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Form of work
SalaryIn the fast-paced retail industry, our client is seeking a dedicated Data Analyst for their Analytics team.
The role involves using analytical techniques to help drive business decisions and improve customer experience.
Client Details
Our client is a leading online retail business with over a thousand employees. They are known for their commitment to customer service and their vast selection of quality products. Located in Worsley, they provide an exciting and challenging work environment.
Description
The successful Data Analyst will;
- Analysing large data sets to identify trends and patterns
- Providing insights to the wider business based on data analysis
- Developing and maintaining dashboards for business reporting
- Working closely with the marketing and sales teams to drive business decisions
- Implementing data governance and ensuring data integrity
- Assisting in the development of new business strategies based on data insights
- Collaborating with the IT department to ensure data systems meet business needs
- Continuously improving analytics processes and methodologies
Profile
The successful Data Analyst will have;
- A degree in Mathematics, Statistics, Economics or a related field
- Advanced Excel skills (Data Connections, Power Query, Power Pivot)
- Proficiency in SQL and other data analysis tools
- Google Analytics (GA4), Python, Pandas, NumPy, Matplotlib experiences would be desirable
- Strong analytical and problem-solving skills
- Excellent communication skills, with the ability to present complex data in a simple and understandable way
Job Offer
- A generous salary in the range of £36,000 to £40,000 per annum
- Enhanced annual holiday allowance of 25 days plus 8 bank holidays
- Flexibility to choose working hours between 8 am-4 pm or 9 am-5 pm from Monday to Thursday and 8 am-4 pm on Fridays
- An opportunity to work in the exciting industry at a bustling location: Worsley
We encourage all candidates who meet the above criteria to apply for this exciting opportunity in the retail sector. Be part of a team that values data-driven decision-making and contributes to the success of the business.
