Data Warehouse/BI Specialist (m/f/d)

Helping our customers to sell more parts & make things easier with our data and solutions based on our globally leading data standards

TecAlliance networks the data and knowledge of the entire global automotive aftermarket - from order to invoice. More than 900 colleagues work together tirelessly in 140 countries, and the trend is rising.

We are owned by 34 automotive companies such as Bosch, Continental, Rheinmetall or ZF and are proud to connect all the data for them.

As Data Warehouse / BI-team, it is important for us to be close to the requirements of our colleagues. Our aim is to think along and ahead.

In addition to common basic skills, everyone in the team has their own special expertise, which makes us strong as a team.

We learn from and help each other and are open to new technologies and approaches.

One of our exciting upcoming challenges is to migrate and merge two Data Warehouses into one using the latest technology.

These will also be your tasks as a Data Warehouse / BI Specialist

• Innovate and devise data mining models to facilitate cognitive analysis and support strategic decision-making.
• Craft compelling business intelligence reports and queries, empowering users to develop their own customized analytics solutions.
• Drive efficiency by automating data analysis and provisioning processes within the data warehouse
• Support process design and software selection to optimize business intelligence applications and architectures
• Foster collaboration across various corporate divisions, including conducting training sessions to empower users of the business intelligence system.

What you bring with you

• Several years of experience in the business intelligence environment / data warehousing
• Expert in Excel, SQL and Power BI
• Good knowledge in Microsoft Fabric, Azure Data Factory (ETL), Azure Analysis Services
• Excellent IT knowledge with strong analytical skills
• Fluency in English (B2 / C1)

Benefits

Contract & Salary

Contract title : your position is part of our job profile Data Warehouse / BI-Manager (m / f / d) . Our generic job profiles compare groups of employees with similar tasks that are part of the same area of responsibility / team.

The displayed title above ensures that you can find us.

Our fixed base salary is paid within 12 salaries and as extra, you have a 3% variable that is based on company performance

Company pension plan

Group accident insurance

Bike leasing

Discounts on our corporate benefits program with a broad range of partners

in case you work on one of our sites, we offer subsidized meals

Location-independency & flexibility :

Fully or hybrid remote : you can work up to 100% remotely within Germany.

Structured Onboarding : you receive an individual onboarding plan, have multiple onboarding days in the beginning, and a wealth of e-learning, training, and documentation besides your team at your disposal

Set-up : for this we will provide you with a tailored tech set-up (Dell devices, the standard remote package includes a notebook, 2monitors, headset, mobile phone, mouse + keyboard, docking station)

Vacation : 30 days a year

Balance job & life : Flexible working hours : you decide where and when you work

OKRs instead of micromanagement : our OKRs ensure that our leadership style is based on results, not the process. Or in other words, we practice extreme ownership.

Culture :

Kununu Top Company 2023 : we re proud to state that our score currently sits at 4,2 / 5 score with an 85%+ recommendation rate

We value ownership, cooperation, entrepreneurial thinking & and self-reflection in order to communicate effectively as ONE team

Team culture is Key! We have fun at work and beyond : There is always something to celebrate and regular team events.

Come as you are - do you prefer T-shirts over a shirt? Great.

Your contribution matters : shape our value-driven culture and agile transformation together with your colleagues we re curious, want to go one step further, build further trust together, and join forces to tackle our challenges as a team