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For Companies At a Glance
- Tasks: Transform complex data into insights and enhance customer experiences.
- Company: Join a leading sustainable retail company known for data-driven growth.
- Benefits: Enjoy a £55k salary, health insurance, pension, and generous holiday allowance.
- Why this job: Work in a hybrid role with a focus on innovation and collaboration.
- Qualifications: 5+ years in data analysis, expertise in SQL, GTM/GA4, and BigQuery required.
- Other info: Located in Didcot, easily accessible from nearby towns.
The predicted salary is between 33000 - 77000 £ per year.
Location: Didcot, Oxfordshire (Hybrid - 3 days in office, 2 days remote)
Salary: £55,000 + Excellent Benefits
Introduction
Are you passionate about turning complex data into actionable insights? We have a fantastic opportunity for a skilled Commercial Data Analyst to join an exciting company in the retail sector, based in Didcot, Oxfordshire. This role offers a salary of £55k plus excellent benefits and the flexibility of working 3 days a week in the office, with 2 days from home. The company, a leader in sustainable retail, has been in business for over a decade and is known for leveraging data to drive customer experiences and business growth.
Duties & Responsibilities
- Collaborate with data and tech teams to manage data pipelines across eCommerce platforms using GTM/GA4 into BigQuery.
- Develop and implement segmentation strategies to enhance customer experience and personalization efforts.
- Work with marketing teams to create pricing algorithms balancing product supply/demand across regions.
- Analyze customer acquisition channels, calculating ROI and attribution for various marketing efforts.
What Experience is Required?
- At least 5 years of experience in data analysis with a strong focus on data extraction, analysis, and manipulation.
- Excellent experience in margins, revenue and pricing.
- Expertise in GTM/GA4, BigQuery, SQL, and Excel (VBA & Macros).
- Familiarity with tools like Power BI and Python is a significant advantage.
Salary & Benefits
Salary: £55,000 per annum. Benefits include a comprehensive package offering health insurance, pension, and a generous holiday allowance.
Location
The position is based in Didcot, Oxfordshire, with easy access from surrounding towns including Abingdon, Oxford, Wallingford, and Henley-on-Thames.
How to Apply
To apply, please send your CV to Kate Morgan of CV Screen in strict confidence.
Commercial Data Analyst - SQL employer: CV Screen
Contact Detail:
CV Screen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commercial Data Analyst - SQL
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as GTM/GA4 and BigQuery. Having hands-on experience or even completing relevant online courses can give you a significant edge during interviews.
✨Tip Number 2
Prepare to discuss your previous projects where you've successfully turned complex data into actionable insights. Be ready to share specific examples that highlight your analytical skills and how they contributed to business growth.
✨Tip Number 3
Network with professionals in the retail sector, especially those who work with data analytics. Engaging in conversations on platforms like LinkedIn can help you gain insights about the company culture and expectations.
✨Tip Number 4
Research the company’s approach to sustainable retail and be prepared to discuss how your skills can contribute to their mission. Showing genuine interest in their values can set you apart from other candidates.
We think you need these skills to ace Commercial Data Analyst - SQL
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis, particularly focusing on SQL, GTM/GA4, and BigQuery. Use specific examples that demonstrate your ability to turn complex data into actionable insights.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and how your skills align with the company's goals in sustainable retail. Mention your experience with pricing algorithms and customer segmentation strategies.
Highlight Relevant Experience: In your application, emphasise your 5+ years of experience in data analysis, particularly your work with margins, revenue, and pricing. Include any familiarity with Power BI and Python as these are advantageous.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail, which is crucial for a data analyst role.
How to prepare for a job interview at CV Screen
✨Showcase Your Data Skills
Be prepared to discuss your experience with SQL, GTM/GA4, and BigQuery in detail. Bring examples of how you've used these tools to extract and analyse data, as this will demonstrate your technical proficiency.
✨Understand the Company’s Values
Research the company’s commitment to sustainable retail. Be ready to explain how your values align with theirs and how you can contribute to their mission of leveraging data for customer experiences.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills. Think of scenarios where you had to develop segmentation strategies or pricing algorithms, and be ready to walk through your thought process.
✨Highlight Collaboration Experience
Since the role involves working with various teams, share examples of successful collaborations. Discuss how you’ve worked with marketing or tech teams to achieve common goals, showcasing your teamwork abilities.
