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Data Operations Analyst (m/f/d)

Posted Oct 03, 2026

Analyze in Job Fit

adsquare GmbH

Berlin

EnglishNo German needed

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Salary in the ad

€43,000 to €61,000

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About this job

Introduction

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.
Join an ambitious company at a genuine inflection point as we're evolving to an AI-powered offline intelligence platform, and this role sits at the centre of that operational shift.
Build and automate workflows that have real business impact; not just maintain what exists.
Work closely with Engineering, Product, and Data leadership, with real visibility into how decisions get made.
Grow fast! We're a small, high-trust team. If you show initiative, you'll get scope quickly.
Be part of a team crazy enough to believe they can change how advertising works in & with the real world.

Your tasks

What you will do

Own Adsquare Data Execution & Automation

Deliver internal data projects, breaking down operational goals into clear work packages and executing against them.

Ensure Adsquare Data is prepared and delivered seamlessly across all partner channels.

Build automation workflows that persistently reduce manual operational work using AI tools where they create real leverage.

Monitor and improve data quality ensuring data is accurate, reliable, and up-to-date.

Anticipate and resolve operational bottlenecks, bringing solutions rather than just surfacing problems.

Optimise Data Distribution & Integrations

Ensure seamless data syndication across DSPs, DMPs, and platforms.
Work with Data Analytics Engineers to automate taxonomy mapping and partner integrations.
Implement monitoring and alerting systems to detect issues before they impact revenue.

Operational Efficiency & Scalability

Analyse partner usage and adoption trends to optimise performance and distribution.
Drive efficiency in package management and taxonomy distribution.
Collaborate with Product and Commercial teams to support pricing and data availability.

Highly passionate about data and data operations, ensuring smooth ingestion, processing, and delivery.
Genuinely excited about AI and automation, not as a buzzword, but as a way to eliminate toil, scale operations, and build smarter workflows. You've already started experimenting, and you have examples to show for it.
A proactive problem solver: you don't wait for a problem, you actively hunt for inefficiencies, propose solutions, align and build scalable solutions.
A skilled communicator of data: you are experienced in presenting complex results and building clear, actionable dashboards (Tableau, Sigma , or similar) for both technical and commercial audiences.
An effective project contributor: you are comfortable owning internal Data team projects, aligning stakeholders, scoping work packages, and seeing initiatives through from inception to delivery.
Experienced in data pipelines and ingestion workflows (2–4 years in Data Ops, Data Engineering, or AdTech).
Familiar with AdTech and programmatic advertising (DSPs, audience segmentation, taxonomy).
Proficient in SQL, Python, ETL workflows/dbt, and cloud data infrastructure (AWS, GCP, Snowflake, etc.).
Experienced with data monitoring & quality control, ensuring accuracy and compliance.
Able to work across teams, collaborating with Engineering, Product, and Partnerships.
A fast learner and self-starter: you take direction well, but you don't need hand-holding to make progress.

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Job facts

Employer: adsquare GmbH
Role: Data Operations Analyst (m/f/d)
City: Berlin
Work mode: not stated
Language: English
Seniority: not stated
Posted: Oct 03, 2026
Source: StepStone

Company rating

Glassdoor 4.6
24 reviews
View on Glassdoor
Kununu 4.5
18 reviews
View on Kununu

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