Business Analyst / Trainee Analytics

Predict42 WorkFromHome

Stellenbeschreibung:

Predict42 , the AI-first SaaS company behind the MIGO Feedback Hub , is seeking a talented and customer-focused Business Analyst to join our team in Mainz. We are dedicated to turning scattered feedback into actionable knowledge for major enterprise clients like Lidl and Kaufland.

In this pivotal role, you will act as the bridge between our cutting-edge, AI-powered software and the strategic needs of our enterprise customers. Reporting directly to our CPO , you will rotate through Customer Success and Analytics, leveraging your skills to build compelling dashboards, uncover trends, and define the future of our product.

This is your opportunity to work at the intersection of Product, Data, and Customer Success , translating complex data into clear business value.

Apply Now! Write an email to

Responsibilities:

  • Analytics & Dashboarding: You will design and build impactful dashboards and visualizations (e.g., in Looker or internal tools) that allow our clients to understand their feedback data at a glance. You will use SQL and Python to conduct in-depth analysis, identifying trends and patterns that drive better business decisions.
  • Customer-Centric Product Development: Collaborating closely with our Customer Success team and clients you will analyze user feedback to identify pain points and opportunities. You will translate these business needs into detailed functional requirements for our Engineering team.
  • Strategic Insights: You will extract meaningful insights from client data and market trends to optimize product performance and support our "Consolidate, Analyze, Act" philosophy.
  • Operational Excellence: You will streamline business processes and oversee data operations, including the quality assurance of data enrichment tasks (e.g., supervising working students on data collection jobs), ensuring our data integrity remains inviolable.
  • AI Exposure: Spend 20-25% of your time gaining exposure to Data Science Proof-of-Concepts (POCs), contributing with analytics or small programming tasks and understanding how NLP and Generative AI drive our platform.

Qualifications:

  • Educational Background: A degree in Business Informatics, Economics, Data Science, or a related field.
  • Analytical & Visualization Skills: Strong proficiency in SQL and Python is required. You have a keen eye for detail and experience with data visualization tools (e.g., Tableau, PowerBI, Excel ) to create compelling reports.
  • Product Mindset: You possess strong problem-solving skills and the ability to translate vague customer challenges into concrete technical specifications.
  • Customer Experience (CX): Knowledge of CX management principles and methodologies.
  • Text Analytics: Interest or experience in NLP techniques (sentiment analysis, topic modeling) to extract insights from unstructured text.
  • Communication: Excellent presentation skills with the ability to communicate complex findings effectively to stakeholders.
  • Language: You are a Native German speaker and fluent in English, essential for communicating with our core enterprise clients in the DACH region.

EARN:Salary + Equity

We foster an entrepreneurial culture by offering a virtual stock option program.

we offer mix of remote and on-premise work, combining the best of both worlds

GROW:Research Time

all employees have blocked research time per week at their disposal.

we subsidize up to 20% of you pension plan / direct insurance via salary conversion

COMPASSION: Care

we care and support you, if you go through a difficult time at some point in your life.

BOND: Team Building

we organize different team events, including a super exciting offsite each year.

#J-18808-Ljbffr
NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    04 Jan 2026
  • Standort:

    WorkFromHome
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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