At a Glance
- Tasks: Analyse customer data to shape loyalty programmes and promotional strategies.
- Company: Join a leading retail/FMCG organisation that values consumer insights.
- Benefits: Competitive day rate, hybrid work model, and flexible start date.
- Other info: Opportunity to work with cutting-edge tools and grow your career in a dynamic environment.
- Why this job: Make a real impact on customer retention and engagement through data-driven insights.
- Qualifications: 3+ years in customer analytics with strong SQL and Python skills.
Logistics
Contract length: Flexible (within the next month)
Day rate: £400-£450 (Outside IR35)
Location: Hybrid - 2 days/week in London office
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.
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
- 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
Requirements:
- 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
- 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
Data & modelling: SQL, Python/R, pandas, scikit-learn
Tableau or Power BI
ETL & warehousing: dbt, Airflow, Snowflake/Redshift/BigQuery
Experimentation: A/B testing platforms (Optimizely, VWO)
Customer Data Analyst (hybrid) in London employer: Harnham - Data & Analytics Recruitment
Join a leading martech company that offers a remote-first work environment, allowing you to balance your professional and personal life while contributing to innovative projects backed by Google. With a strong focus on employee growth, you'll have the opportunity to collaborate with a talented team, enhance your skills in app development, and play a crucial role in shaping the future of digital marketing analytics. Enjoy competitive salaries and benefits as you thrive in a culture that values creativity and technical excellence.
Contact Details:
Harnham - Data & Analytics Recruitment Recruitment Team
