Data Analyst
Birmingham Full-time Mid-level Data Analysis & BI
At a glance
Mid-level Data Analysis & BI role at pmx. Birmingham · full-time · no salary stated · we estimate $86,500–$135,038 across the United States.
Estimated pay
pmx has not published a salary for this role. The figure below is our estimate, not theirs.
$86,500 – $135,038
What the middle half of mid-level data analysis & BI roles in the United States paid, among postings that did state a salary.
Worked out from 796 postings that stated pay, median $107,500. Last updated Oct 24, 2026.
RoleData Analysis & BI
SeniorityMid-level
LocationBirmingham
EmploymentFull-time
PostedMar 26, 2026 · 7mo ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Turn raw data into insights that help guide performance and strategic decisions in automotive work
- Build and take responsibility for dashboards, tools, and analytical models used in decisions
- Work with stakeholders in engineering, sales, and quality to make analysis useful across teams
- Use data pipelines and modeling to support analysis on live systems
What you bring
- A degree in computer science, engineering, data science, or a related area
- Early experience in analysis, data science, or statistics, through an internship or up to about two years of work
- Strong Python skills, including Pandas, NumPy, and SciPy, plus experience working with data pipelines
- Knowledge of databases, ETL or ELT, data modeling, and advanced Excel; experience with Power BI or a similar visualization tool
Who this fits
This role suits someone who wants to connect data work to business decisions and can explain complex findings clearly. You’ll collaborate with engineering, sales, and quality stakeholders and take early ownership of dashboards, tools, and analytical models. The role is based in Birmingham, United States.
From the employer
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. 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.
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. 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
- 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
- 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.
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