you use to identify trends in data?

Discuss the statistical techniques and data visualization tools you've used to spot trends. Mention how you interpret these trends and translate them into actionable recommendations, backing up your answer with a specific example if possible.

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How do you handle conflicting data requests from different departments?

Outline your approach to prioritizing data requests based on strategic impact. Share an example where you successfully balanced multiple requests, and explain how you communicated with stakeholders to meet their needs while maintaining project focus.

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Can you give an example of a data visualization project you undertook?

In your response, detail the project’s objective, the tools you used (e.g., Looker or Tableau), and the impact of the visualization on decision-making. Emphasize the process and how you gathered requirements from stakeholders to ensure the visualization met their needs.

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Describe your experience with SQL and how you have used it in previous projects.

When answering, provide examples of how you utilized SQL to analyze data, optimize queries, or create reports. Mention specific challenges you faced and how your SQL expertise helped solve them.

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How do you prioritize your tasks when managing multiple analytics projects?

Explain your methodology for prioritization, such as using impact assessments or deadlines. Mention how you stay organized and communicate with your team to ensure alignment, along with an example of a time when you successfully managed several projects.

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What role does collaboration play in your work as a Data Analyst?

Emphasize the importance of collaboration in gaining insights and validating data interpretations. Provide examples of when working with cross-functional teams led to enhanced data solutions or insights.

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How do you present complex data findings to non-technical stakeholders?

Discuss your approach to simplifying complex data into digestible insights. Mention tools you use or techniques like storytelling that help engage your audience. Providing a scenario where you successfully communicated data findings can enhance your response.

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What motivates you to be a Data Analyst at Peloton?

Share your passion for data and fitness, and explain how Peloton's mission resonates with you. Connect your motivation with the role's impact on improving health and wellness through data-driven insights, demonstrating your alignment with the company's values.

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Full-time, hybrid
DATE POSTED
January 10, 2025

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