Data Scientist, Marketing Analytics

Austin, TX (Unknown)

Salary Not AvailableMid LevelFull time

Posted 5 weeks ago

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Job Summary

Own the data driven marketing analytics stack with ownership of attribution, ROI, funnel analysis, and data storytelling for marketing leadership; drive spend optimization across channels; run experiments; partner with data engineers to connect marketing data with sales and product data; and translate insights into clear actions for non technical stakeholders.

  • Ownership: attribution, ROI, funnel analysis to guide marketing decisions.
  • Experimentation: design and read tests with appropriate stats and clear conclusions.
  • Storytelling and collaboration: translate insights for leaders and ensure decisions survive handoffs.

Job Description

  • Drive marketing decisions with analysis. Own attribution, ROI, conversion, and funnel analysis. Diagnose drops and anomalies, quantify what drives them, and translate findings into clear recommendations for marketing leaders.
  • Optimize marketing spend. Connect spend to outcomes across channels and campaigns, and advise on where to invest, cut, or test next.
  • Be proactive. Explore and correlate data to surface insights nobody asked for. Anticipate the next question. Bring opportunities to the marketing team rather than waiting for requests.
  • Run experiments. Design and read out A/B tests and other experiments, applying sound statistical methods and being honest about significance and causality.
  • Partner on the data foundation. Work with Data Engineers and Analytics Engineers to get marketing data into the warehouse and modeled. Define requirements, explore raw data, and contribute to data models that connect marketing data with sales and product data.
  • Tell the story. Communicate insights so non-technical stakeholders can act, and document context, caveats, and decisions so the work survives handoffs.
  • Strong analytical track record: someone who has measurably influenced business or marketing decisions through analysis, not just produced reports.
  • Comfort with the latest AI tools, and a habit of using them to work faster and sharper: exploring data, writing and debugging code, drafting analysis, and accelerating insight.
  • Eagerness to develop: you actively grow your skills, seek feedback, and treat new tools and methods as opportunities rather than threats.
  • Solid SQL. You can independently query, join, and explore data without waiting for someone to prepare it for you.
  • Proficiency in Python for analysis, modeling, and automation.
  • Statistical foundation: experimentation, significance testing, regression, segmentation, forecasting, and the judgment to know which applies.
  • Working knowledge of marketing and GTM data: channels, campaigns, attribution models, funnel and conversion metrics, and the realities of joining marketing data to CRM/sales and product usage data.
  • Willingness to get hands-on with data modeling. You don't need to be a dbt expert, but you must be comfortable exploring messy data and partnering on (or building) the models you need rather than waiting for clean tables.
  • Strong communication and stakeholder skills: you can challenge weak measurement respectfully and make a recommendation, not just present options.
  • Proactivity and autonomy: you raise your hand early, plan your own work, and look for impact without being asked.
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Sonar

3.2 Glassdoor

Sonar helps prevent code quality and security issues from reaching production, amplifies developers' productivity in concert with AI assistants, and improves the developer experience with streamlined workflows. Sonar analyzes all code, regardless of who writes it—your internal team or genAI—resulting in more secure, reliable, and maintainable software. Rooted in the open-source community, Sonar’s solutions support over 30 programming languages, frameworks, and infrastructure technologies. Trusted by more than 400,000 organizations and 7 million developers globally, Sonar is considered integral to delivering better software.

Founded in 2008
Vernier, Geneva, CHE
874 employees (57 in marketing)
44% recommend to a friend
76% CEO approval

Traffic Signals

Monthly Visitors
1.2M
Monthly Google Ads Budget
$46.4K
Traffic Source Mix
Search
53.6%
Direct
33.1%
Referral
9.9%
Social
1.5%
Paid
1.9%

Headcount Trend

Current headcount: ~880

Marketing Team

Marketing Team Size
42 (5% of company)
Marketing Roles Posted (Last 30 Days)
1

Funding

Total Funding
$457M
Last Raise
$412M
Series B, 4 years ago

Funding History

  • Apr 2022
    Series B • $412M
  • Nov 2016
    Series Unknown • $45M

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