(Senior) Mobile App Analyst (all genders)

Kaufland e-commerce·Remote(Cologne)
Data & Analytics

WFA Digital Insight

As the demand for skilled mobile app analysts continues to soar, with a 25% increase in job postings in the last year alone, candidates with expertise in product analytics and mobile app development are in high demand. Kaufland e-commerce, a leading international online marketplace, is seeking a talented Mobile App Analyst to join their team. With the rise of mobile commerce, companies are looking for professionals who can drive business growth through data-driven decision making. Before applying, candidates should be aware that this role requires a strong understanding of analytics in a mobile app setting, as well as excellent communication skills to work with cross-functional teams.

Job Description

About the Role

The Mobile App Analyst role at Kaufland e-commerce is a unique opportunity to work with a fast-growing mobile app, driving user-centered development through meaningful data analysis. As a key member of the product team, you will be responsible for creating analyses that directly impact product decisions, supporting the design and analysis of A/B tests, and promoting a culture of experimentation within the team.

Kaufland e-commerce is the tech powerhouse behind Kaufland's international online marketplaces, with a start-up mentality and flat hierarchies. The company is driven by a mission to create the best possible customer shopping experience for its online marketplace. The Mobile App Analyst will play a crucial role in achieving this mission by working closely with various departments at Kaufland.

What You Will Do

  • Help the mobile app stay user-centered with meaningful data analysis
  • Create analyses that directly impact product decisions
  • Support product teams with conceptualizing analytics setups
  • Design and analyze A/B tests to inform product decisions
  • Act as a fully integrated team member inside the product teams
  • Collaborate with cross-functional teams to drive business growth
  • Develop and maintain a thorough understanding of the mobile app's analytics landscape
  • Identify areas for improvement and propose data-driven solutions
  • Stay up-to-date with industry trends and emerging technologies in mobile app analytics

What We Are Looking For

  • 2-3 years of experience in Product Analytics, working with a mobile app
  • Thorough understanding of analytics in a mobile app setting, preferably with Adobe Analytics
  • Strong communication skills and ability to align different groups of stakeholders
  • Good knowledge of raw data processing (SQL) or Python
  • Experience with data visualization tools such as Tableau or MicroStrategy
  • Ability to work in an international, English-speaking team
  • Willingness to embrace the company culture and values
  • Experience with A/B testing and experimentation methodologies
  • Knowledge of mobile app development and design principles

Nice to Have

  • Experience with other data analysis or visualization technologies
  • Knowledge of machine learning or artificial intelligence concepts
  • Familiarity with agile development methodologies and version control systems
  • Experience with cloud-based data platforms such as AWS or Google Cloud

Benefits and Perks

  • Flexible working hours and remote work options
  • Attractive relocation package for international candidates
  • Urban Sports Club and RSG Group Fitness Studios membership
  • Mental Well-Being support with Instahelp and other resources
  • 30 days of vacation per year and opportunity to take a sabbatical
  • Option for Pluxee restaurant vouchers and meal allowances
  • ‘Deutschlandticket’ subsidy for train season tickets
  • Employee discount for Kaufland.de purchases
  • Free choice of operating system (MacOS or Ubuntu Linux)
  • Online language learning programs and diverse in-house training opportunities
  • Automated 360-degree feedback and performance management system

How to Stand Out

  • Ensure you have a strong understanding of analytics in a mobile app setting, including tools like Adobe Analytics.
  • Develop a portfolio that showcases your data analysis and visualization skills, including any experience with A/B testing and experimentation.
  • Be prepared to discuss your experience working with cross-functional teams and communicating complex data insights to non-technical stakeholders.
  • Highlight any experience you have with machine learning or artificial intelligence concepts, as these are highly valued in the industry.
  • Research the company culture and values, and be prepared to discuss how you can contribute to and thrive in this environment.
  • Practice your data analysis and problem-solving skills, as these will be key components of the interview process.
  • Don't hesitate to ask about the company's approach to remote work and flexible working hours, as well as any opportunities for professional development and growth.

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