Junior Product Analyst (M/W/D)

As a Junior Product Analyst (M/W/D) at AVIV, your responsibilities will include providing ad-hoc analyses to frame projects, helping product teams design effective experiments, analyzing app users’ behaviors to identify product improvement opportunities, and performing analyses to build monitoring dashboards that measure project impact. You’ll also be defining, conducting, and analyzing AB tests, promoting a data-driven culture among teams, and collaborating closely with product managers, designers, developers, and data teams.

To succeed as a Junior Product Analyst (M/W/D) at AVIV, candidates should exhibit a strong passion for data and possess analytical skills. Experience with SQL (Athena, BigQuery), dashboarding tools like Google Data Studio, Tableau, or Power BI, and familiarity with analytics tools like GA4 is essential. Additionally, knowledge of user journey analysis and experience with AB testing tools are critical. Proficiency in Python is a plus, and effective communication skills in English are required.

AVIV provides a diverse array of benefits to Junior Product Analysts (M/W/D), including 30 days of annual leave, options for hybrid or remote working, and flexible working hours. Team members also receive a company pension scheme, a public transport allowance of €50, and a €100 glasses allowance. Health and wellbeing benefits, bicycle leasing (Job Rad), subsidized canteen options in Berlin, and charity fundraising opportunities further enhance the employee experience.

AVIV is committed to promoting diversity and inclusion within the workplace. As a Junior Product Analyst (M/W/D), you will find an environment that welcomes individuals from various backgrounds, including people with visible and non-visible disabilities, diverse educational backgrounds, and those from the LGBTQIA+ community. The company encourages applications from anyone who can bring a unique perspective to the team, and they offer support for part-time or flexible working requirements.

The recruitment process for a Junior Product Analyst (M/W/D) at AVIV includes three stages: First, a phone call with a recruiter to discuss your expectations. Next, you'll meet the hiring manager for an interview where you'll participate in a case study. Finally, a meeting with the team will allow for deeper engagement and insights into the company culture. Each step is designed to ensure a thorough understanding of candidate fit within the team.

As a Junior Product Analyst (M/W/D) at AVIV, you will typically work with tools like SQL for data analysis, Google Data Studio, Tableau or Power BI for dashboarding, and Google Analytics or GA4 for tracking and monitoring. Familiarity with AB testing platforms like AB Tasty or Kameleoon will also be essential. Additionally, using Python within JupyterLab could enhance your data analysis capabilities, making it easier to communicate insights with cross-functional teams.

Junior Product Analysts (M/W/D) at AVIV can expect substantial opportunities for career growth. As you contribute to impactful projects and collaborate with various teams, you will gain valuable experience that can lead to advanced analytical roles, product management positions, or specialized areas within data analytics. The company’s dynamic environment and commitment to employee development ensure you have the tools required for progressing in your career.

When asked about SQL and data analysis, describe specific projects where you used SQL to extract and manipulate data. Highlight the types of analyses you performed, the insights generated, and how your recommendations influenced product decisions. Emphasize your familiarity with tools like Athena or BigQuery and how you ensure data integrity.

In response to this question, outline the key steps you would take in designing an AB test. Start with defining a clear hypothesis, determining success metrics, and selecting the right audience. Explain how you would collaborate with cross-functional teams for implementation, and stress the importance of analyzing the results post-experiment to inform future product iterations.

When discussing an example of improving a product through user data analysis, select a detailed and relevant situation. Describe how you gathered user data, the analysis methods used, and the insights derived. Discuss how these insights led to actionable changes in the product and the resulting impact on user engagement or satisfaction.

For this question, detail your experience with dashboarding tools like Google Data Studio, Tableau, or Power BI. Share specific examples of dashboards you've created, what data visualizations you focused on, and how these dashboards helped product teams make data-driven decisions. Highlight any feedback received from users of your dashboards.

When answering about communication with cross-functional teams, discuss your strategies for effective collaboration. This could include regular check-ins, using clear language free of jargon, providing thorough documentation, and being receptive to feedback. Emphasize how these communication practices facilitate understanding and enhance team productivity.

In your response, give a brief overview of user journey analysis, emphasizing its goal to understand how users navigate a product. Highlight how analyzing user pathways can uncover pain points and opportunities for improvement. Discuss your relevant experience, methodologies, and tools used for such analysis.

Choose an impactful experience where your analysis informed a crucial business decision. Provide context, describe the analytical approach you took, and share the decision that was made. Discuss how the decision affected the business, and the recognition you received for your contribution, if applicable.

To address this question, outline your proactive habits for keeping abreast of trends such as reading industry blogs, attending webinars, and participating in relevant forums or networking events. Highlight specific resources or thought leaders you follow and the value they bring to your understanding of product analytics.

When addressing user feedback, stress its critical importance as it provides qualitative context to quantitative data. Discuss how you gather feedback, integrate it with your analysis, and how it informs your recommendations. Give an example of how user feedback influenced a past project.

In response to this question, emphasize that success as a Junior Product Analyst (M/W/D) entails delivering actionable insights that inform product decisions, enhancing user experience, and fostering a culture of data-driven decision-making. You could also mention your commitment to continuous learning and adapting based on the evolving needs of the team and the business.