(Senior) Data Analyst (m/f/d) at StepStone Group

Dusseldorf, North Rhine-Westphalia, Germany -

Full Time

Start Date

Immediate

Expiry Date

25 Aug, 26

Salary

0.0

Posted On

27 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Dbt, Python, Sql, Power BI, A/B Testing, Bayesian Measurement, Causal Inference, Web Tracking, AWS Glue, ETL, SEO Analytics, Data Modeling

Industry

Software Development

Description

Company Description At Stepstone we have a simple but very important mission: As one of the leading online job platforms, we help everyone find the right job. Therefore, we need you! To accomplish our mission, we are looking for a (Senior) Data Analyst in Düsseldorf, Berlin or Hamburg. As part of our Marketing Analytics team you will work closely with our Marketing Channel teams to understand and improve the efficiency of our marketing investments. Does this sound like you? Join us and become part of one of the largest German digital enterprises with more than 3.000 employees. Job Description This role sits at the intersection of analytics engineering and SEO strategy. You'll spend as much time designing data models as you do interpreting experiments and debugging tracking issues. What You'll Do Own SEO data pipelines end-to-end. Design, build, and maintain automated pipelines that power all SEO analytics, from ingestion through transformation to dashboarding. Build internal linking optimization models. Develop end-to-end data models using Glue and Python to optimize internal linking frameworks across our website, surfacing opportunities to improve crawl efficiency and link equity distribution. Run and measure SEO experiments. Design and analyze A/B tests using URL split testing and Bayesian measurement frameworks (causal inference) to quantify the impact of SEO changes on organic traffic. Deliver self-serve analytics. Build and maintain Power BI dashboards that give stakeholders clear visibility into SEO performance, traffic trends, and experiment results. Safeguard data quality. Develop frameworks for prompt debugging and issue identification across web tracking implementations, catching problems before they affect decision-making. Partner across teams. Collaborate with SEO managers, content, engineering, and product stakeholders to translate business questions into analytical solutions and turn insights into action. Qualifications Strong proficiency in dbt, Python, and SQL. You've owned production data models, not just written ad-hoc queries. Experience building Power BI dashboards for non-technical stakeholders. Hands-on experience with A/B testing frameworks, including URL split testing and Bayesian or causal inference approaches to measurement. Working knowledge of web tracking (analytics implementations, tag management, event schemas) and a systematic approach to debugging tracking issues. Experience with AWS Glue or comparable cloud ETL tooling for building production data workflows. Additional Information Your benefits We’re a community here that cares as much about your life outside work as how you feel when you’re with us. Because your job shouldn’t take over your life, it should enrich it. Here are some of the benefits we offer: 30 days of holidays + 2 extra days for Christmas and New Year's Eve Hybrid working model Company pension scheme 24/7 Employee Assistance Programme Life Assurance Cover Volunteering days Job bike Discounted parking or job ticket In-house gym In-house barista And you can bring your dog to the office Our commitment Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, and any other characteristic. Legal Entity: The Stepstone Group EMEA GmbH Compensation: from EUR 0 - yearly

Responsibilities

The role involves owning end-to-end SEO data pipelines and designing data models to optimize internal linking and crawl efficiency. Additionally, the analyst will run SEO experiments using Bayesian frameworks and deliver self-serve analytics via Power BI dashboards.