Data Analyst

Job Description - Data Analyst

About the Role

We’re looking for a data-savvy, hands-on analyst who’s comfortable working with Python and Power BI and has a basic understanding of Databricks. You don’t need to be an expert- but you should be curious, eager to learn, and comfortable working with data from multiple systems.

This is not just a pricing support role, it’s a key position in shaping how our Databricks environment connects to business reporting across the company. You’ll help the Market Intelligence and Global Pricing teams bridge technical data flows with business reporting and support the continued development of a Python-based pricing algorithm (developed with a top consultancy).

The ideal candidate has medium-level Python skills, can confidently navigate Power BI, and is open to learning more about Databricks, ETL, and data science. AI tools like ChatGPT or Copilot are part of your workflow, helping you write or troubleshoot scripts and think creatively about solutions.

Key Responsibilities

• Work with data stored in Databricks, including maintaining and improving a Python-based pricing allocation model (random forest + clustering) and building additional data pipelines as needed for business reporting.
• Use and adapt Python scripts to transform data from Databricks, ERP systems, and other internal sources into clean, BI-ready datasets.
• Build and maintain Power BI dashboards using multiple data sources: ERP (M3, BPCS), Excel, and customer inputs.
• Help manage basic ETL workflows: extract, clean, and transform data even without a dedicated data engineer.
• Define, configure, and register new data sources (e.g. Excel, CSVs) in Power BI and created structured, reusable models.
• Collaborate with business and IT stakeholders to identify and transform the right data within Databricks for dashboarding and reporting needs.
• Translate business questions into scalable datasets and intuitive Power BI dashboards for marketing, pricing, and executive teams.
• Gradually support more advanced analytics: clustering, A/B testing, predictive modeling, and performance diagnostics.

Who You Are

• Comfortable working with Python (medium level) and able to write, debug, or adapt data scripts.
• Confident using AI tools like ChatGPT or GitHub Copilot to create or fix Python code, with judgment on when to refine it manually.
• Familiar with or open to learning Databricks. Basic experience is a plus, and our IT team will help you develop further.
• Skilled in Power BI, especially with data modeling, DAX, and combining structured and unstructured sources.
• Comfortable navigating ERP systems, data lakes, and warehouse environments, even when data isn’t clean or standardized.
• Able to work independently to troubleshoot data issues and build end-to-end reporting solutions.
• A strong communicator who can explain technical results to commercial or non-technical audiences.
• Curious, proactive, and eager to grow your skillset in data science, predictive analytics, and data engineering over time.

Preferred Qualifications

• Bachelor’s or master’s degree in data science, Engineering, Business Analytics, Economics, or a related field.
• 4+ Years of experience in relevant field.
• Working knowledge of SQL, DAX, or similar query tools.
• Experience or interest in machine learning, clustering algorithms, random forest models, A/B testing, and hypothesis testing.
• Understanding of pricing, commercial analytics, or the mining/heavy equipment industry is a plus but not required.

Why Join Us?