Data Analyst

Posted 3 Days Ago
Leicester, Leicestershire, England, GBR
In-Office
Entry level
Healthtech
The Role
Analyze complex financial and operational datasets using SQL, Databricks and Power BI. Responsibilities include sourcing and transforming data, developing data models and ETL/ELT processes, validating data quality, investigating discrepancies, creating reporting solutions, defining KPIs, analyzing trends and variances, and translating findings into actionable recommendations for Finance and Retail stakeholders.
Summary Generated by Built In

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


  • Use SQL/T-SQL to query, transform, analyse and optimise complex operational and financial datasets.


  • Use Databricks to interrogate and investigate data to provide valuable insights for our retails and stock operations.


  • Develop Power BI reporting to provide key insights to our Partners


  • Structure data to support high-performing Power BI solutions, with a strong understanding of DAX and data modelling.


  • Develop and maintain data quality, validation and governance processes to ensure reporting is accurate and trusted.


  • Define KPIs and reporting requirements with Finance and operational stakeholders.


  • Analyse performance, investigate variances and identify opportunities for improvement.


  • Translate complex data into clear, compelling stories and recommendations that influence business decisions.


  • 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.

 

  • Experience creating reliable, scalable data solutions for reporting and analytical consumption.


  • Strong analytical and problem-solving skills, with the ability to turn data into actionable business insight.


  • Excellent communication skills, with the ability to explain complex findings to senior and non-technical stakeholders.


  • 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


  • 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.

 

  • Experience with Databricks Workflows/Jobs and scalable ETL/ELT pipelines.


  • Experience with data governance and quality frameworks


  • Experience within Finance, Retail, Supply Chain or a similar operational environment.

#LI-DC1

About UsYou know Next, but did you know we’re a FTSE-100 retail company employing over 44,000 people across the Next group. We’re the UK’s 2nd largest fashion retailer and for Kidswear we’re the market leader. At the last count we have over 450 stores, plus the Next Online and it’s now possible to buy on-line from over 80 countries around the world! So we’ve gone global! About the Team
  • 25% off most NEXT, MADE*, Lipsy*, Gap* and Victoria's Secret* products (*when purchased through NEXT)
  • Company performance based bonus
  • Sharesave scheme
  • On-site Nursery available; OFSTED outstanding in all areas
  • 10% off most partner brands & up to 15% off Branded Beauty
  • Early VIP access to sale stock
  • Access to fantastic discounts at our Staff Shops
  • Restaurants with great food at amazing prices
  • Access a digital GP and other free health and wellbeing services
  • Free on-site parking
  • Financial Wellbeing - Save, track and enhance your financial wellbeing
  • Apprenticeship - Grow and develop on the job whilst gaining a qualification
  • Direct to Work - Discount online and instore, collect your items the next day for free from your place of work or local store
  • Support Networks - Access to Network Groups to empower and celebrate each other
  • Wellhub - Discounted flexible monthly gym memberships, with apps, PT sessions and more

Conditions apply to all benefits. These benefits are discretionary and subject to change. 

We aim to support all candidates during the application process and are happy to provide workplace adjustments when necessary. Should you need support with your application due to a disability or long-term condition, feel free to get in touch with us by email [email protected] (please include 'Workplace Adjustments' in the subject line), or call us on 0116 284 2486 and leave a voicemail.

Skills Required

  • Advanced SQL/T-SQL skills, including writing, optimizing and debugging complex queries for large datasets
  • Experience obtaining, extracting and working with data from multiple sources with a focus on accuracy and data integrity
  • Strong hands-on Databricks skills, ideally including notebooks, data modeling and ETL/ELT workflows
  • Ability to develop reliable and scalable data solutions for reporting and analytical use
  • Practical Power BI skills, including report and dashboard development, data modeling and DAX
  • Strong analytical and problem-solving skills with the ability to produce actionable business insight
  • Excellent communication skills for explaining complex findings to senior and non-technical stakeholders
  • Proactive ownership from requirements gathering through delivery
  • Background working in a large-scale operational environment
  • Python skills for data manipulation and scripting
  • Knowledge of Databricks Workflows/Jobs and scalable ETL/ELT pipelines
  • Understanding of data governance and data quality frameworks
  • Background in Finance, Retail, Supply Chain or a similar operational environment
  • Based in Leicestershire and able to work in the office five days per week
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The Company
HQ: Franklin Lakes, NJ
65,000 Employees
Year Founded: 1897

What We Do

BD is one of the largest global medical technology companies in the world and is advancing the world of health by improving medical discovery, diagnostics and the delivery of care. The company supports the heroes on the frontlines of health care by developing innovative technology, services and solutions that help advance both clinical therapy for patients and clinical process for health care providers. BD and its 65,000 employees have a passion and commitment to help improve patient outcomes, improve the safety and efficiency of clinicians’ care delivery process, enable laboratory scientists to better diagnose disease and advance researchers’ capabilities to develop the next generation of diagnostics and therapeutics. BD has a presence in virtually every country and partners with organizations around the world to address some of the most challenging global health issues. By working in close collaboration with customers, BD can help enhance outcomes, lower costs, increase efficiencies, improve safety and expand access to health care. In 2017, BD welcomed C. R. Bard and its products into the BD family. For more information on BD, please visit bd.com.

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