pmX Group

Data Analyst

pmX Group · Birmingham, Alabama, United States · €50K–€65K/yr

Business Consulting and Services · 51-200 employees

Mar 26
Junior (0-2 yrs) Full-time United States
Log in to apply, save this posting, or score it against your profile with AI.

About the role

You will transform raw data into actionable insights to influence strategic direction and performance within an automotive environment. You will collaborate directly with stakeholders across engineering, sales, and quality to build and maintain analytical models and dashboards.

What they look for

Python Pandas NumPy SciPy Data pipelines Databases ETL/ELT Data modeling Power BI Excel Azure Machine learning Analytics LLMs AI tools

Requirements

Candidates must hold a bachelor's degree in Computer Science, Engineering, Data Science, or a related field. You should have 1-2 years of experience in data analysis and proficiency in Python, SQL, and data visualization tools.

Benefits

Training programs Certifications Hands-on project experience

Full description

Your mission

At pmX Adah, our mission is to turn complexity into clarity.

We help organizations unlock the full potential of their operations by combining data, digital tools, and real-world execution expertise. Our focus is not just analysis, but impact, enabling better decisions, stronger processes, and measurable results across supply chain, quality, and IT.

In this role, you will directly contribute to transforming raw data into actionable insights that influence performance and strategic direction, particularly within a high-impact automotive environment.

Your profile

You are someone who enjoys working with data but also understands the business behind it.

You don’t just build dashboards for the sake of it, you want to understand what the data is telling and how it can drive better decisions.

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
  • First experience (internship or up to ~2 years) in data analysis, data science, or statistics
  • Strong skills in Python (Pandas, NumPy, SciPy) and working with data pipelines
  • Solid understanding of databases, ETL/ELT processes, and data modeling
  • Experience with Power BI or similar visualization tools
  • Advanced Excel skills
  • Familiarity with cloud environments (preferably Azure)
  • Basic understanding of machine learning concepts and modern analytics approaches
  • Interest or exposure to LLMs / AI tools is a plus

What really matters to us:

  • You are curious and ask “why” behind the numbers
  • You can translate complex data into something others can actually use
  • You are comfortable working across teams, not just behind a screen
  • You take ownership and like to build things that last

Why us?

Because we are not a typical consulting company.

  • Real impact, not slides

You will work on live systems, real data, and decisions that matter.

  • Close to the business

Direct collaboration with stakeholders across engineering, sales, and quality, not isolated analytics work.

  • Growth through responsibility

Early ownership of tools, dashboards, and analytical models that drive decision-making.

  • Modern tech stack

Exposure to Power BI, Azure, Python, and advanced analytics including predictive modeling and AI.

  • People-first culture

We invest in development, whether through certifications, training programs, or hands-on project experience.

  • Long-term perspective

We build sustainable solutions — not quick fixes.

About us

pmX is a participatively run consulting and engineering company based in Stuttgart, Germany. Our specialties include project management, process optimization, and quality engineering. We strive to provide excellent project execution by keeping people in focus. Our team spirit and value-based company culture separates us from others in the industry. This means succeeding together by maintaining sustainable business practices, showing respect, and thinking innovatively. We have built our principles together and our company processes, decisions, and goals are always transparent.