Sparteo

Head of Data Analytics

Remote, United States remote Entry Salary not listed
remote Technology & IT Curated
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About the role

Sparteo is an independent suite of AI-powered advertising technologies built on sustainable, sovereign infrastructure.
Since 2018, we’ve been reshaping programmatic advertising to make it faster, more transparent, and more profitable by building the most direct path between publishers and advertisers.
But we don't stop here: wherever attention lives, on the web, in apps, on CTV, and beyond, our mission is to monetize audiences, across every device. Our data-driven tech delivers 30% higher revenues for our clients on average than traditional solutions.
Our Solutions:
→ Actirise: the display tech designed for performance
→ FastCMP: the consent management platform specifically designed for business purposes
→ Meetscale: the most advanced SSP for Publishers and Ad Networks
→ Viously: the ultimate all-in-one video tech solution
→ Voxeus: the audio distribution and monetization technology
Behind Sparteo’s growth is a team of 100+ talents across 11 countries, united by a shared ambition to redefine the future of digital advertising.
Our dedication has placed Sparteo among the most dynamic tech players in Europe:
FT1000 ranking – Among the fastest-growing European companies in 2024 & 2025

The Europas – Featured in the list of 100 hottest startups

Pixalate Ranking – #1 Web SSP in France with our Actirise solution, overtaking Google AdExchange

These milestones are just the result. What truly sets us apart is how we work: at Sparteo, we don’t settle, we act.
We are Drivers, not passengers: We take the wheel and own our results.

We are data-obsessed: Facts guide us, not assumptions, not egos.

We think as one: Collective goals come before personal wins.

We trade off: We simplify, prioritize, and go for high-impact results.

We solve problems: We own challenges and turn ideas into action.

We say what we do: Radical transparency is how we grow, no fluff, no hiding

Discover our journey, products, and culture on 👉 our website 👈
Your Job
As our Head of Data Analytics, your mission is to be the strategic bridge between Sparteo’s complex data and our high-stakes business decisions. You will transform raw data into actionable intelligence, ensuring our BI unit delivers the insights needed to fuel our growth. You will lead the transition from technical data management to revenue-generating strategy, bridging the gap between deep analytics and executive-level steering.
Your Responsibilities
Business Intelligence Leadership
Strategy: Lead the BI and Analytics strategy, ensuring data infrastructure and analysis directly support business growth.

Strategic Partnering: Act as a VIP-level partner to the executive team and Finance, translating complex data into revenue-generating strategies.

Stakeholder Communication: Serve as the primary point of contact for external stakeholders and investors (Raise) regarding data performance, accuracy, and availability.

Reporting & Data Governance
Haute Fidélité: Guarantee the absolute accuracy of the data warehouse and dashboards to provide a "single version of the truth" for company steering.

Excellence: Supervise and mentor the analytics team to ensure excellence in dashboarding and reporting.

Experimentation & Automation
Methodology: Experience designing and measuring experiments, including A/B tests, switchback tests, and inference-based measurement methodologies.

AI Mindset: Identify opportunities to integrate intelligent solutions into your workflows, turning complex manual processes into autonomous, scalable systems (automation-first mindset).

Your profile for this job
Experience: Proven experience at a Director level in Business Intelligence or Data Analytics.

Adtech DNA: Strong business acumen with the ability to understand and optimize Adtech monetization mechanics.

Technical Mastery: Expert command of SQL and data warehousing technologies, with hands-on experience in Column-oriented databases. Familiarity with modern BI tools (Lightdash, Grafana, or Superset) is a plus.

Experimentation & Causal Inference: Experience designing and measuring experiments, including A/B tests, switchback tests, and inference-based measurement methodologies.

AI & Innovation (Nice to have): Interest or hands-on experience leveraging Generative AI tools in daily workflows to boost productivity and innovation.

Communication: Excellent communication skills to bridge the gap between technical data and executive/financial strategy.

Education:Advanced degree in a quantitative field (Mathematics, Statistics, or Business/Finance).

Your mind set to share our adventure
🚀 You want to make an impact and move things forward collectively. Does hearing phrases like "Yes, but we've been doing it this way for years..." make your hair stand on end? We feel the same way: progress is made by questioning what already exists.

🧠 You solve problems pragmatically and analytically.

🏃‍♂️ You're looking for a fast-moving environment where your agility will be an asset. The 80-20 (Pareto) principle holds no secrets for you.

🎧 Your ability to listen encourages you to challenge and improve yourself on an ongoing basis.

Benefits & Work Environment
🌍 Dynamic Remote Culture: At Sparteo, we embrace a flexible work environment that adapts to your lifestyle, allowing you to contribute from wherever you feel most productive, be it from home or our urban offices in Paris, Lille, or London.

👥 Close-knit Team: Be part of our dynamic and united team, where collaboration, innovation, and mutual support drive our collective success and create a thriving work environment.

🎉 Vibrant Social Events: Engage in regular social gatherings and company events that foster community and celebrate our milestones.

🚀 Rapid Growth: Experience the excitement of working with a company in rapid expansion mode, impacting the advertising technology landscape across Europe and beyond.

📈 Tailored Support: We provide robust career development support, including training programs, career check-ins with HR, opportunities for internal mobility, and performance feedback sessions conducted quarterly or semi-annually, depending on your role.

🌴 RTT Days: We support work-life balance with additional rest days (RTT), provided based on position and tenure, empowering you to recharge and enjoy life outside of work.

🩺 Comprehensive Health and pension plans: We provide a robust health benefits plan, ensuring you and your family are covered and cared for.

💼 Additional Perks:
🍽️ Benefit from the Swile card for meals.

🚆 Partial reimbursement of public transit passes.

Ready to join Team Sparteo? Send us your CV and continue the recruitment process!
Here are the stages in our recruitment process
Discussions about your driving forces, your ambitions and our Sparteo mindset will be held with a member of our Talent Acquisition team.

Analytical and business logic tests

Discussions with one or more members of the Sparteo team, including your future manager

Taking up references

Our recruitment process is mainly conducted by videoconference; however, certain stages may require a face-to-face meeting.
Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role
Technology & IT Data Analysis Finance Human Resources MySQL Remote Collaboration remote

Likely questions

  1. Tell us about work you have done that is close to the Head of Data Analytics role.
  2. How would you approach your first 30 days at Sparteo?
  3. Which of Data Analysis, Finance and Human Resources have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Finance and Human Resources.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Head of Data Analytics role because I can bring practical experience in Data Analysis, Finance and Human Resources, learn the team quickly, and contribute to the outcomes Sparteo needs from this hire.

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