Product Analyst

StepStone Group; Deutschland; Hybrid; EUR 60.000 - 90.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

Pension scheme

Life Insurance

Volunteering days

Bike to work

Parking or ticket

Urban Sports Club

In-house gym

Barista at office

Dog-friendly office

Zusammenfassung

The Stepstone Group is seeking a data-driven Product Analytics professional to own analytical projects from data to insight. You will partner with Product Managers and cross-functional teams to frame problems, run analyses, and translate findings into actionable recommendations.

Responsibilities include building dashboards with Adobe Analytics, Power BI, and Python; designing experiments; and leveraging AI tooling to accelerate analysis while ensuring accuracy. Hybrid work is offered.

Qualifikationen

• Ideally 3+ years of experience in Product Analytics, Data Analytics, or related fields.
• Solid SQL skills and knowledge of Python for analysis and automation.
• Experience with Product Analytics tools (e.g. Adobe Analytics, Amplitude, Mixpanel) including event tracking and dashboards in BI tools.
• Experience of experimentation (A/B testing) and core statistical concepts.
• Clear communicator with good data visualization and storytelling skills.

Aufgaben

• Partner with Product teams to define, monitor, and investigate KPIs, and deliver deep-dive analyses with clear recommendations.
• Support product discovery through opportunity sizing, hypothesis generation, and input into experiment design; set up, run, and analyze A/B tests.
• Own the data foundations behind your work: write behavioral tracking specs, validate events across journeys, and coordinate with data teams to source and validate data.
• Build and maintain dashboards and analytical outputs using tools such as Adobe Analytics, Power BI, and Python; communicate insights with clear visualization and storytelling.

Jobbeschreibung

At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for jobseekers and companies around the world to find a perfect match in fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased hiring.

Join our team of 4,000+ employees and be part of reshaping the labour market and becoming the world’s leading job platform.

Join our team and you’ll be responsible for answering product and business questions with data. You will own analytical projects from data through to insight, working with your manager and stakeholders to frame the problem and agree the approach. Your work could take many forms, from dashboards and funnel analyses to tracking design and A/B test read-outs.

Working in the Product Analytics department, you will partner closely with Product Managers, Heads of Product, and cross-functional teams, helping shape product decisions through data.

We expect our analysts to work with AI, not around it. You will be encouraged to use AI tooling to move faster on the mechanical parts of analysis, while keeping full accountability for the correctness of what you produce.

By joining our team, you will play a key role in improving product performance while building the depth and judgement to take on broader, more ambiguous problems over time.

Your responsibilities:

• Partner with Product teams to define, monitor, and investigate KPIs, and deliver deep-dive analyses that explain what is driving user behavior and product performance, translating findings into clear recommendations.
• Support product discovery through opportunity sizing, hypothesis generation, and input into experiment design, then set up, run, and analyze A/B tests, explaining what results do and do not tell us.
• Own the data foundations behind your work: write and refine behavioral tracking specifications, validate that events are captured correctly across user journeys, and partner with data teams to source, transform, and validate data.
• Build and maintain dashboards and analytical outputs using tools such as Adobe Analytics, Power BI, and Python, and communicate insights to stakeholders in a way that lands, using clear visualization and data storytelling.
• Use AI tooling to raise your own leverage: generating and reviewing code, exploring unfamiliar datasets, drafting documentation, summarizing qualitative feedback at scale , and sharing what works with your peers.

• Ideally 3+ years of experience in Product Analytics, Data Analytics, or related fields, with the ability to own a well-defined analytical problem end-to-end and connect what you find to product and business impact.
• Solid SQL skills and knowledge of Python for analysis and automation, with exposure to data pipelines and data modeling.
• Experience with Product Analytics tools (e. g. Adobe Analytics, Amplitude, Mixpanel) including event tracking and building dashboards in a BI tool (e. g. Power BI, Looker, Tableau).
• Experience of experimentation (A/B testing), core statistical concepts, and common data analysis techniques, paired with the attention to detail to sense-check your own numbers before they go out.
• Clear communicator with good data visualization and storytelling skills adapted to the audience

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 + 1 Cultural Heritage Day + 2 extra days for Christmas and New Year's Eve
• Hybrid working model
• Company pension scheme
• Life Assurance Cover
• Volunteering days
• Job bike
• Discounted parking or job ticket
• Discounted Urban Sports Club membership
• 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.