Senior Data Analyst - Customer Data
Senior Data Analyst - Customer Data

Senior Data Analyst - Customer Data

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse customer data using SQL to provide actionable insights for better decision-making.
  • Company: Established retail business with a strong focus on team culture and collaboration.
  • Benefits: £50,000 salary, 28 days holiday, 13% employer contribution, and a discretionary bonus.
  • Why this job: Join a high-performing team with a 10/10 peer relationship score and make a real impact.
  • Qualifications: Strong SQL skills and experience with customer data analysis required.
  • Other info: Hybrid working model with excellent training and development opportunities.

The predicted salary is between 36000 - 60000 £ per year.

Method Resourcing have partnered with an established retail business who are looking to add a Senior Analyst into the Data team as they continue to go from strength-to-strength.

The role: Using mainly SQL, you will be responsible for analysing customer data to provide actionable insights that improve decision making to enhance their commercial performance. This company has 97% of clean data which allows for detailed data analysis, meaning more accurate, reliable, and efficient results!

Skills and experience they are looking for:

  • Strong SQL skills (core requirement this person will need to interrogate the data to provide more insights).
  • Experience working with customer data.
  • Excellent stakeholder engagement and communication skills, both written and oral.
  • Experience with reporting using Power BI ideally but can look at Tableau or Looker.

Preferred (not required): background in retail or related customer-focused environments.

Team culture is really important here, and recently, internal surveys scored the team a 10/10 in peer relationship! So if you’re looking to improve your work culture - this is the one for you.

Benefits:

  • 28 days' holiday + BH's
  • 13% employer contribution
  • Discretionary bonus
  • 20% employer discount
  • Discounted healthcare and life cover
  • 24/7 Doctor support
  • Enhanced family leave
  • Loyalty recognition & company share save scheme
  • In-house training and development

Working pattern: This role requires 2/3 days per week into the South Somerset area.

Unfortunately, no sponsorship can be offered on this role.

If this sounds of interest, please apply, or reach out for more information.

Senior Data Analyst - Customer Data employer: Method Resourcing

Join a thriving retail business in South Somerset as a Senior Data Analyst, where you will enjoy a supportive work culture that prioritises team relationships, evidenced by a perfect peer relationship score. With generous benefits including 28 days' holiday, a 13% employer contribution to your pension, and opportunities for in-house training and development, this role offers not just a job but a pathway to meaningful career growth in a data-driven environment.
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Contact Detail:

Method Resourcing Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Analyst - Customer Data

✨Tip Number 1

Network like a pro! Reach out to your connections in the industry, especially those who work in retail or data analysis. A friendly chat can lead to insider info about job openings that aren't even advertised yet.

✨Tip Number 2

Show off your SQL skills! If you get the chance for an interview, be ready to discuss specific projects where you've used SQL to derive insights from customer data. Real examples will make you stand out!

✨Tip Number 3

Prepare for stakeholder engagement questions. Brush up on how you've communicated complex data findings to non-technical folks. This is key in roles like the Senior Data Analyst position we're looking at!

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!

We think you need these skills to ace Senior Data Analyst - Customer Data

SQL
Data Analysis
Customer Data Analysis
Stakeholder Engagement
Communication Skills
Reporting using Power BI
Tableau
Looker
Retail Experience
Team Collaboration

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your SQL skills and experience with customer data. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.

Showcase Your Communication Skills: Since excellent stakeholder engagement is key for this role, make sure to demonstrate your communication skills in your application. Whether it’s through clear writing or examples of past collaborations, let us know you can connect with others effectively.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!

How to prepare for a job interview at Method Resourcing

✨Master Your SQL Skills

Since strong SQL skills are a core requirement for this role, make sure you brush up on your SQL knowledge before the interview. Practice writing queries and be ready to discuss how you've used SQL to analyse customer data in past roles.

✨Showcase Your Stakeholder Engagement

This company values excellent communication skills, so prepare examples of how you've effectively engaged with stakeholders. Think about times when your insights led to improved decision-making and be ready to share those stories.

✨Familiarise Yourself with Reporting Tools

While Power BI is preferred, having experience with Tableau or Looker can also work in your favour. Be prepared to discuss your experience with these tools and how you've used them to present data insights clearly and effectively.

✨Emphasise Team Culture Fit

With a team culture that scored 10/10 in peer relationships, it's important to convey how you can contribute positively to their environment. Share examples of how you've collaborated with teams in the past and what you value in a workplace culture.

Senior Data Analyst - Customer Data
Method Resourcing

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