Skills
SQL knowledge for data querying and manipulation.
Experience in retail, loyalty, e-commerce, or customer analytics settings.
Familiarity with ETL processes and data pipeline concepts.
Exposure to custom dashboard development or contemporary BI platforms.
Basic understanding of JavaScript, APIs, or cloud-based analytics solutions.

Essential
2–5 years of experience in a Data Analyst, BI Analyst, or Reporting Analyst role.
Advanced Microsoft Excel skills (pivot tables, complex formulas, modelling).
Proven hands-on experience with Power BI, Power Query, DAX, and Data Modelling.
Experience working with large, complex datasets.
Familiarity with GA4, Google Analytics, or other digital analytics platforms.
Robust analytical and structured problem-solving ability.
Experience producing dashboards, KPI reports, and management-level reporting.
Confident communicator with the ability to manage stakeholder relationships effectively.
Experience with process automation using Power Automate or similar tools.

Technical Skills

Required Nice to Have




Microsoft Excel (Advanced)
Power BI
Power Query
DAX
Data Modelling
Data Visualisation
Reporting & Dashboard Development
Power Automate
GA4 / Google Analytics
SQL
Python
JavaScript
APIs/REST
Next.js
Cloud Analytics Platforms

Job Responsibilities

Reporting & Dashboards
Design, build, and maintain Power BI dashboards and reports tailored to business stakeholders.
Develop and manage Excel-based reporting models and analytical tools.
Support monthly, weekly, and ad-hoc reporting requirements across the business.
Validate data accuracy and maintain consistency across multiple reporting sources.

Data Modelling & Analysis
Create and optimise data models, DAX measures, and calculations within Power BI.
Extract, transform, and cleanse data using Power Query.
Analyse large datasets to surface trends, opportunities, and actionable insights.
Independently investigate da

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