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

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

Benefits dieser Stelle

Hybrid working model

13th salary

30 days vacation

Company pension scheme

Canteen with subsidized lunch

Zusammenfassung

REPA Deutschland GmbH in Bergkirchen near Munich is seeking a Junior Data Analyst & Data Operations Specialist. You will join the data operations team, working with product, operational and reporting data to support data quality, migration, reporting and automation.

You will gain hands-on experience with Excel, Power BI, SQL, Power Query, Power Automate and AI-assisted tools, with a clear development path toward roles such as Data Analyst or Data Engineer.

Qualifikationen

• Bachelor's degree or comparable practical experience in a data/analytics field.
• Strong interest in data management, analytics and business processes.
• Good Excel skills and basic understanding of databases and reporting concepts (pivot tables, lookups, data validation).
• Exposure to Power BI, SQL, Python, Power Automate, Power Query or related concepts is a plus.

Aufgaben

• Maintain master, product and operational data across business systems with accuracy.
• Create and maintain basic reports and dashboards using Excel and Power BI.
• Identify data quality issues, duplicates and inconsistencies and assist root-cause analysis.
• Collaborate with cross-functional teams to understand requirements and resolve data issues.

Kenntnisse

Data analytics

Excel

Power BI

SQL

Power Query

Power Automate

English proficiency

Ausbildung

Bachelor's degree or comparable practical experience

Tools

Excel

Power BI

SQL

Power Query

Power Automate

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.

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

• 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.