Business Intelligence Analytics Engineer (f/m/x)

TN Germany; Berlin; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading company in the automotive sector is seeking a Business Intelligence Analytics Engineer in Berlin. This role involves bridging technology and business by delivering data solutions to improve financial decision-making. The ideal candidate will have a strong background in finance, analytics, and SQL, along with excellent communication skills. Flexible working arrangements and a permanent contract are offered.

Leistungen

Secure employment with a permanent contract

Regular feedback sessions

Flexible working arrangements

Access to mental health resources

Discounts on brands

Car purchase discounts

Online language courses

Qualifikationen

• At least 2 years of professional experience in Finance & Accounting, Auditing, or Analytics.
• Strong SQL skills and experience with relational Data Warehouses.

Aufgaben

• Deliver data and BI solutions to stakeholders for financial decision-making.
• Support development and maintenance of BI architectures.
• Build automated BI reporting solutions and visualizations.

Kenntnisse

SQL

Data Analysis

Business Intelligence

Analytical Skills

Communication

Ausbildung

Bachelor's or Master’s degree in Business Administration

Degree in Finance & Accounting

Degree in Data Analysis

Tools

Data Warehouses

Data Integration Tools

Jobbeschreibung

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Business Intelligence Analytics Engineer (f/m/x), Berlin

Client: AUTO1 Group SE

Location: Berlin, Germany

Job Category: -

EU work permit required: Yes

Job Reference: 767e5104eee8

Job Views: 2

Posted: 14.05.2025

Expiry Date: 28.06.2025

Job Description:

Our Finance department acts as a trusted advisor to ensure senior management has the tools to make informed strategic and financial decisions. Functions include financial planning, treasury and cash management, corporate finance including consumer finance, debt and equity issues, investor relations, as well as M&A.

As a Business Intelligence Analytics Engineer, you will be a bridge between technology and business, delivering data and BI solutions to stakeholders to continuously improve financial decision-making.

Assess finance-related business processes and partner with stakeholders to understand business and technical requirements and implement accurate BI solutions.

Support the development, implementation, and maintenance of BI architectures (data warehouse and data integration processes).

Review and consolidate existing BI reporting solutions.

Build new automated BI reporting solutions and visualizations that provide valuable insights to key stakeholders.

Work closely with engineering and product teams, understanding data and development concepts, acting as a bridge between tech and business stakeholders.

Minimum Qualifications:

• Bachelor's or Master’s degree in Business Administration, Finance & Accounting, Data Analysis, or related fields; computer science, informatics, engineering, mathematics, or statistics are also welcome.
• At least 2 years of professional experience in Finance & Accounting, Auditing, Analytics, Business Intelligence, or Data Engineering, preferably in an e-commerce/internet-based company.
• Strong SQL skills and experience with relational Data Warehouses, data analysis, data modeling, BI solutions, orchestration solutions, and data integration tools.
• High affinity for numbers, attention to detail, and strong analytical skills.
• Good communication skills in English and a team-oriented mindset.

What We Offer:

• Secure employment with a permanent contract.
• Regular feedback sessions to support personal growth and idea contribution.
• Flexible working arrangements, including up to 3 days remote work per week.
• Access to mental health resources, discounts on brands, car purchase discounts, and online language courses.

Join us, building the best way to buy and sell cars!

Contact:

Katharina Ruhnke

At AUTO1 Group, we foster an open culture, value diversity, and welcome applicants regardless of gender, ethnicity, religion, age, sexual orientation, disability, or other non-merit factors.

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