Data Operations Analyst (m/f/d)
Intro
About Adsquare
Adsquare's mission is centered on:
- Passion: Solving complex challenges with exceptional people, technology, and data.
- Niche: Specializing in Location Intelligence for Programmatic Advertisers.
Our work is guided by our core values, and we look for candidates who embody them:
- Drive: Turning ambition into action that brings valuable outcomes.
- Resilience: Adapting, persevering, and growing stronger through challenges.
- No BS: Upholding honesty, transparency, and clear communication.
- Humble: Valuing modesty and letting results speak for themselves.
- Moral Compass: Acting with fairness, integrity, and respect.
About the team
We are looking for a highly technical Data Analyst who operates at the intersection of Data Analysis and Data Engineering. This role is not for someone who only wants to build and maintain dashboards. You approach workflows with an automation-first mindset, genuinely excited about using workflow automation tools and AI to eliminate toil and scale operations efficiently. You are a proactive problem solver-you do not wait for inefficiencies to be assigned, but actively hunt for bottlenecks and build scalable solutions.Your Mission
Operational Execution & Automation: Design and deploy automation workflows using modern cloud infrastructure and AI tools to persistently reduce manual work and resolve system bottlenecks.
Data Quality & Reliability: Ensure data meets strict standards for accuracy, compliance, and freshness by implementing and refining robust monitoring and alerting systems.
Project Ownership & Delivery: Own data projects from inception to delivery, mapping dependencies and managing priorities alongside Engineering, Product, and Partnerships.
Data Distribution & Integrations: Coordinate the rollout of taxonomy updates and data packages, ensuring seamless data syndication across external platforms.
Requirement Translation & Storytelling: Translate complex data and usage trends into clear, actionable visualizations and strategic insights for both technical and commercial audiences.
Your Profile
2+ years of experience in Data Analytics or Data Engineering.
Proficiency in SQL, Python, dbt, ELT workflows, and cloud data infrastructure (AWS, GCP, Snowflake, etc.).
Experience with data orchestration and automation tools (e.g., Dagster, Prefect, Airflow, or n8n) to schedule and monitor pipelines.
Strong knowledge of working with and integrating APIs (experience with tools like dlt or Airbyte is a plus).
Proven experience leveraging Agentic coding tools to efficiently plan, architect, and implement solutions.
Experience building clear, actionable dashboards with a focus on modern or open-source BI tools (e.g., Metabase, Preset, Streamlit, Tableau, Power BI).
Experience with data monitoring, quality control, and ensuring pipeline accuracy.
Strong project management skills with the ability to scope work packages and align cross-functional stakeholders.
Nice to Have
Familiarity with AdTech and programmatic advertising (DSPs, audience segmentation, taxonomy).
B.S. or M.S. in Computer Science, Engineering, Mathematics, or a related field.
Why us?
At Adsquare, you will work at the cutting edge of data science and machine learning in a dynamic, value-driven environment. We are committed to our team's growth, empower you to challenge the status quo, and offer a platform where your contributions directly shape the future of location intelligence for programmatic advertisers.
If you are passionate about leveraging data science to drive innovation, eager to contribute to a talented team, and committed to our core values, we encourage you to apply.
On top of a competitive package…
- We are open to flexible work models : we work on a hybrid model
- To encourage education and professional growth, we offer an individual yearly budget of 1.200€
- You are entitled to 30 vacation days per year
- We offer Urban Sports Club membership, company pension scheme
- Regular team events and company events organised by our People team (Trust us, they know how to throw a party!)
- We equip you with the latest hardware and provide you with all the tools you need to thrive
Apply Now!
Salary Range (Annual On-Target Earnings)
50,000 - 65,000Recruiting Process
Step 1: Value-based interview (30 mins).
Step 2: Deep-dive technical interview (1.5 hours) with the Data team.
Step 3: Practical data-crunching challenge.
Step 4: Team Meet & Greet - the final step to ensure we're a great fit for each other.