Commercial Insight Analyst — Turn Data into Action

Alpkit UK

United Kingdom

Hybrid

GBP 22,000 - 31,000

Full time

14 days+
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Benefits offered by this job

Extra holiday
Family discount (you, family & friends
Life insurance
Critical illness cover
Green commuting credits
Cycle to work scheme
Volunteer days
Learning culture

Job summary

Alpkit is seeking a proactive Decision Support Analyst for our Alpkit Campus in Nottingham. This hybrid role requires 37.5 hours per week, with at least 60% campus presence.

You’ll turn data into insights to support commercial decisions across Retail, E-commerce, Marketing, Factory and Finance. Ideal for graduates or early-career analysts, you’ll learn fast in a fast-moving business and work with teams to understand sales, stock, customers and performance.

Qualifications

  • Strong numerical and analytical skills.
  • Good Excel skills, including formulas and Pivot Tables.
  • Strong understanding of data modelling using generative information.
  • Interest in data, customers and business performance.
  • Great attention to detail.
  • The confidence to ask questions and dig deeper.
  • The ability to explain numbers simply.
  • A proactive and collaborative approach.
  • Willingness to learn quickly and take on more responsibility over time.

Responsibilities

  • Build and maintain reports and dashboards that show us what’s really happening.
  • Analyse sales, stock, customer and trading trends.
  • Spot opportunities, risks and changes in performance.
  • Help teams understand the story behind the numbers.
  • Support commercial decisions with clear, useful analysis.
  • Answer questions from across the business with accurate data and insight.
  • Help improve data for forecasting, planning and performance reviews.
  • Keep reporting accurate, simple and easy to use.
  • Get to know Alpkit’s products, customers, channels and what drives our business.

Job description

Alpkit is seeking a proactive Decision Support Analyst for our Alpkit Campus in Nottingham. This hybrid role requires 37.5 hours per week, with at least 60% campus presence.

You’ll turn data into insights to support commercial decisions across Retail, E-commerce, Marketing, Factory and Finance. Ideal for graduates or early-career analysts, you’ll learn fast in a fast-moving business and work with teams to understand sales, stock, customers and performance.

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