Data Analyst

Role Overview

The Data Analyst turns sales, customer, and inventory information into reliable reports and practical insights for the Commercial Department. By tracking performance against targets, improving the quality of CRM data, and highlighting emerging trends, this role helps managers make better decisions about sales activity, customer priorities, and stock planning.

Key Responsibilities

• Prepare daily, weekly, and monthly sales reports, breaking results down by product category, region, customer segment, sales representative, and performance against revenue targets.
• Compare actual results with targets, explain material variances, and identify performance trends, potential growth areas, and risks for management attention.
• Monitor individual and team KPIs, providing clear analysis to support performance discussions and commercial planning.
• Clean, standardize, and reconcile CRM records; identify duplicates, missing information, inactive accounts, and other data issues, and refer them to the appropriate commercial colleagues for correction.
• Build and maintain customer segments using factors such as purchasing frequency, account value, product interests, location, and account type; share approved segments with Digital Marketing for campaigns and outreach.
• Analyse customer portfolios and buying behaviour to help Customer Care and Business Development teams prioritize accounts.
• Track stock movement by category, flag fast-moving, slow-moving, and non-moving products, and prepare movement reports and demand forecasts to inform import planning.
• Report on stock liquidation initiatives and maintain clear management dashboards; respond to ad-hoc analysis requests, acknowledging them within two hours and delivering within 24 hours unless a different timeline is agreed.

Requirements & Qualifications

• A diploma or bachelor’s degree in Data Analytics, Business, Statistics, Mathematics, Information Technology, or a related discipline.
• One to three years of experience in data analysis; experience supporting sales or commercial teams is preferred.
• Advanced Microsoft Excel skills, working knowledge of SQL, and proficiency with at least one business intelligence or reporting platform, such as Power BI or Tableau.
• Experience with CRM systems and sales data is an advantage.
• Strong analytical skills, accuracy, and practical experience with data cleaning, standardization, and segmentation.
• Ability to explain findings clearly to non-technical colleagues and present data in accessible, decision-ready formats.
• Good organization and time management, with the ability to meet recurring reporting deadlines and manage multiple requests.
• Professional discretion when handling commercial and customer information, alongside a collaborative and proactive approach to identifying data or process issues.