Mid-Level Data Analyst, Product

Jobright.ai

San Francisco (CA)

On-site

USD 140,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Medical insurance
Vision insurance
401(k)

Job summary

A financial technology company is seeking a Mid-Level Data Analyst to enhance the banking experience products. The role involves analyzing data, fostering a data-driven culture, and collaborating with cross-functional teams to improve member engagement. The ideal candidate should have strong SQL skills and a background in data analysis, with a focus on producing impactful recommendations.

Qualifications

  • Expertise in SQL to translate business questions.
  • Experience leading experimentation, statistical analysis.
  • Excellent skills in managing stakeholders.

Responsibilities

  • Monitor performance metrics and KPIs.
  • Foster a data-driven culture through storytelling.
  • Partner with teams to guide product development.

Skills

SQL
Data analysis
Statistical analysis
BI/Visualization tools
Stakeholder management

Education

4+ years in data-focused roles
B2C product analytics and FinTech experience

Tools

Looker
Tableau
PowerBI
R
Python

Job description

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Job Summary:

Chime is a financial technology company dedicated to helping individuals achieve financial progress. The Product Analyst will develop, test, launch, and scale member banking experience products, utilizing experimentation and data analysis to provide insights that enhance member engagement and retention.

Responsibilities:

• Keep a pulse on performance metrics and KPIs. You will be positioned to have a view of the business, product, and member base and encouraged to understand and explain trends.

• Foster a data-driven, test-and-learn culture with your passion for telling stories with data - not only surfacing insights but also presenting those insights and recommendations to encourage and inspire change.

• Partner widely with product, engineering, research, and design to translate your insights to guide product development. You’ll use data to help the organization understand how members are interacting with Chime and convert that to business and experience implications.

• Lead experimentation by providing mentorship on how they should be run, defining success metrics and data requirements, evaluating impact, and providing strategic direction.

• Advise roadmap, analysis and metric ideation, and strategic discussions with stakeholders.

• Collaborate with analysts and other functions to help bridge business questions and technical (data / computational) solutions.

Qualifications:

Required:

• 4+ years in data-focused roles (post-internship), building analytical infrastructure and data tools that support a wide audience and facilitate decisions of trade-offs.

• Expertise in SQL - you innately translate business questions to queries, understand the edge cases of joins, and can explore a warehouse to find data most appropriate to the problem.

• Familiarity in R or python - you write reproducible code and have a tendency toward automation.

• Experience leading experimentation, statistical analysis, and sophisticated measurement (e.g. causal inference) E2E to guide decision making.

• Hands-on experience with BI/Visualization tools (Looker, Tableau, PowerBI, etc).

• Experience building metric frameworks to understand user behaviors.

• Ability to think holistically to solve business problems at hand and navigate through ambiguity.

• Excellent stakeholder management skills, with a record of working cross-functionally to achieve results.

• A focus on impact - you don’t stop with just recommendations but ensure to see work through to changing the business.

Preferred:

• B2C product analytics and FinTech experience preferred.

Company:

Chime is a financial technology company that offers mobile banking services. Founded in 2012, the company is headquartered in San Francisco, California, USA, with a team of 1001-5000 employees. The company is currently Public Company. Chime has a track record of offering H1B sponsorships.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Product Management
  • Industries
    Software Development

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Vision insurance

401(k)

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