Data Analyst - Commercial

Data Analyst - Commercial

London Full-Time 30000 - 40000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse sales data to uncover trends and insights that drive business decisions.
  • Company: Join a small, dynamic retail company dedicated to exceptional products and data-driven strategies.
  • Benefits: Enjoy a competitive salary, holiday leave, pension contributions, and a collaborative work environment.
  • Why this job: This role offers a chance to impact the retail industry through analytics in a supportive team.
  • Qualifications: Experience in data analysis, strong Excel skills, and proficiency in BI tools like Power BI or Tableau.
  • Other info: Perfect for those passionate about data and looking to grow in a forward-thinking team.

The predicted salary is between 30000 - 40000 £ per year.

Job Description

The Data Analyst role in the retail industry focuses on analysing data sets to provide actionable insights that drive business decisions. This permanent position is an excellent opportunity for individuals passionate about analytics and data interpretation.

Client Details

This small sized organisation operates within the retail industry and is focused on delivering exceptional products and services to its customers. With a dedicated team, the company values precision and data-driven strategies to enhance its operations.

Description

Data Analyst – Commercial:

  • Analyse large data sets (Sales Data) to identify trends and actionable insights.
  • Develop and maintain dashboards and reports for the Analytics department.
  • Collaborate with cross-functional teams to support data-driven strategies.
  • Ensure data accuracy and integrity across all analytics platforms.
  • Provide regular updates and reports to key stakeholders.
  • Assist in identifying opportunities for process improvement through data analysis.
  • Support the implementation of new data tools and technologies.
  • Maintain compliance with data privacy and security standards.

Profile

Data Analyst – Commercial:

A successful Data Analyst should have:

  • Proven experience in a data or commercial analyst role (ideally in FMCG or retail)
  • Strong analytical skills with a commercial mindset
  • Advanced Excel skills (pivot tables, formulas, data manipulation)
  • Proficiency in Power BI, Tableau, or similar BI tools
  • Experience with EPOS/POS data.
  • Excellent problem-solving ability and high attention to detail
  • Strong communication skills with ability to present to non-technical stakeholders
  • Organised and able to prioritise tasks across teams and deadlines.

Job Offer

Data Analyst – Commercial:

  • Competitive salary ranging from £35000 to £40000 per annum.
  • Standard benefits package, including holiday leave and pension contributions.
  • Opportunity to work in the retail industry with a focus on analytics / commercial data.
  • Collaborative and supportive work environment in a small-sized organisation.

If you are ready to take the next step in your career as a Data Analyst, apply today to join a forward-thinking team.

Data Analyst - Commercial employer: Michael Page Technology

This small-sized organisation in the retail industry offers a dynamic and collaborative work environment where data-driven strategies are at the forefront of decision-making. Employees benefit from a competitive salary, standard benefits package, and opportunities for professional growth, all while contributing to a team that values precision and innovation in analytics. Join us to make a meaningful impact in a supportive atmosphere that encourages your passion for data interpretation.
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Contact Detail:

Michael Page Technology Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst - Commercial

✨Tip Number 1

Familiarise yourself with the retail industry, especially focusing on FMCG trends. Understanding the market dynamics will help you speak confidently about how your analytical skills can drive business decisions.

✨Tip Number 2

Brush up on your Excel skills, particularly pivot tables and data manipulation techniques. Being able to demonstrate your proficiency in these areas during discussions can set you apart from other candidates.

✨Tip Number 3

Gain hands-on experience with BI tools like Power BI or Tableau. If you can showcase a project or dashboard you've created, it will illustrate your capability to provide actionable insights effectively.

✨Tip Number 4

Prepare to discuss how you've collaborated with cross-functional teams in the past. Highlighting your communication skills and ability to present complex data to non-technical stakeholders will be crucial in this role.

We think you need these skills to ace Data Analyst - Commercial

Analytical Skills
Data Interpretation
Advanced Excel Skills
Power BI Proficiency
Tableau Proficiency
Sales Data Analysis
Data Accuracy and Integrity
Problem-Solving Skills
Attention to Detail
Communication Skills
Collaboration Skills
Organisational Skills
Task Prioritisation
Understanding of Data Privacy Standards

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly in retail or FMCG. Emphasise your analytical skills and any specific tools you've used, like Excel or Power BI.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data analysis and how it drives business decisions. Mention specific examples of how you've used data to identify trends or improve processes in previous roles.

Showcase Technical Skills: Clearly list your technical skills, especially advanced Excel capabilities and familiarity with BI tools like Tableau. Provide examples of how you've applied these skills in real-world scenarios.

Highlight Communication Skills: Since the role involves presenting insights to non-technical stakeholders, include examples of how you've effectively communicated complex data findings in an understandable way.

How to prepare for a job interview at Michael Page Technology

✨Showcase Your Analytical Skills

Be prepared to discuss specific examples of how you've analysed data in previous roles. Highlight your experience with sales data and any insights you derived that influenced business decisions.

✨Demonstrate Technical Proficiency

Make sure to mention your advanced Excel skills and familiarity with BI tools like Power BI or Tableau. You might even want to prepare a brief demonstration or example of a dashboard you've created.

✨Communicate Clearly

Since you'll be presenting to non-technical stakeholders, practice explaining complex data concepts in simple terms. This will show your ability to bridge the gap between data analysis and business strategy.

✨Prepare for Problem-Solving Questions

Expect questions that assess your problem-solving abilities. Think of scenarios where you've identified opportunities for process improvement through data analysis and be ready to share those experiences.

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