Proxima Data Analyst interview questions & guide 2026

The following questions reflect the patterns observed in Proxima interviews. While specific inquiries may vary based on the team's immediate project needs, these categories represent the core areas where you will be assessed.

Technical Proficiency

These questions test your hands-on ability to manipulate data, specifically focusing on your mastery of Excel and your logical approach to data problems.

• Work out the total cost for each supplier.
• How do you structure complex formulas to handle large datasets efficiently?

Preparation at Proxima requires a balanced approach. You must demonstrate both the technical "hard skills" required for data manipulation and the "soft skills" necessary to act as a translator between technical teams and business stakeholders.

Technical Competency – You will be tested on your ability to work under time constraints. Ensure you are fluid with Excel functions and comfortable working while sharing your screen, as interviewers look for logical, step-by-step problem-solving rather than just the final answer.

Stakeholder Management – Because this role acts as a bridge, you must demonstrate how you handle competing priorities. Focus on your ability to document requirements, maintain clear communication, and manage expectations when data quality issues arise.

Business Acumen – Understand the FMCG/CPG domain. You should be prepared to discuss how data analysis supports business goals like pricing, revenue management, or sales strategy.

The interview process at Proxima is designed to be rigorous but transparent, focusing on a mix of technical ability and cultural fit. You should expect a structured progression that begins with an initial screening call, followed by a technical assessment, and concludes with a competency-based interview. The pace is generally consistent, and the focus remains on your practical application of skills in real-world scenarios.

This timeline illustrates the progression from initial qualification to final behavioral evaluation. Candidates should view the technical stage as the primary "gate" and the subsequent competency interview as the opportunity to demonstrate their long-term growth potential and alignment with the team.

Technical Assessment

This is the most critical evaluation area. You will be expected to demonstrate proficiency in data manipulation, likely using Excel. Strong performance involves clean, efficient logic and an ability to navigate errors gracefully if they arise.

Be ready to go over:

• Data Harmonization – How to reconcile data from different sources or markets.
• KPI Definition – How to translate raw data into business-relevant metrics.

As a Data & Business Analyst, your day-to-day work centers on the Software Factory model. You will spend significant time performing data discovery and documenting business rules, ensuring that the data used by Product Managers and Data Engineers is reliable and scalable.

Collaboration is the heartbeat of this role. You will frequently interact with Power BI Developers to support reporting solutions, ensuring that the visual outputs align with the underlying business logic. You are responsible for maintaining a business glossary and ensuring that data concepts are harmonized across the organization. This requires a high degree of attention to detail and a commitment to maintaining documentation that supports long-term analytics goals.

Proxima seeks candidates who have moved beyond entry-level tasks and have a proven track record in Data & Analytics.

• Must-have skills:
  • Minimum 3 years of experience in Business Analysis, Functional Analysis, or Data Analysis.
  • Proven experience managing large-scale, multi-market datasets in the FMCG/CPG sector.
  • Strong proficiency in Excel and analytical reporting.
  • Professional fluency in English (B2/C1).
• Nice-to-have skills:
  • Experience with SQL, Azure, Power BI, and Databricks.
  • Familiarity with data modeling and commercial processes (pricing, revenue management).

Q: How difficult are the technical assessments? A: They are considered challenging due to the time constraints and the requirement to explain your logic while working. Focus on accuracy and clear, repeatable processes.

Q: What is the company culture like? A: Proxima emphasizes a collaborative, Agile working environment where career growth and continuous professional training are highly prioritized.

Q: How long does the process usually take? A: It typically spans three to four stages, starting with a recruiter screen and moving through technical and managerial interviews; most candidates find the communication to be professional and consistent.

Q: Can I use external tools during the technical test? A: While you may have access to standard software, the focus is on your independent problem-solving skills; relying too heavily on external aids can hinder your ability to demonstrate your core expertise.

• Prepare your environment: If the interview is remote, ensure your screen sharing is set up correctly. If using Excel, organize your work clearly so an interviewer can follow your steps.
• Document your process: Even if you get the right answer, explain the "why." Proxima interviewers are interested in your methodology.
• Align with the mission: Familiarize yourself with the FMCG/CPG sector. Understanding the business context will help you answer situational questions more effectively.
• Be ready for the "Why": Have a clear, concise narrative for why you want to work at Proxima specifically.

The Data Analyst role at Proxima is a high-impact position that offers a unique vantage point into the intersection of business strategy and data engineering. By mastering your technical fundamentals and demonstrating a clear, process-oriented approach to problem-solving, you will position yourself as a strong candidate for this team.

Preparation is your greatest asset. By reviewing these core evaluation areas and practicing your communication, you can approach your interviews with confidence. You can explore additional interview insights, practice questions, and preparation resources on Dataford to further refine your strategy and ensure you are ready for every stage of the process.

This module provides the current salary range for this position at Proxima. Use this as a baseline to understand the compensation structure, which typically reflects the seniority, technical requirements, and the high level of responsibility associated with a Data & Business Analyst role within the company.