Customer Data Analyst

Customer Data Analyst

Posted 3 days ago by Harnham

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£450 Per day
Outside
Hybrid
London, England, United Kingdom
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A/B Testing Airflow Apache Airflow BigQuery Cloud Computing Cloud Technology Constituent Relationship Management Customer Analytics Customer Insights Customer Relationship Management (CRM) Software Data Engineering Data Extraction Data Science Embedding Extract Transform Load (ETL) Pandas (Python Package) Probability And Statistics Promotional Strategies Propensity Modeling Python (Programming Language) SQL (Programming Language) Statistics Storytelling Tableau (Business Intelligence Software) TensorFlow

Summary: The Specialist Retail Customer Analyst role involves embedding within a leading retail/FMCG organization to leverage consumer insights for enhancing loyalty programs, promotional strategies, and product assortments. The analyst will manage end-to-end customer analytics, including data extraction, modeling, and presenting insights to cross-functional teams. This position requires a strong analytical background and proficiency in tools like SQL, Python, and Tableau. The role is hybrid, requiring two days a week in the London office, with a flexible start date within the next month.

Key Responsibilities:

  • Develop customer segmentation, CLV and propensity models to inform targeting and promotions
  • Design and evaluate A/B tests and multivariate experiments on pricing, merchandising and UX
  • Build automated ETL pipelines and maintain real-time dashboards (Tableau/Power BI) for sales, churn and engagement metrics
  • Translate complex analyses into clear recommendations for marketing, e-commerce and executive stakeholders
  • Partner with data engineering and commercial teams to operationalise insights

Key Skills:

  • 3+ years' customer-insights or analytics experience in retail/FMCG
  • Bachelor's or Master's in a quantitative discipline (e.g., Economics, Statistics, Data Science)
  • Expert SQL skills and proficiency in Python or R for statistical modelling
  • Hands-on dashboarding experience with Tableau or Power BI
  • Demonstrable experience designing and analysing A/B tests
  • Strong storytelling and stakeholder-management skills
  • Full UK work authorization

Salary (Rate): £450.00/daily

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: outside IR35

Seniority Level: Mid-Level

Industry: Retail

Detailed Description From Employer:

Job Title Specialist Retail Customer Analyst Logistics

Contract length: 6 months

Day rate: £400-£450 (Outside IR35)

Location: Hybrid-2 days/week in London office

Start date: Flexible (within the next month)

The Context

You'll embed within a leading retail/FMCG organisation that treats consumer insight as its competitive edge. Your analyses will shape loyalty programmes, promotional strategies and product assortments to maximise retention, basket size and lifetime value.

Role Overview

As a Specialist Retail Customer Analyst, you'll own end-to-end customer analytics: extracting and modelling sales and behavioural data, building dashboards and presenting actionable consumer insights to cross-functional teams.

Key Responsibilities

  • Develop customer segmentation, CLV and propensity models to inform targeting and promotions
  • Design and evaluate A/B tests and multivariate experiments on pricing, merchandising and UX
  • Build automated ETL pipelines and maintain real-time dashboards (Tableau/Power BI) for sales, churn and engagement metrics
  • Translate complex analyses into clear recommendations for marketing, e-commerce and executive stakeholders
  • Partner with data engineering and commercial teams to operationalise insights

Must-Haves

  • 3+ years' customer-insights or analytics experience in retail/FMCG
  • Bachelor's or Master's in a quantitative discipline (e.g., Economics, Statistics, Data Science)
  • Expert SQL skills and proficiency in Python or R for statistical modelling
  • Hands-on dashboarding experience with Tableau or Power BI
  • Demonstrable experience designing and analysing A/B tests
  • Strong storytelling and stakeholder-management skills
  • Full UK work authorization

Desirable

  • Familiarity with cloud data platforms (Snowflake, Redshift, BigQuery) and ETL tools (dbt, Airflow)
  • Experience with loyalty-programme analytics or CRM platforms
  • Knowledge of machine-learning frameworks (scikit-learn, TensorFlow) for customer scoring

Technical Toolbox

  • Data & modeling: SQL, Python/R, pandas, scikit-learn
  • Dashboarding: Tableau or Power BI
  • ETL & warehousing: dbt, Airflow, Snowflake/Redshift/BigQuery
  • Experimentation: A/B testing platforms (Optimizely, VWO)

Desired Skills and Experience

  • 8+ years in retail/FMCG customer insights and analytics
  • Built customer segmentation, CLV, and propensity models in Python/R
  • Designed and analysed A/B and multivariate tests for pricing and promotions
  • Developed ETL pipelines and real-time dashboards in Tableau and Power BI
  • Extensive SQL for large-scale data extraction and transformation
  • Presented insights and recommendations to marketing and executive teams
  • Operationalised consumer insights with data engineering and commercial partners
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