Junior Data Analyst & Data Operations Specialist (m/f/d)

Remotely; Oberbergkirchen (VGem); Vor Ort; EUR 42.000 - 54.000; Vollzeit

Benefits dieser Stelle

13 salaries yearly

Hybrid working model

Canteen with subsidized lunch

Company pension scheme

Free employee parking

Zusammenfassung

REPA Deutschland GmbH, part of the REPA Group, seeks a Junior Data Analyst & Data Operations Specialist to join the Bergkirchen team near Munich. You will learn by doing real business projects, work with Excel, Power BI, SQL and automation tools, and grow toward data roles while collaborating with cross‑functional teams.

You will participate in data quality, governance, reporting and automation initiatives, gaining hands‑on experience with data across ERP, PIM, CRM and master data platforms.

Qualifikationen

• Bachelor’s degree or comparable practical experience in data analytics or related field.
• Strong interest in data management, analytics and process improvement.
• Good Excel skills and basic databases/reporting concepts; initial SQL knowledge is a plus.
• Structured, reliable, detail‑oriented with ability to follow documented processes.
• Exposure to Power BI, SQL, Python, Power Automate or related tools is an advantage.
• Experience with data, reporting, operations, supply chain or analytics is a plus.
• English C1 and German B1/B2 required for collaboration in the local environment.

Aufgaben

• Maintain master, product and operational data with accuracy and consistency.
• Create and maintain basic reports and dashboards in Excel and Power BI.
• Analyze datasets to identify trends and improvement opportunities.
• Identify repetitive data tasks and support automation with Power Automate.
• Collaborate with stakeholders to understand requirements and resolve data issues.

Kenntnisse

Data governance

Data analytics

Cross-functional collaboration

English (C1)

German (B1/B2)

Attention to detail

Ausbildung

Bachelor’s degree or comparable practical experience in Business Analytics/Info Systems/Data Analytics

Tools

Excel

Power BI

SQL

Power Query

Power Automate

Python

Jobbeschreibung

Company Description

We are REPA Deutschland GmbH , part of the REPA Group - Europe's leading distributor of spare parts for the catering industry, commercial kitchens, refrigeration technology and more. With over 95,000 items from more than 2,000 manufacturers, we offer the largest range on the market. Our 6 warehouses in Europe, 9 locations and over 1,000 employees guarantee fast and reliable service. Our affiliation with Parts Town , the American market leader in high-tech spare parts distribution, gives us even more power. Together we ensure that everything runs smoothly - whether it's a coffee machine, refrigerator or combi-steamer.

Work location: Please note that this position requires regular on-site presence in Bergkirchen (and from the end of 2027 in Unterschleißheim).

As a Junior Data Analyst & Data Operations Specialist , you will join our data operations team in Bergkirchen near Munich, Germany . This role is a strong starting point for someone who wants to build a career in data by learning through real business projects, practical tools and close collaboration with experienced colleagues.

You will work with product, operational and reporting data, supporting data quality, migration, reporting and automation activities. You will gain hands‑on experience with Excel, Power BI, SQL, Power Query, Power Automate and AI‑assisted productivity tools, with a clear development path toward roles such as Data Analyst, BI Analyst, Data Steward or Data Engineer.

Job Description

Data Quality & Governance

• Maintain master, product and operational data across business systems, ensuring accuracy, completeness and consistency.
• Perform data quality checks, identify duplicates, missing values and inconsistencies, and support root‑cause analysis.
• Support data mapping, cleansing, enrichment, bulk updates and migration activities from source review to post‑load validation.
• Document data definitions, validation rules, ownership and process guidelines.

Reporting & Analytics

• Create and maintain basic reports and dashboards using Excel and Power BI.
• Analyze datasets to identify trends, anomalies and improvement opportunities.
• Use formulas, pivot tables, Power Query and basic DAX measures to prepare, summarize and validate data.
• Provide clear insights, operational metrics and data issue updates to business stakeholders.

Automation & AI Enablement

• Identify recurring manual data tasks that can be streamlined through Power Automate, Excel automation, templates or improved process design.
• Support simple automation use cases such as file preparation, validation checks, data refreshes and exception tracking.
• Use AI‑assisted tools responsibly to improve productivity, documentation and data handling while respecting data protection expectations.

Collaboration & Stakeholder Support

• Work with business, product and IT stakeholders to understand requirements and resolve data issues.
• Communicate progress, risks and recommendations clearly.
• Support cross‑functional projects involving reporting, integration and data management.

Learning & Professional Development

• Receive structured onboarding, hands‑on coaching and regular feedback to help you grow step by step.
• Learn how business data is created, maintained, transformed and used across ERP, PIM, CRM, reporting and master data platforms.
• Build practical skills in SQL, Power BI, Power Query, DAX, data modeling, governance and automation.
• Take part in training, documentation, knowledge‑sharing and real business projects that build confidence and ownership.

Qualifications

• Bachelor's degree, apprenticeship, vocational qualification or comparable practical experience in Business Analytics, Data Analytics, Information Systems, Computer Science, Engineering, Mathematics, Economics, Business Administration or a related field.
• Strong interest in data management, analytics, digital tools and business process improvement.
• Good Excel skills and basic understanding of databases, structured data or reporting concepts; including pivot tables, lookup functions, data validation and structured formulas, initial SQL knowledge is an advantage.
• Structured, reliable and detail‑oriented working style with the ability to follow documented processes quality checks, and reliable approach when working with large datasets.
• Exposure to Power BI, SQL, Python, Power Automate, Power Query or database concepts through study, internships, working student roles or projects, is an advantage
• First experience with data, reporting, operations, supply chain, e‑commerce, product data or analytics is a plus.
• Knowledge of ERP, PIM, CRM, data warehouse, reporting or master data systems is beneficial.
• Strong attention to detail, analytical thinking and commitment to data accuracy.
• Proactive learning mindset, openness to feedback and curiosity about new technologies.
• Clear communication and ability to collaborate with cross‑functional teams.
• Strong communication skills in English (C1); German (B1/B2 ) is necessary for effective collaboration in the local business environment.

Additional Information

In addition to a secure job in an internationally successful, fast‑growing and family‑friendly group of companies, you can also expect:

• Attractive remuneration package (split into 13 salaries)
• 30 days vacation
• Hybrid working model with flexible working hours and flexitime account in a 40‑hour week
• Company pension scheme
• Canteen with subsidized lunch
• Team member appreciation
• Individual training and development opportunities
• Casual dress code
• Regular employee events
• Employees recruit employees‑bonus
• Corporate benefits
• Job ticket
• Free employee parking spaces
• All the traditional benefits like health insurance, paid time away while you re‑energize -- don't worry, we've got you covered

REPA welcomes diversity and is an equal opportunities employer. All qualified applicants are considered regardless of race, religion, skin color, national origin, gender, age, sexual orientation, gender identity or disability.

Do you have questions? We will be happy to answer them!