Retail Analytics Lead
4 weeks ago
Job Title: Retail Analytics Lead
About the Role:
We are seeking a highly skilled Retail Analytics Lead to join our team at Datonomy Solutions. This is an exciting opportunity for a senior data professional to lead and develop advanced analytical capabilities within our retail business.
Key Responsibilities:
The successful candidate will be accountable for developing and implementing analytical strategies, leading analytical projects, and providing forecasting and MI to support business decision-making. Key outcomes include evolving the retail ADA strategy development, implementation, analysis, and tracking, as well as providing timely and accurate production of MI reports to track ADA performance and variance analysis.
Required Skills and Qualifications:
- University degree in quantitative fields like Mathematics, Statistics, Operational Research, or Economics, or equivalent industry training and experience.
- Proven strategy development and implementation experience using advanced data analytics.
- At least 5 years analytical experience on a consumer portfolio dataset (retail, banking, telecoms, etc.). Retail experience advantageous.
- Deep knowledge of the retail industry and its operating dynamics.
- Strong proficiency in Python or equivalent analytical & statistical programming languages.
- Proficiency with data processing tools like Spark or Hadoop for working with large-scale datasets.
- Ability to work with diverse teams to ensure effective implementation of projects.
- Comprehensive understanding of portfolio fields and data relationships in order to improve analytical recommendations.
Benefits:
This role offers a competitive salary package, including a base salary of $120,000 - $180,000 per annum, depending on experience, plus benefits and opportunities for career growth and professional development.
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