About the Role
Do you love numbers, understand online shopper behavior, are passionate about unlocking real business insights from raw data? Then you've come to the right place!

As a Data Analyst (f/m/d) in our global eCommerce team, you will focus entirely on what you do best: data analysis, insight generation, and business impact. You won't have to build tracking setups or spend all day coding dashboards--your primary focus is on analyzing user paths, identifying bottlenecks in the funnel, and uncovering valuable growth opportunities for our international markets.
A real highlight: You will provide subject-matter support in building our global reporting infrastructure.

Data Analyst (f/m/d)

Your Mission

• Web Analytics & Funnel Optimization: You dive deep into our web and performance data, analyze user paths and conversion funnels, and identify concrete hurdles and growth opportunities.
• Customer & Cohort Analytics: You analyze user behavior, customer segments, cohorts (CLV, Retention, Churn), and customer journeys to identify deep patterns and derive actionable recommendations.
• Product & Assortment Analytics: You analyze product category performance, ordering patterns, and cart abandonments, delivering insights to optimize our online product range.
• Insights & Decision Support: You translate complex datasets into clear, structured core insights ("Data Storytelling"), providing directly actionable decision proposals for management.
• Analytical Sparring in Major Projects: You contribute your analytical perspective to the development of our new central Data Warehouse.
• Data Quality & Plausibility: You maintain a critical eye on data streams and ensure that analyses are based on reliable numbers.

Your Skills

• Professional Experience: 1-3 years of solid experience as a Data Analyst, preferably in an eCommerce or digital environment.
• eCommerce Domain Knowledge: Confident understanding of key eCom KPIs (e.g., CAC, CLV, AOV, Conversion Rate, Churn, Return Rates).
• Core Tech Stack (Must-have): Strong practical knowledge of Google Analytics, SQL, BigQuery, as well as a good understanding of data structures.
• Analytical Acumen & Storytelling: Strong ability to not only query data, but to recognize connections, test hypotheses, and present recommendations concisely.
• Communication & Teamwork: Strong interpersonal skills, a structured way of working, and enjoyment in working closely within an international team.
• Language Skills: Very good English (primary team language in a global context) as well as good German skills.

Some skills that would be nice-to-have:

• Familiarity with Google Tag Manager (GTM)
• Conceptual understanding of web tracking principles (events, UTMs, client- vs. server-side)
• Experience with data visualization tools (Looker Studio / Power BI)

Salary

For this position, we offer you a gross monthly salary starting at EUR 3.000 on a full-time basis. Of course, we take into account your individual qualifications and experience and are willing to pay an appropriate overpayment. We will be happy to discuss details in person.

Who we are
Our sustainable and lightweight bikes have won awards and created a loyal customer base all over the world! We are an international, multicultural team with more than 20 nationalities. With over 200 employees it can be difficult to maintain the startup atmosphere, so we place a lot of emphasis on a friendly working atmosphere and extensive onboarding.

We focus on diversity and celebrate it. Equal opportunities for everyone and an anti-discriminatory personnel policy are particularly important to us.

About this job

Employment type: Full Time (Permanent employment)

Salary: from 3,000 EUR monthly

Seniority level: Professional Experience

Work model: On-site

Place of work: Wien

Field of work: IT, Data Processing

Unfilled vacancies: 1 vacancy unfilled for this position

About the company

Employer: woom GmbH

Number of employees: 101 - 500 employees

Locations: Wien

Details about this job

Full Time (Permanent employment)

• Monday to Friday
• 38,5 hours

Place of work

• Wien

Must-have skills

• key eCom KPIs
• Core Tech Stack
• Google Analytics
• SQL
• BigQuery
• data structures

Nice-to-have skills

• Google Tag Manager
• web tracking principles

Required languages

• German B1
• English B2

Contact person

Jehona Jashari