Analytics Engineer – Data Science/ Analytics

HI, WE'RE JOHNNIE-O. IT'S GREAT TO MEET YOU!

We were born in LA and happily live at the intersection of Northeast tradition, Midwest Grit and a SoCal, laid back lifestyle. Since our start in 2005, our founder, John O’Donnell saw the unique opportunity to reinterpret classic pieces by adding a fresh look and “why not” twist that has been a hallmark of johnnie-O.

We call this “Top Spin” and by adding just the right touch to styling, materials and craftsmanship we’ve been able to elevate classic menswear. What started with a fresh take on the quintessential polo has evolved into an enduring lifestyle brand for men, women and boys that includes woven shirts, pants, shorts, sportscoats, outerwear, swimwear, footwear, and accessories. You can see our iconic, surfer dude logo working hard and playing hard from the office to the beach, golf course to cook out and hangin’ out at all moments in between.

COME JOIN US!

Johnnie-O is looking for an outstanding Analytics Engineer to join our data team! As part of our growing data team, you will have a central role in developing our data infrastructure and capabilities. Your work will emphasize data activation, advanced analytics, and scalable data practices. You’ll have opportunities to build and refine algorithms, support data science projects, and collaborate closely with every department—from Marketing and Sales to Operations and Finance. We value individuals who proactively drive solutions, communicate effectively, and consistently seek to improve. Experience working with our data stack and related tools is essential, and familiarity with eComm apparel data is a plus. This is a tremendous opportunity to shape our data operations, drive meaningful insights, and help Johnnie-O continue growing.

WHAT YOU'LL DO

Data Science / Analytics:

• Inform marketing & operational strategies by defining, refining, and maintaining core metrics for key initiatives.
• Develop customer segmentation models that leverage machine learning techniques to identify high-value segments, understand behaviors, and guide personalized marketing strategies.
• Build predictive algorithms to forecast trends, customer lifetime value, and demand, enabling proactive decision-making and strategic resource allocation.
• Deliver ad-hoc analysis, automated dashboards, and self-service reporting tools to surface key insights to stakeholders.
• Drive the team’s analysis roadmap, ensuring we prioritize high-value projects and consistently deliver actionable insights.
• Tackle complex and ambiguous analytic projects, weigh trade-offs between speed and quality, and route work appropriately.
• Advocate for best practices to ensure sustainable, scalable, and quality-driven data processes.
• Translate ambiguous business questions into quantifiable, data-driven approaches.

Data Architecture:

• Develop and maintain well-structured data models using DBT, ensuring a single source of truth in our Data Warehouse.
• Collaborate with cross-functional team leads to design and optimize data models and database structures.
• Work on data warehousing solutions, such as Azure Data Factory (ADF), Snowflake, etc.
• Implement best practices for coding standards, code reviews, and modular design to produce clean, maintainable, and testable data transformations.

Collaboration:

• Partner with team leads, and business stakeholders to build a best-in-class data ecosystem that powers enhanced business analytics capabilities.
• Support data consumers by providing access to reliable, well-organized datasets.
• Offer training sessions, documentation, and hands-on guidance to empower non-technical stakeholders to confidently utilize analytics tools and derive actionable insights.

Documentation:

• Establish and maintain comprehensive documentation for all data assets, including data models, pipelines, transformations, and business logic.

• Create and maintain a data dictionary that defines key metrics, data elements, and transformations, ensuring consistency across the organization.
• Develop onboarding materials, style guides, and best-practice guidelines to empower both technical and non-technical team members to access and interpret data confidently.
• Regularly review and update documentation as data requirements evolve, ensuring that it remains accurate, accessible, and user-friendly.

WHAT YOU BRING

Skills/Qualifications:

• Proven experience (2+ years) as a Data Scientist, Analytics Engineer, Data Engineer, or similar role.
• Strong proficiency with our data stack Snowflake, DBT, Segment, Power BI, Fivetran, Azure Data Factory (ADF), and the Microsoft Suite.
• Proficient in Python (Pandas, NumPy, etc.) and SQL.
• Experience with data pipeline orchestration tools (e.g., Airflow).
• Familiarity with cloud platforms (e.g., Azure, Snowflake) and associated data services.
• Experience with version control systems (e.g., Git) for managing code, collaborating on projects, and maintaining high-quality, reusable codebases.
• Excellent problem-solving, communication, and organizational skills.
• Ability to work independently as well as collaboratively across functional teams.
• Self-motivated with a strong desire to learn, adapt, and continuously improve.
• Demonstrated ability to execute efficiently and effectively.

Additional Pluses:

• Familiarity with agile methodologies (Jira), domain-driven design, ERP data models, GA4 data, Shopify, and broader e-commerce retail data.

Compensation & Benefits:

• Competitive salary range of $110,000 - $160,000, plus discretionary bonus opportunities.
• Health, Dental, Vision, Short-Term disability insurance, 401K, FSA, and Life Insurance benefits.
• Paid time off and paid holidays.
• Employee discounts.

Aside from a fun and unique working environment, Johnnie-O offers a challenging career coupled with a competitive compensation and benefits package. We value our employees’ time and efforts. Our commitment to your success is enhanced by our

competitive compensation and extensive benefits package, including health, dental, vision insurance, life insurance, short-term disability insurance, flexible spending accounts, a generous time off policy including vacation, paid sick time, a retirement savings plan, discretionary bonus opportunities, and a generous employee discount. Casual dress policy, potential career growth and a family-oriented working environment.

To Apply: Please send your resume to: Ricardo@johnnie-O.com

We appreciate your interest in our company and look forward to hearing from you!