Customer Data Analyst

Customer Data Analyst

Bonobos

Columbus, OH • On-site

Other

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Bonobos rating

8.3

Company rating: 8.3 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

Customer Data Analyst

The Customer Data Analyst plays a critical role in understanding and improving the health of our customer file across new and existing customers. This specialist-level role focuses on analyzing customer KPIs, identifying trends in acquisition, retention, and reactivation, and evaluating the impact of product, shopping experience and marketing performance on customer behavior. This role partners closely with Marketing, Digital Media, E-Commerce, and Technology teams to translate complex data into clear, actionable reporting that drives smarter decisions and measurable business impact.

Customer File Analytics & KPI Reporting

  • Analyze and report on core customer file KPIs, including acquisition, retention, reactivation, frequency, spend, and lifetime value.
  • Perform deep-dive analysis to understand the drivers behind customer trends and performance changes.
  • Monitor customer file health over time, identifying risks and opportunities tied to product, channel, and marketing performance.

Marketing & Product Performance Analysis

  • Evaluate the effectiveness of marketing campaigns and product initiatives as they relate to customer growth and loyalty.
  • Partner with Digital Marketing to support ecommerce and marketing analytics.
  • Assist in identifying opportunities to improve marketing ROI and customer engagement through data-driven insights.

Reporting, Dashboards & Storytelling

  • Develop and maintain dashboards and reporting tools to track customer and marketing performance.
  • Translate complex datasets into clear, actionable insights for marketing, merchandising, and leadership teams.
  • Support the development of standardized reporting frameworks and recurring performance readouts.

Data Integrity & Collaboration

  • Partner with Technology and Platform teams to maintain the customer database, ensuring accuracy, consistency, and growth across online and offline channels.
  • Ensure data integrity through validation, cleansing, and ongoing quality checks.
  • Collaborate cross-functionally to support test-and-learn initiatives and continuous improvement.

Required Experience & Qualifications

  • 3-5+ years of experience in data analysis, customer analytics, or marketing analytics.
  • Strong experience working with customer databases and large datasets.
  • Proficiency in data extraction and analysis.
  • Experience with Google Analytics and CRM or marketing automation platforms.
  • Experience with data visualization and BI tools.
  • Advanced Excel skills; familiarity with statistical analysis techniques.
  • Experience in ecommerce or digital-first businesses; fashion retail preferred.
  • Ability to manage multiple workstreams independently in a fast-paced environment.
  • Strong attention to detail with the ability to communicate insights clearly to non-technical stakeholders.
  • Bachelor's degree in Analytics, Data Science, or a related field. MBA or advanced degree a plus.

What Bonobos employees say

Pay

Hours and flexibility

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About Bonobos

Sourced by ZipRecruiter

Bonobos is (proudly) the largest born-on-the-Internet men's apparel company in the US and we're (humbly) seeking to reinvent the traditional eCommerce experience. In addition to our website, we pioneered the eCommerce showroom model with the launch of our first Guideshop location in 2011 and have since expanded to 52 locations across the country (and growing!). Our customers are fanatical about our high-quality clothes and our world-class customer service, and we're positioned to make groundbreaking advances in how customers shop.

Industry

Retail

Company size

11 - 50 Employees

Headquarters location

New York, NY, US

Year founded

2007



Frequently asked questions

Q: What skills or qualities help someone succeed as a Data Analyst?

A: To succeed as a Data Analyst, key technical skills include proficiency in programming languages such as Python or R, expertise in data visualization tools like Tableau or Power BI, and knowledge of statistical analysis and machine learning concepts. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are crucial for presenting insights to stakeholders and working with cross-functional teams. By combining these technical and soft skills, Data Analysts can drive business decisions, identify areas for improvement, and contribute to the growth and success of their organization.

Q: What is the career path for a Data Analyst?

A: A Data Analyst's typical career progression involves starting as an Entry-Level Data Analyst, where they collect, analyze, and interpret data to inform business decisions. As they gain experience, they can move into Mid-Level roles such as Senior Data Analyst or Business Analyst, where they take on more complex projects and lead smaller teams. Ultimately, they can advance to Senior Leadership positions like Data Scientist, Data Manager, or even Director of Analytics, where they oversee large-scale data initiatives and drive strategic business growth.\n\nKey opportunities for skill development and professional growth in this role include learning programming languages like Python or R, mastering data visualization tools like Tableau or Power BI, and staying up-to-date with emerging trends in machine learning and artificial intelligence. Additionally, Data Analysts can develop soft skills like communication, project management, and leadership to excel in their roles.\n\nLong-term career prospects for Data Analysts are diverse, with potential directions including transitioning into related fields like Business Intelligence, Data Engineering, or even becoming a Product Manager, or pursuing advanced degrees in Data Science or related fields to further specialize in areas like machine learning or data engineering.