Retail Data Analyst: Power BI & Dashboards

VPZ; City of Edinburgh; On-site; GBP 36,000 - 52,000; Full time

Job summary

VPZ, the UK’s leading specialist vape retailer, is seeking a Data Analyst at our Head Office in Newbridge, Edinburgh. You will turn complex information into clear recommendations that influence commercial and operational decisions.

You will build trusted dashboards, investigate performance trends across 190 stores and work with stakeholders to identify opportunities in areas such as store performance, product ranging, customer behaviour, stock management and campaign effectiveness.

Qualifications

• At least two years of experience in a Data Analyst, BI Analyst or comparable analytical role.
• Strong SQL skills, including joins, aggregations, CTEs and complex datasets.
• Advanced Excel skills.
• Experience creating dashboards and reports in Power BI or Tableau.
• Experience in retail, e-commerce analytics is advantageous.
• Experience with REST APIs, MongoDB, Python or R is beneficial.

Responsibilities

• Build and maintain dashboards and recurring reports in Power BI or Tableau.
• Analyse sales and operational performance across 190 stores to identify trends and opportunities.
• Evaluate product, category, store and channel performance to support decisions.
• Present regular performance updates and recommendations to senior stakeholders.
• Analyse customer behaviour, segmentation, retention and campaign effectiveness.
• Support demand forecasting, stock analysis and supply-chain optimisation.

Skills

SQL

Excel

Data interpretation

Stakeholder communication

Tools

Power BI

Tableau

REST APIs

MongoDB

Python

R

Job description

VPZ, the UK’s leading specialist vape retailer, is seeking a Data Analyst at our Head Office in Newbridge, Edinburgh. You will turn complex information into clear recommendations that influence commercial and operational decisions.

You will build trusted dashboards, investigate performance trends across 190 stores and work with stakeholders to identify opportunities in areas such as store performance, product ranging, customer behaviour, stock management and campaign effectiveness.