Professional Services Analyst - Rockerbox
Professional Services Analyst - Rockerbox
Rockerbox is the source of truth for marketing performance. As part of our scrappy and deeply analytical Professional Services team, you’ll be a core contributor to how we help customers make smarter, data-informed decisions. This role is hands-on, technical, and client-facing—ideal for someone early in their career who wants to grow as both an analyst and a strategic partner to marketers.
You’ll work closely with our Head of Professional Services and other internal stakeholders to design structured marketing tests, analyze results, and present findings to customers. Your days will be split between pulling and cleaning data from Rockerbox’s warehouse, writing code to set up and evaluate tests, and building visualizations and presentations to communicate results. You’ll spend time navigating datasets, solving complex customer problems, and customizing analyses for each unique account.
You won’t be working in a silo—this role is deeply collaborative, and you’ll have exposure to real-world marketing questions and strategies. You’ll also have the opportunity to grow into greater ownership of customer relationships, take on increasingly complex analyses, and build your voice as an advisor. We’re looking for someone with a technical foundation who’s excited to learn, iterate, and have a tangible impact on how marketers understand what’s working.
What You’ll Do
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Own the day-to-day work of designing, executing, and analyzing structured tests for Rockerbox clients
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Write SQL queries to extract and clean data from our warehouse
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Use Python or R to structure experiments and build analysis workflows
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Create and maintain Deepnote workbooks (or similar notebooks) to visualize test progress and results
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Translate findings into clear, actionable presentations for our customers
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Troubleshoot edge cases, data issues, and client-specific nuances
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Occasionally use external data (e.g., Google Analytics) to support an analysis or supplement insights
What You Bring
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1-2 years professional experience in a consulting, data analysis, or similar environment
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Experience writing SQL in a real-world environment (e.g., school projects, internships, or job settings)
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Proficiency in Python and / or R
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Familiarity with BI tools (Looker, Power BI, Tableau, etc.)
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Strong attention to detail, especially when working with incomplete or inconsistent datasets
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A creative approach to problem-solving using data
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Strong written and verbal communication skills—you're comfortable presenting your work
Nice to Haves
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Experience working with ecommerce or marketing data
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Familiarity with GA4 or other client-side analytics platforms
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Prior experience building code notebooks in a platform such as Deepnote or Jupyter
The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV.
The estimated salary range for this role based on the qualifications set forth in the job description is between $54,000 - $92,000. This role will also be eligible for bonus/commission (as applicable), equity, and benefits.
The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, and recognize that the person we hire may be more or less experienced than this job description as posted.
Not-so-fun fact: Research shows that while men apply to jobs when they meet an average of 60% of job criteria, women and other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but you’re not sure that you check every box, apply anyway!
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