Data Scientist, Sonar
Marketing Analytics
More information about location
3 days a week in office
Code verification for the AI era
Be an early applicant
Code verification for the AI era
501-1000 employees
Be an early applicant
More information about location
3 days a week in office
501-1000 employees
Company mission
To enable developers and development teams to write clean code and remediate existing code organically, so that they can focus on the work they love and maximize the value they generate for businesses.
Role
Who you are
- 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. You stay current as the tooling evolves and bring new approaches to the team
- 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
What the job involves
- This role is the data team's dedicated analytical partner for Marketing
- Your core job is to turn marketing data into decisions: diagnose what is working and what is not, explain why, and recommend where to spend the next dollar
- You will own marketing attribution, ROI, and conversion analysis end to end, and you will be proactive about it, surfacing findings and opportunities before anyone asks
- You will explore data, form hypotheses, and partner with our Data and Analytics Engineers to shape the models and pipelines you need
- You will help define those models, but your primary measure of success is the quality and impact of your analysis
- This role sits in the Data & Insights team and partners closely with Marketing, IT/Marketing Ops, Data Engineers, Analytics Engineers, and data scientists covering other domains
- 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 hand in hand 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
Salary benchmarks
Our take
It has been reported that bug-prone software costs enterprises close to $3T every year, and with developers now handling higher volumes of code than ever, Sonar’s products automatically ensure that only clean code is embedded when they update software.
The company was founded in Switzerland in 2008, and has become a market leading platform for code quality control. While its first decade was encouraging, the period from 2018 and today has been an astounding period of hyper growth.
It has earned Unicorn status, opened up offices across Europe, as well as in the US and Asia, and counts the likes of NASA, Microsoft, and IBM amongst its customer base. Indeed, the vast majority of the Fortune 100 use Sonar.
With its position at the head of the market established, Sonar is aiming to expand its headcount and continue its momentum, especially in the US and Asia-Pacific, where the tech industry is booming
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Apr 2022
$412m
LATE VC
Nov 2016
$47m
LATE VC
Total funding: $459m
Company benefits
- Flexibility to work from home 2 days a week on Wednesdays and Fridays
- Pension: Sonar UK contributes 50% of the total costs, which amounts to 5% of your gross salary for saving. Employees contribute the other 5%
- Health Insurance: Sonar covers 100% of the employee premiums for medical, dental, and EAP (Employee Assistance Program) plans through BUPA
- Time Off: 28 PTO days, plus additional days based on seniority and circumstances
- Commuting: we will reimburse 60% towards the cost of an annual public transport pass
Company HQ
Vernier, GE
Leadership
Tariq Shaukat
(CEO)Previously a President and Advisor to the CEO/Board of Directors at Bumble. He also spent 4 years at Google as the President of Google Cloud and 4 years at Caesars Entertainment as CCO.
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