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Senior Insight Analyst

JD Sports Fashion

Bury

On-site

GBP 40,000 - 60,000

Full time

2 days ago
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Job summary

JD Sports Fashion is seeking a Senior Insight Analyst to analyze complex data and generate insights that support strategic decisions. The ideal candidate will have a strong background in data analysis, experience in a fast-paced environment, and proficiency in SQL. This role offers the opportunity to work with various stakeholders and contribute to the company's growth in the sports fashion industry.

Benefits

Staff discounts
Personal development opportunities

Qualifications

  • 3-5 years’ experience in advanced analytics and insights.
  • Strong knowledge of omni-channel and multi-device engagement.
  • Ability to extract actionable insights from diverse data sources.

Responsibilities

  • Analyze and interpret complex data to provide relevant conclusions.
  • Support stakeholders with quantitative analytics.
  • Prepare detailed analyses for presentation to senior stakeholders.

Skills

Data Analysis
Data Visualization
SQL
Excel
Communication
Market Analysis

Education

Undergraduate degree in a numerical subject

Tools

Google Analytics
R
Python
VBA

Job description

JD Sports - Head Office, Warwick House, Bury, Bury, United Kingdom Req #283

20 May 2025

Established in 1981 with a single store in the Northwest of England, the JD Group is a leading omni-channel retailer of Sports Fashion, Outdoors, and Gyms with colleagues working in stores across various retail fascias in many markets worldwide.

JD Sports Fashion Plc was listed on the London Stock Exchange in 1996, has been a FTSE100 company since 2019, and continues to grow both in the UK and internationally.

Our goal is to be the leading global omnichannel retailer in the sports and outdoor industry. To achieve this, we seek individuals who are committed to our strategic goals of being people-led, innovative, and customer-focused, providing operational excellence and identifying new growth areas.

Job Details
  • Job Title: Senior Insight Analyst
  • Location: BL9 8RR
  • Working rota: Monday - Friday
  • Hours: 40 hours per week
Role Overview

As the Senior Insight Analyst, you will analyze complex data to generate meaningful insights, visualize data effectively, and communicate findings persuasively to senior stakeholders. You will connect data points to create narratives that support strategic decisions.

Key Responsibilities
  1. Analyze and interpret complex data to provide relevant conclusions and recommendations.
  2. Synthesize ambiguous information to drive actionable insights through effective communication and visualization.
  3. Support stakeholders with quantitative analytics and appropriate applications.
  4. Develop insights and understanding of market and business trends.
  5. Utilize data to derive actionable insights and communicate them clearly.
  6. Perform deep dive analytics in a fast-paced environment.
  7. Work on projects related to loyalty, customer analytics, segmentation, CRM, Data Science, marketing analytics, channel analysis, and customer acquisition.
  8. Identify patterns and implications from data analysis.
  9. Prepare detailed analyses with high-level insights for presentation to senior marketing and business stakeholders.
  10. Provide regular market intelligence based on external business and landscape analysis.
Role Objectives & KPIs

The role aims to identify value and drive change by understanding customer behavior through deep analysis and presenting complex data in an accessible manner. Building trust and collaboration with stakeholders is essential, with a focus on action-oriented insights.

Skills & Experience
  • Undergraduate degree in a numerical subject (preferred).
  • 3-5 years’ experience in advanced analytics and insights.
  • Experience in a fast-paced, high-growth, consumer-facing business.
  • Strong knowledge of omni-channel and multi-device engagement across digital channels.
  • Ability to extract actionable insights from diverse data sources.
  • Proficiency in SQL is essential; experience with R or Python is advantageous.
  • Advanced Excel skills and VBA experience.
  • Experience with web analytics tools like Google Analytics.
  • Ability to work independently under pressure with excellent attention to detail.

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