Role overview
**About the Role**
We are seeking a highly motivated **Data Analyst** to join our growing Analytics team. The ideal candidate will be responsible for analysing large datasets, generating actionable insights, and supporting campaign performance measurement. This role requires strong analytical thinking, hands-on technical skills, and the ability to translate data findings into clear business recommendations.
**Key Responsibilities**
* Work closely with business and marketing teams to analyse campaign performance and identify key drivers of success.
* Extract, clean, and transform data from multiple sources using SQL and Alteryx.
* Build and automate data pipelines to support reporting and analytics initiatives.
* Perform exploratory data analysis and develop statistical models to uncover business insights.
* Apply foundational Machine Learning techniques for predictive and segmentation analyses.
* Create and maintain dashboards and reports to track KPIs using Excel or visualization tools.
* Communicate analytical findings and recommendations clearly to both technical and non-technical stakeholders.
* Collaborate with cross-functional teams to support data-driven decision-making across projects.
**Required Skills & Qualifications**
* Proficiency in SQL for data extraction and transformation.
* Strong working knowledge of Python (Pandas, NumPy, Scikit-learn, etc.).
* Hands-on experience with Alteryx for workflow automation and data blending.
* Solid understanding of statistics and hypothesis testing.
* Familiarity with Machine Learning fundamentals (regression, classification, clustering).
* Prior experience in Campaign Analytics or Marketing Analytics preferred.
* Strong Excel skills for reporting and analysis.
* Excellent communication and presentation skills with the ability to translate data into insights.
**Preferred Qualifications**
* Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Economics, or related field.
* Experience working in a retail or consumer business environment.
Job Type: Full-time
Work Location: Remote