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Senior Data Analyst, Growth Product

Chime
Full-time
On-site
San Francisco, California, United States

πŸ“Œ Core Information

πŸ”Ή Job Title: Senior Data Analyst, Growth Product

πŸ”Ή Company: Chime

πŸ”Ή Location: San Francisco, California, United States

πŸ”Ή Job Type: On-site

πŸ”Ή Category: πŸ“ˆ Marketing Analytics, πŸ“Š Marketing Analyst, πŸš€ Growth Marketing

πŸ”Ή Date Posted: Tue Apr 01 2025

πŸ”Ή Experience Level: 5-10 years

πŸ”Ή Remote Status: Hybrid

πŸ“Œ Essential Job Details

πŸš€ Job Overview

Key aspects of this role include:

  • Leading data-driven strategies for top-of-funnel performance.
  • Designing and analyzing experiments to enhance user engagement.
  • Collaborating with cross-functional teams to personalize member experiences.
  • Addressing strategic decisions through deep data analysis and insights.

ASSUMPTION: This role heavily focuses on strategic use of data to drive user engagement and product growth, indicating a need for both technical and strategic skills. This assumption is based on the emphasis on funnel performance and cross-functional collaborations.

πŸ“‹ Key Responsibilities

βœ… Own top-of-funnel product performance and define metrics guiding product decisions.

βœ… Design and analyze conversion and engagement experiments.

βœ… Utilize behavioral segmentation to uncover growth opportunities.

βœ… Collaborate with Product, Design, and Engineering for user experience improvements.

βœ… Advise on product roadmaps and metrics with strategic stakeholders.

βœ… Build partnerships across various departments to drive impact.

βœ… Leverage curiosity and analytical skills to push boundaries and solve problems.

ASSUMPTION: The role requires proactive collaboration and initiative in driving product strategies, inferred from multiple cross-departmental responsibilities and the focus on metrics and strategic advisement.

🎯 Required Qualifications

Education: Not specified, but a degree in a relevant field like Data Science, Statistics, or Economics is likely expected.

Experience: A minimum of 5 years in data-focused roles, with a strong emphasis on growth analytics.

Required Skills:

  • Expertise in SQL and ability to perform complex queries.
  • Experience with product analytics and experimentation, such as A/B testing.
  • Strong skills in BI/Visualization tools like Looker, Tableau, PowerBI.

Preferred Skills:

  • Proficiency in R or Python for data analysis and automation.
  • Experience with third-party web analytics tools like Google Analytics.

ASSUMPTION: The qualifications suggest a strong analytical foundation with an emphasis on data manipulation and visualization, crucial for translating data into actionable insights.

πŸ’° Compensation & Benefits

Salary Range: Not specified, but competitive with industry standards and based on experience, as stated.

Benefits:

  • Hybrid work policy and perks like backup care and commuter benefits.
  • 401k match and comprehensive medical and wellness benefits.
  • Generous parental leave and community involvement incentives.

Working Hours: 40 hours per week, with some flexibility for hybrid work.

ASSUMPTION: The compensation package is designed to attract experienced candidates, offering both monetary and non-monetary benefits, which is a common practice in competitive tech roles.

πŸ“Œ Applicant Insights

πŸ” Company Context

Industry: Financial Services, focusing on leveraging technology to enhance consumer banking experiences.

Company Size: 1,001-5,000 employees, suggesting robust support systems and resources for employees.

Founded: 2012, indicating over a decade of industry presence and innovation.

Company Description:

  • Committed to providing transparent and helpful financial services.
  • Develops user-friendly tools that empower financial control and literacy.
  • Has disrupted traditional banking models with member-centric innovation.

Company Specialties:

  • Financial technology advancements.
  • Member-centric banking solutions.
  • Innovative financial tools and apps.

Company Website: https://www.chime.com/

ASSUMPTION: The company is well-positioned within the financial services industry to leverage technology for consumer financial advancement, based on its innovative approach and growth themes.

πŸ“Š Role Analysis

Career Level: Senior-level, requiring significant experience and leadership in data analysis.

Reporting Structure: Likely reports to a Director or VP of Analytics or Growth.

Work Arrangement: Predominantly in-office with hybrid arrangements to suit role requirements.

Growth Opportunities:

  • Potential to advance to a lead or managerial role within the analytics team.
  • Opportunities to work on high-impact projects affecting product strategy.
  • Continuous learning and development in emerging data technologies.

ASSUMPTION: A senior analyst role like this one typically holds the potential for career advancement into leadership roles within the organization, supported by Chime's growth and innovation focus.

🌍 Location & Work Environment

Office Type: Modern, collaborative office environment indicative of tech-company culture.

Office Location(s): San Francisco with hybrid capacity for some remote work.

Geographic Context:

  • Located in a tech hub providing a vibrant professional ecosystem.
  • Access to diverse networking opportunities within the financial tech sector.
  • Proximity to innovative peers and industry leaders in San Francisco.

Work Schedule: Standard full-time hours with expected flexibility for work-life balance.

ASSUMPTION: Given Chime's innovative and employee-focused culture, the work environment emphasizes collaboration, creativity, and flexibility beneficial for productivity and job satisfaction.

πŸ’Ό Interview & Application Insights

Typical Process:

  • Initial application review through submission portal.
  • Technical interview focusing on SQL and problem-solving.
  • Behavioral interview assessing collaboration and strategic thinking.

Key Assessment Areas:

  • Technical proficiency in data analysis and SQL.
  • Ability to drive data-driven decisions effectively.
  • Communication and collaboration with cross-functional teams.

Application Tips:

  • Highlight experience in growth and analytics in your resume.
  • Prepare examples of past projects demonstrating data-driven impact.
  • Showcase skills in SQL and familiarity with BI tools such as Tableau.

ATS Keywords: Data Analysis, SQL, Product Analytics, Growth Analytics, Experimentation

ASSUMPTION: The application process is likely to be rigorous, focusing on both technical abilities and the ability to integrate data insights into real-world product outcomes, based on industry standards.

πŸ› οΈ Tools & Technologies

  • SQL for querying and analyzing data.
  • R or Python for data automation and deeper analysis.
  • BI tools like Looker and Tableau for visualization.

ASSUMPTION: Given the analytical nature of the role, the use of these tools is necessary for efficient data handling and visualization, aligning with industry practices in data-driven roles.

πŸ‘” Cultural Fit Considerations

Company Values:

  • Member-centric innovation and empowerment.
  • Commitment to integrity and financial progress.
  • A collaborative and diverse team culture.

Work Style:

  • Proactive and data-driven decision-making.
  • Collaborative efforts across multi-functional teams.
  • Continuous curiosity and problem-solving orientation.

Self-Assessment Questions:

  • Am I comfortable leveraging data insights to inform strategic decisions?
  • Do I thrive in an environment focused on collaboration and innovation?
  • Can I effectively manage complex data analytics tasks?

ASSUMPTION: Chime's culture encourages innovation and proactive contributions, which is inferred from its emphasis on growth, collaboration, and member-centric strategies.

⚠️ Potential Challenges

  • Balancing multiple projects with strategic impacts.
  • Maintaining data accuracy and insights in fast-paced environments.
  • Adapting quickly to evolving business needs and technologies.
  • Ensuring seamless end-to-end user experiences driven by data.

ASSUMPTION: These challenges are typical in high-growth tech environments where data analytics play a critical role in product and business strategies.

πŸ“ˆ Similar Roles Comparison

  • More focus on cross-functional team collaboration than a typical data analyst role.
  • Greater emphasis on data-driven strategy formulation and execution.
  • Enhanced role in defining user engagement metrics compared to standard practices.

ASSUMPTION: The comparisons indicate an elevated responsibility in strategic collaboration and insights-driven decisions, broader than traditional data analyst roles.

πŸ“ Sample Projects

  • Developing a data-driven strategy for user activation and retention.
  • Implementing comprehensive A/B testing methodologies to evaluate user experiences.
  • Collaborating on designing metrics to guide top-funnel product decisions.

ASSUMPTION: Sample projects likely involve leveraging data for strategic growth and user engagement, aligning with the role's focus areas.

❓ Key Questions to Ask During Interview

  • What key metrics does Chime prioritize for measuring growth and user engagement?
  • How does the Growth Product team define a successful data-driven project?
  • What challenges does the team currently face with strategic data projects?
  • How does cross-functional collaboration support growth analytics at Chime?
  • What tools and technologies do you plan to integrate into your analytics strategy?

ASSUMPTION: These questions assume a need to understand strategic priorities and collaboration mechanisms central to success in this role.

πŸ“Œ Next Steps for Applicants

To apply for this position:

  • Submit your application through this link
  • Ensure your resume highlights relevant analytics and growth experience.
  • Prepare for technical interviews focusing on SQL and BI tools.
  • Research Chime's market and industry position for informed discussions.
  • Check Chime Applicant Privacy Notice for details on data handling during your application.

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.

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