Data Analyst
Ekeq Open At a glance
Mid-level Data Analysis & BI role at Ekeq. Leicester · full-time · no salary stated · we estimate £40,000–£55,788 across the United Kingdom.
Ekeq has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Query, reshape and tune complex financial and operational data with SQL or T-SQL
- Use Databricks to investigate information about retail and stock operations and surface useful findings
- Build Power BI reports, structuring data with sound modelling and DAX practices
- Set reporting measures with finance and operations teams, then investigate results and performance gaps
- Maintain checks that keep reporting reliable, and turn analysis into recommendations for business decisions
What you bring
- Advanced SQL or T-SQL ability, including writing, troubleshooting and improving complex queries on large datasets
- A track record of building dependable data solutions for reporting and analysis
- Strong analytical judgement and clear communication with senior and non-technical audiences
- Experience in a large operational setting, taking solutions from initial needs through delivery
Who this fits
This hands-on, mid-level role suits someone comfortable working with complex data and explaining findings to both technical and non-technical colleagues. You must be based in Leicestershire and attend the office five days each week.
From the employer
The Role
As a Data Analyst within our Finance Operations team at Next, you will play a key role in turning complex operational and financial data into clear, actionable insight.
You will be a core builder of our analytical reporting capability, using SQL, Databricks and Power BI to create trusted data assets, develop reporting solutions and support better decision-making across Finance and Third-Party (TP) Retail Operations.
This is a hands-on role requiring strong technical capability alongside excellent analytical and stakeholder skills. You will work with large and complex datasets, build scalable data solutions, develop engaging Power BI dashboards and translate analysis into clear recommendations for technical and non-technical audiences.
Strong hands on experience in SQL is essential, experience with Power BI and Databricks is highly desirable
This is a fully office-based role and requires you to be based in Leicestershire, with attendance in the office five days a week.
What You Will Do
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Use SQL/T-SQL to query, transform, analyse and optimise complex operational and financial datasets.
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Use Databricks to interrogate and investigate data to provide valuable insights for our retails and stock operations.
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Develop Power BI reporting to provide key insights to our Partners
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Structure data to support high-performing Power BI solutions, with a strong understanding of DAX and data modelling.
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Develop and maintain data quality, validation and governance processes to ensure reporting is accurate and trusted.
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Define KPIs and reporting requirements with Finance and operational stakeholders.
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Analyse performance, investigate variances and identify opportunities for improvement.
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Translate complex data into clear, compelling stories and recommendations that influence business decisions.
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Deliver ad-hoc analysis and reporting to support key operational events and priorities.
- Work collaboratively with Finance, Retail and other analytical teams to improve reporting and analytical processes.
What You Will Bring
Essential
- Advanced SQL/T-SQL skills, with the ability to write, optimise and debug complex queries and work with large datasets.
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Experience creating reliable, scalable data solutions for reporting and analytical consumption.
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Strong analytical and problem-solving skills, with the ability to turn data into actionable business insight.
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Excellent communication skills, with the ability to explain complex findings to senior and non-technical stakeholders.
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A proactive approach with the ability to take ownership of solutions from requirements through to delivery.
- Experience working in a large-scale operational environment.
Desirable
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Python experience, particularly for data manipulation and scripting.
- Strong hands-on Databricks experience, ideally including notebooks, data modelling and ETL/ELT workflows.
- Strong Power BI development experience, including dashboard design, data modelling and an understanding of DAX.
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Experience with Databricks Workflows/Jobs and scalable ETL/ELT pipelines.
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Experience with data governance and quality frameworks
- Experience within Finance, Retail, Supply Chain or a similar operational environment.
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