- Company Name
- ME+EM Ltd
- Job Title
- Retail, CX and Finance Data Analyst
- Job Description
-
**Job Title:** Retail, CX and Finance Data Analyst
**Role Summary**
Analytical professional who turns retail, customer, and financial data into actionable insights, dashboards, and forecasts to drive store performance, customer retention, and new store openings. Works cross‑functionally with Commercial Analysis, Customer Care, and Retail teams.
**Expectations**
- Deliver high‑quality, timely data analyses and reports that influence commercial decisions.
- Build and maintain KPI dashboards, predictive models, and customer segmentation studies.
- Champion a data‑driven culture and challenge existing assumptions.
**Key Responsibilities**
- Analyze retail transactions, channel performance, and finance metrics to support new store openings and operational strategies.
- Create weekly/monthly commercial KPIs and customer metrics dashboards using data visualization tools.
- Develop and maintain predictive models for sales forecasting with the Retail & CX Director.
- Produce monthly/quarterly customer insights reports on product trends, seasonality, frequency, and returns.
- Generate ad‑hoc reporting on customer ordering behavior and store performance for leadership.
- Measure and report on clienteling campaign effectiveness, including A/B testing, across the UK, US, and international markets.
- Identify opportunities to broaden customer base, improve commercial results, and strengthen retention.
**Required Skills**
- Proven analytical experience in retail or customer‑focused industries.
- Strong handling of large transactional and online data sets.
- Proficiency in data visualization tools (e.g., Tableau, Power BI, Looker).
- Experience extracting and integrating data from multiple systems.
- Customer segmentation, personalization, and VIP program analysis.
- SQL literacy; experience with Snowflake preferred.
- Ability to conduct scientific method‑based performance analysis and A/B testing.
- Excellent cross‑functional relationship building and data‑driven communication.
- Passion for fashion and retail industry.
**Required Education & Certifications**
- Bachelor’s degree in Data Analytics, Statistics, Computer Science, Business Analytics, Finance, or a related field.
- Certifications in SQL, data visualization, or business analytics (e.g., Tableau Desktop Specialist, Microsoft Power BI, Snowflake Advanced).