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- Tasks: Analyse data to drive trading decisions and improve operational efficiency.
- Company: Join a leading retail company in the West Midlands with a focus on innovation.
- Benefits: Enjoy a hybrid work model and a competitive salary of up to £75,000.
- Why this job: Make an impact by turning data into actionable insights for a dynamic team.
- Qualifications: 4+ years in data analysis, strong SQL and Excel skills, experience with BI tools.
- Other info: Opportunity to collaborate with IT teams and present findings to senior stakeholders.
The predicted salary is between 60000 - 75000 £ per year.
Location: West Midlands (Hybrid)
Salary: Up to £75,000
Sector: Retail
Contact: jessica.dobie@forsythbarnes.com
Responsibilities:
- Analyse pricing, margin, channel, and product performance to support trading and commercial decisions
- Deliver insights into customer behaviour, segmentation, and sales trends
- Build dashboards and reports using tools like Power BI or Tableau to communicate findings
- Identify opportunities to improve operational efficiency and commercial outcomes through data
- Work with large datasets from multiple sources, ensuring data accuracy and consistency
- Support forecasting, performance tracking, and KPI reporting
- Collaborate with data engineers and IT teams to ensure access to clean, reliable data
- Present findings clearly and confidently to senior stakeholders and teams across the business
Key Requirements:
- 4+ years of experience in data analysis, ideally in retail, FMCG, or another consumer-focused sector
- Strong technical skills in SQL and Excel; experience with BI tools such as Power BI or Tableau
- Commercially minded with a strong understanding of trading metrics and performance drivers
- Proven ability to turn complex data into clear insights and business recommendations
- Comfortable working with stakeholders across commercial, marketing, and operational teams
- Attention to detail and strong problem-solving skills
- Exposure to Python, R, or basic data science techniques is a plus, but not essential
Contact Detail:
Forsyth Barnes Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst (Ref: 185807) (West Midlands)
✨Tip Number 1
Familiarise yourself with the retail sector and its key performance indicators. Understanding trading metrics will help you speak the same language as your potential colleagues and demonstrate your commercial awareness during interviews.
✨Tip Number 2
Brush up on your SQL and Excel skills, as these are crucial for the role. Consider working on personal projects or online courses that allow you to showcase your ability to manipulate and analyse data effectively.
✨Tip Number 3
Prepare to discuss your experience with BI tools like Power BI or Tableau. Have examples ready of how you've used these tools to create impactful dashboards or reports that influenced business decisions.
✨Tip Number 4
Practice presenting complex data insights in a clear and concise manner. You may be asked to explain your findings to senior stakeholders, so being able to communicate effectively is key to making a strong impression.
We think you need these skills to ace Senior Data Analyst (Ref: 185807) (West Midlands)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly in retail or consumer-focused sectors. Emphasise your technical skills in SQL, Excel, and any BI tools like Power BI or Tableau.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the Senior Data Analyst position and how your background aligns with the responsibilities outlined in the job description. Mention specific projects where you've delivered insights or improved operational efficiency.
Showcase Your Technical Skills: Be specific about your technical abilities. If you have experience with Python or R, even if it's basic, mention it. Highlight any dashboards or reports you've built and the impact they had on decision-making.
Prepare for Interviews: If invited for an interview, be ready to discuss your analytical approach and how you've turned complex data into actionable insights. Prepare examples of how you've collaborated with stakeholders and presented findings to senior teams.
How to prepare for a job interview at Forsyth Barnes
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL, Excel, and BI tools like Power BI or Tableau. Prepare examples of how you've used these tools to analyse data and deliver insights in previous roles.
✨Understand the Retail Sector
Familiarise yourself with key trading metrics and performance drivers specific to the retail industry. Being able to discuss these concepts will demonstrate your commercial awareness and relevance to the role.
✨Prepare for Stakeholder Engagement
Think about how you can present complex data insights clearly and confidently. Practice explaining your findings in a way that would resonate with senior stakeholders, as this is crucial for the position.
✨Emphasise Problem-Solving Skills
Be ready to discuss specific challenges you've faced in data analysis and how you overcame them. Highlighting your attention to detail and problem-solving abilities will show that you're equipped to handle the demands of the role.
