Hackajob is collaborating with Next Ltd to connect them with exceptional tech professionals for this role.
We are seeking a highly skilled and motivated Data Analyst to join the Finance Operations division at Next plc. As part of a dynamic team supporting Accounts Payable, Stock, and Banking functions, you will play a key role in delivering high-quality reporting solutions using modern tools and technologies. If you thrive in a fast-paced environment, enjoy problem-solving, and are driven by a desire to improve processes, this is the perfect opportunity for you.
Key Responsibilities
* Design & Develop: Build and maintain robust data pipelines and data models to streamline reporting processes.
* Ensure Data Accuracy: Ensure the accuracy, consistency, and completeness of data used for financial reporting.
* Automate Processes: Automate reporting workflows, integrate failure checks, and implement monitoring solutions for improved efficiency.
* Problem-Solving: Take ownership of resolving ongoing issues, ensuring they are addressed promptly and effectively.
* Stakeholder Management: Collaborate with internal teams and provide clear, insightful MI that supports decision-making across the business.
* Continuous Improvement: Recommend and drive forward process improvements and new techniques to enhance reporting and data analysis.
What We’re Looking For
* Advanced Technical Skills: Proficient in SQL (T-SQL / S-SQL), and experienced with SSMS or Data Bricks.
* Advanced Excel: Strong skills in Excel, including Power Pivot and Power Query, with the ability to work with complex datasets.
* Analytical Mindset: Ability to provide clear and concise insights, interpreting business data to drive decisions.
* Experience: 2-5 years of experience in a large organisation, ideally within a retail environment.
* Communication Skills: Ability to communicate effectively with both technical and non-technical stakeholders.
* Team Player: A collaborative mindset, with the ability to work well in a team-oriented environment.
Desirable Experience
* Experience with Power BI for data visualisation, including knowledge of DAX, M language, or Power Query.
* Azure Data Lakes knowledge and its application in data analytics.
* Familiarity with SSRS reporting tools.
* A desire to learn or experience with statistical languages such as Python or R.
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