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Pebio editorial team · Last updated: 1 November 2026

Business Intelligence Analyst

What is on your mind?

Salary: what employees earn

Actual salary (BA Entgeltatlas), not a pay scale. Median pay of full-time employees subject to social insurance; part-time is not included. The salary in your contract may differ.

Median per month (gross)

€6,428

Range per month (25% to 75%)

€4,931 – €7,922

  • Region: Germany
  • Applies to the occupational group KldB 71314 This occupational group covers several occupations, not only this one.
  • Data import: October 2026
  • Reference period of the figure: not stated in the dataset
  • The source states the number of cases and the publication threshold.

Source: BA-Entgeltatlas

More about this figure

Minimum rates are not actual salaries and are listed in the pay scale section.

Your own calculation: hourly rate

Convert your monthly gross pay into an hourly rate. This is a calculation from your own input, not a comparison with the median. Nothing is stored.

Pay scales and minimum rates

These are minimums if the stated scope applies to your employment. This is not legal advice.

There is no verified statement on statutory pay under the BGB for this occupation yet.

Statutory minimum wage

  • Statutory

    €13.90 per hour

    valid from 2026-01-01, until 2026-12-31

    § 1 Nr. 1 MiLoV5: „ab 1. Januar 2026 13,90 Euro brutto je Zeitstunde“

Source: Fifth Minimum Wage Adjustment Ordinance (MiLoV5), Federal Law Gazette 2025 I No. 268 · As of 2026-10-27

Upcoming rates (1)

  • Statutory

    €14.60 per hour

    valid from 2027-01-01 · upcoming

    § 1 Nr. 2 MiLoV5: „ab 1. Januar 2027 14,60 Euro brutto je Zeitstunde“

Source: Fifth Minimum Wage Adjustment Ordinance (MiLoV5), Federal Law Gazette 2025 I No. 268 · As of 2026-10-27

Terms explained
Generally binding collective agreement (AVE)
A collective agreement that the labour ministry has declared binding for all employers in a sector – even without union membership.
Framework agreement (Manteltarifvertrag)
Sets general working conditions such as working hours, leave and notice periods, not the level of pay.
Pay agreement (Entgelttarifvertrag)
Sets how much is paid per pay grade.
Pay grade (Entgeltgruppe)
The classification by task and qualification. It decides which amount in the pay table applies to you.

Which pay scale might apply to you?

We show no sector pay scale for this occupation. Check step by step: region, employer and sector, bargaining parties, scope and period, then the original text. A match means “possibly relevant, please check”, not “applies to you”.

BMAS collective agreement register

Career: possible moves

Occupations people move to from this one. Every rating shows how it was derived.

  • Data Warehouse Analyst/in

    IT & Data

    Editorially selected · Dataset as of 2026-05-24

    Rating: leicht

    about 6 months

    Derivation

    What you bring: Data Analytics, Medical Documentation, Python, Technische Dokumentation

    According to the dataset: qualification paths

    Show qualification routes (8)
    • Java
      1 option
      • Praxiserfahrung
        Description from the dataset

        Java-Kenntnisse für Data-Warehouse-nahe ETL-Komponenten und Backend-Logik werden durch strukturiertes Selbststudium und Praxisprojekte aufgebaut. Lernmaterialien über Hochschulen und öffentliche Bildungsplattformen verfügbar. Wird neu aufgebaut.

    • Mobile Development
      1 option
      • Praxiserfahrung
        Description from the dataset

        Mobile-Entwicklung ist ein peripheres Gap für Data-Warehouse-Rollen. Grundkenntnisse werden durch Praxisprojekte oder Hochschulkurse aufgebaut, sofern die Stelle dies erfordert. Wird neu aufgebaut.

    • Problemlösung
      1 option
      • Praxiserfahrung
        Description from the dataset

        Bereits vorhanden/übertragbar aus analytischer BI-Arbeit. Strukturierte Problemlösung bei Datenqualitätsfragen und Reporting-Herausforderungen ist direkt anschlussfähig.

    • Requirements Engineering
      1 option
      • IHK-/Kammer-Zertifikatslehrgang
        Description from the dataset

        Strukturierte Anforderungserhebung und -dokumentation für Data-Warehouse-Projekte wird über Zertifikatslehrgänge bei IHK oder Fachschulen erworben. Eine herstellerneutrale Requirements-Engineering-Zertifizierung ist ergänzend möglich. Wird neu aufgebaut.

    • Softwareentwicklung
      1 option
      • Praxiserfahrung
        Description from the dataset

        Grundlegende Softwareentwicklungskenntnisse für Datenpipeline-Implementierung werden durch Praxisprojekte und Hochschulkurse aufgebaut. Wird neu aufgebaut.

    • Storytelling
      1 option
      • Praxiserfahrung
        Description from the dataset

        Datengetriebenes Storytelling — Ergebnisse verständlich für Fachbereiche aufbereiten — wird durch Praxiserfahrung in Reporting-Projekten aufgebaut. Wird neu aufgebaut.

    • Testing
      1 option
      • Praxiserfahrung
        Description from the dataset

        Datenqualitätsprüfung und Testkonzepte für ETL-Prozesse werden durch Praxiserfahrung in Data-Warehouse-Projekten aufgebaut. Wird neu aufgebaut.

    • Visual Design
      1 option
      • Praxiserfahrung
        Description from the dataset

        Grundlagen der Datenvisualisierung und Dashboard-Gestaltung werden durch Praxiserfahrung mit BI-Werkzeugen und eigenem Porfolio aufgebaut. Wird neu aufgebaut.

    Check this switch
  • Data Analyst

    IT & Data

    Editorially selected · Dataset as of 2026-06-14

    Derivation

    What you bring: Azure, Data Analytics, Data Visualization, Excel, Excel (Advanced), Medical Documentation, Python, SQL, Technische Dokumentation

    What is still missing: Java, Präsentation, Python

    According to the dataset: qualification paths

    Show qualification routes (3)
    • Java
      1 option
      • Praxiserfahrung
        Description from the dataset

        Java-Programmierkenntnisse werden am effizientesten durch eigenständige Projektarbeit und Onlinekurse an Volkshochschulen, Fachschulen für Informatik oder staatlich anerkannten IT-Bildungszentren aufgebaut. Praxisnahe Übungen und kleine Entwicklungsprojekte beschleunigen den Lernprozess. Dieser Skill wird neu aufgebaut.

    • Präsentation
      1 option
      • Praxiserfahrung
        Description from the dataset

        Präsentationskompetenz — strukturiertes Aufbereiten und Vermitteln von Daten für unterschiedliche Zielgruppen — ist bereits vorhanden und übertragbar.

    • Python
      1 option
      • Praxiserfahrung
        Description from the dataset

        Python-Kenntnisse sind bereits vorhanden und übertragbar.

    Check this switch
  • Data Engineer

    IT & Data

    Editorially selected · Dataset as of 2026-05-24

    Rating: schwer

    Derivation

    What you bring: Azure, data warehouse, Excel (Advanced), Scripting, Snowflake

    What is still missing: Airflow, Infrastructure as Code, Apache Kafka

    According to the dataset: qualification paths

    Show qualification routes (3)
    • Workflow-Orchestrierung (Airflow)
      1 option
      • Praxiserfahrung
        Description from the dataset

        Kenntnisse in Datenpipeline-Orchestrierung werden durch Praxisprojekte und strukturiertes Selbststudium mit Open-Source-Workflow-Tools aufgebaut. Vorhandene Scripting- und Data-Warehouse-Kenntnisse sind bereits vorhanden/übertragbar und erleichtern den Einstieg.

    • Infrastructure as Code
      1 option
      • IHK-/Kammer-Zertifikatslehrgang
        Description from the dataset

        Infrastructure-as-Code-Kenntnisse werden über herstellerneutrale DevOps-Weiterbildungen an Fachschulen oder IHK-Bildungszentren erworben. Vorhandene Azure- und Scripting-Kenntnisse sind bereits vorhanden/übertragbar und bilden eine technische Ausgangsbasis.

    • Streaming-Plattformen (Kafka)
      1 option
      • Praxiserfahrung
        Description from the dataset

        Kenntnisse in Echtzeit-Datenverarbeitung und Event-Streaming werden durch Praxisprojekte mit Open-Source-Streaming-Plattformen aufgebaut. Vorhandene Data-Warehouse- und Scripting-Kenntnisse sind bereits vorhanden/übertragbar und erleichtern den Paradigmenwechsel.

    Check this switch

Further paths have not been researched reliably yet.

Where else you can go

Routes many people do not think of straight away. Every statement names source and date; what is missing reads “not documented yet”.

  • Data scientist (part-time Master's in Data Science)

    You build machine learning models and analyse large datasets statistically. The Master's deepens statistics, machine learning and deep learning.

    Why you fit

    With SQL, data preparation and dashboards you already have the data practice. The Master's adds what BI work often lacks: statistics and machine learning.

    The route there

    Further training and exam
    Part-time Master of Science in Data Science at Leuphana Professional School. Content: maths and statistics, machine learning, deep learning, big data project, data ethics. Admission: first or second degree, at least one year of relevant work experience after the first degree, 10 ECTS in statistics and computer science. Application deadline 15 July, start in October.

    Source: Leuphana Universität Lüneburg, Professional School: Master Data Science · As of 2026-11-01 (abgerufen)

    Duration
    3 semesters part-time, 60 credit points.

    Source: Leuphana Universität Lüneburg, Professional School: Master Data Science · As of 2026-11-01 (abgerufen)

    Cost
    not documented yet
    Funding
    not documented yet
    Salary
    not documented yet

    Your next step: Check on the programme page whether your first degree and work experience meet the admission rules, and note the 15 July deadline.

  • Data engineer (Master's in Data Engineering and Analytics, TUM)

    You build and run data pipelines and the systems analyses run on. The Master's focuses on data analysis and data engineering, plus distributed systems and machine learning.

    Why you fit

    SQL, data warehouse knowledge and scripting from BI work are the base. The Master's deepens the technical side of data processing.

    The route there

    Further training and exam
    Master of Science in Data Engineering and Analytics at TUM. Admission through a two-stage aptitude procedure (bachelor's grade and documents, then admission, rejection or interview). Teaching language mostly English. Applications for the winter semester 1 Feb to 31 May, for the summer semester 1 Oct to 30 Nov.

    Source: Technische Universität München: Data Engineering and Analytics (M.Sc.) · As of 2026-11-01 (abgerufen)

    Duration
    4 semesters full-time, 120 ECTS.

    Source: Technische Universität München: Data Engineering and Analytics (M.Sc.) · As of 2026-11-01 (abgerufen)

    Cost
    not documented yet
    Funding
    not documented yet
    Salary
    not documented yet

    Your next step: Check the application deadlines and have proof of English ready.

  • Data architect (Master's in Business Information Systems Engineering, THI)

    You design how data and IT systems fit together in a company. The Master's covers high-performance databases, enterprise architecture management, system integration and IT consulting.

    Why you fit

    You know data models, warehouse structures and documentation from BI work. The Master's links that to architecture and integration knowledge.

    The route there

    Further training and exam
    Master's in Business Information Systems Engineering at Technische Hochschule Ingolstadt (THI). Admission: bachelor's with 210 ECTS in information systems, computer science or a related field, or 180 ECTS plus 30 ECTS of missing competences. Main teaching language German.

    Source: Technische Hochschule Ingolstadt: Business Information Systems Engineering (M.Sc.) · As of 2026-11-01 (abgerufen)

    Duration
    3 semesters full-time, 90 ECTS. According to the FAQ the modules can be spread over 5 semesters.

    Source: Technische Hochschule Ingolstadt: Business Information Systems Engineering (M.Sc.) · As of 2026-11-01 (abgerufen)

    Cost
    not documented yet
    Funding
    not documented yet
    Salary
    not documented yet

    Your next step: Check whether your degree covers 210 ECTS, otherwise look at the 30 ECTS compensation.

Show more routes (5)
  • Information systems Master's (TUM)

    You combine computer science, process management and business studies and shape IT solutions for business units. The programme covers software engineering, databases, machine learning and management.

    Why you fit

    You already translate business questions into data and metrics. The Master's gives you the academic foundation in information systems.

    The route there

    Further training and exam
    Master of Science in Information Systems (Wirtschaftsinformatik) at TUM. Admission through a two-stage aptitude procedure. Teaching language mostly English, some modules in German. Applications for the winter semester 1 Feb to 31 May, for the summer semester 1 Oct to 30 Nov.

    Source: Technische Universität München: Wirtschaftsinformatik (M.Sc.) · As of 2026-11-01 (abgerufen)

    Duration
    4 semesters full-time, 120 ECTS.

    Source: Technische Universität München: Wirtschaftsinformatik (M.Sc.) · As of 2026-11-01 (abgerufen)

    Cost
    not documented yet
    Funding
    not documented yet
    Salary
    not documented yet

    Your next step: Read the module handbook and check which modules run in German.

  • Controller (certified controller, IHK)

    You plan and manage costs and budgets, analyse annual accounts and run reporting. You also advise managers on business matters.

    Why you fit

    Reporting, metrics and management reporting are your daily work. The exam adds cost accounting, planning and annual accounts analysis.

    The route there

    Further training and exam
    IHK exam for Geprüfter Controller, DQR level 6. Six fields of action: cost accounting, planning and budgeting, annual accounts analysis, reporting, consulting, leadership. The exam has four written parts, a project paper and an oral exam. Admission e.g. with a business degree plus 2 years of work experience. A preparation course does not entitle you to admission.

    Source: IHK Köln: Geprüfter Controller · As of 2026-11-01 (abgerufen)

    Duration
    not documented yet
    Cost
    not documented yet
    Funding
    not documented yet
    Salary
    not documented yet

    Your next step: Ask your IHK about admission before you book a course.

  • Business manager (Master Professional in Business Management, IHK)

    You work on a company's business questions at DQR level 7. The exam covers five fields of action and a project paper on a current, practice-oriented business question.

    Why you fit

    If you want to move from analysis into running the business, this qualification gives you the business framework.

    The route there

    Further training and exam
    Geprüfter Betriebswirt under the BBiG (Master Professional in Business Management), DQR level 7. Exam parts: written (in English), oral, project-based. Admission e.g. with a business degree plus one year of work experience or a Fachwirt qualification. The IHK recommends applying before the course.

    Source: IHK Region Stuttgart: Geprüfter Betriebswirt · As of 2026-11-01 (abgerufen)

    Duration
    not documented yet
    Cost
    not documented yet
    Funding
    not documented yet
    Salary
    not documented yet

    Your next step: Ask your IHK whether your degree is enough for admission.

  • IT project management (Bachelor Professional in IT)

    You lead IT projects, optimise IT-related business processes and manage staff. The training also covers information security and procurement of IT services.

    Why you fit

    You already link business units and technology and present results. The training adds project management and people leadership.

    The route there

    Further training and exam
    Training as Bachelor Professional in IT under the regulation of 24 September 2024, in force since 1 November 2024 (second level of higher vocational training). The exam tests whether you can take on specialist and leadership tasks in IT projects, IT business processes, information security and staff management. The learning effort is usually at least 1,200 hours. When it came into force, the IT-Fortbildungsverordnung of 3 May 2002 ceased to apply.

    Source: BAProITFPrV (§§ 1, 35) · As of 2026-11-01 (abgerufen)

    Duration
    not documented yet
    Cost
    not documented yet
    Funding
    not documented yet
    Salary
    not documented yet

    Your next step: Ask your IHK about exam dates and admission for the Bachelor Professional in IT.

  • Trainer (trainer aptitude exam AEVO)

    You train apprentices in recognised occupations. The exam covers the four fields of action of the AEVO.

    Why you fit

    You explain data and dashboards to non-technical people and write documentation. The AEVO gives you the formal proof for training in recognised occupations.

    The route there

    Further training and exam
    Trainer aptitude exam under the AEVO at the IHK. Four fields of action, a written part on a PC, a practical part with a presentation or training situation and a technical discussion. At IHK Düsseldorf timely online registration is enough; if you live outside the IHK district, you need a certificate of your employer's location or the course location.

    Source: IHK Düsseldorf: Ausbilderprüfung · As of 2026-11-01 (abgerufen)

    Duration
    not documented yet
    Cost
    Exam fee at IHK Düsseldorf: 269.00 euros (supplementary practical part only: 140.00 euros). Course costs depend on the provider.

    Source: IHK Düsseldorf: Ausbilderprüfung · As of 2026-11-01 (abgerufen)

    Funding
    not documented yet
    Salary
    not documented yet

    Your next step: Register online with your IHK and ask about exam dates.

What matters to you

Choose what matters to you, if you like. We then show the matching facts about this job. There is no weighting, no rating and no overall score.

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Important to you

Without a selection you get a general orientation: salary, collective agreements, skills, career and knowledge are in the sections of this page. Choose above what matters to you and we will point you to the matching places.

How we assign facts
  • Financial situation: Salary, Pay scales
  • Security & predictability: Pay scales, Job market
  • Work environment & belonging: No data
  • Recognition & competence: Skills
  • Growth & self-determination: Career, Skills

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