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- Tasks: Lead complex data analysis and resolve discrepancies to enhance customer experiences.
- Company: Join a global tech partner serving 29m shoppers with luxury brands.
- Benefits: Enjoy 25 days holiday, private healthcare, and extra days off for life events.
- Why this job: Be part of a mission to hyper-personalise shopping experiences and work with top brands.
- Qualifications: Experience in data analysis, strong SQL skills, and knowledge of statistical methodologies required.
- Other info: Collaborate with diverse teams and communicate insights to senior stakeholders.
The predicted salary is between 43200 - 72000 £ per year.
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Our client is a global strategic technology and payments partner. They deliver seamless personalised shopping experiences to over 29m international shoppers, who in turn generate €22.9bn revenue.
With 2,000 employees spread across 50 countries, they integrate with 300,000 point of sale systems in a number of luxury retailers and brands including Harrods, Selfridges, John Lewis, Liberty’s, Apple, Cartier, De Beers, Hermès, Rolex, Dior and Jimmy Choo.
Their products include tax-free shopping, smart data and intelligence, marketing and sales, POS technology and payment solutions.
The role
Our client is on a mission to hyper-personalise their customer experiences across all touchpoints.
As Senior Analyst, this role supports Product Managers in developing a better understanding of customer needs and behaviours. This role oversees and resolves complex analytical issues, ensuring data accuracy, and optimising the use of analytics tools and methodologies.
We are looking for someone with deep understanding of data analysis, problem-solving skills, and the ability to communicate with both technical and non-technical stakeholders.
As Senior Data Analyst, you will:
- Lead on the resolution of complex analytical issues and data discrepancies.
- Develop and implement the processes for identifying, tracking, and resolving data issues.
- Collaborate with multi-disciplinary teams to understand data needs and to ensure data integrity.
- Optimise the use of analytics tools and methodologies to improve data accuracy and efficiency.
- Support the Analytics Team, providing technical guidance when needed.
- Communicate findings and recommendations to senior stakeholders throughout the organisation.
- Monitor and report on the progress of resolution efforts, and ensure timely and effective outcomes.
To apply, you should have:
- Experience working as a Data Analyst / Senior Data Analyst and a keen interest in data management, data governance, and data architecture.
- Knowledge of statistical methodologies and data analysis techniques.
- Intermediate to Advanced SQL skills.
- Advanced Microsoft Excel skills.
- Knowledge of ETL processes and automated data loads.
- Demonstrable experience working with consumer data, segmentation / targeting, and behavioural analysis.
- Strong problem-solving, communication, and organisation skills.
- Knowledge of industry standards and best practices in data analytics.
The perks include:
- 25 days holiday + bank holidays.
- An extra day off for moving to a new house; 2 days off for your wedding; 3 days off for charity / community days.
- Private healthcare and medical cashback plan.
Match Digital specialises in connecting talented individuals with businesses in the digital, tech, media and marcomms industries.
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Senior Data Analyst employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Familiarize yourself with the specific analytics tools and methodologies mentioned in the job description. Being able to discuss your experience with these tools during the interview will show that you're prepared and knowledgeable.
✨Tip Number 2
Highlight your problem-solving skills by preparing examples of complex analytical issues you've resolved in the past. This will demonstrate your capability to handle the challenges outlined in the role.
✨Tip Number 3
Since communication with both technical and non-technical stakeholders is crucial, practice explaining complex data concepts in simple terms. This will help you convey your findings effectively during interviews.
✨Tip Number 4
Research the company’s products and their impact on customer experiences. Understanding their business model and how data plays a role will allow you to tailor your responses and show genuine interest in the position.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Data Analyst position. Understand the key responsibilities and required skills, such as data analysis techniques, SQL proficiency, and problem-solving abilities.
Tailor Your CV: Customize your CV to highlight relevant experience in data analysis, data management, and any specific tools or methodologies mentioned in the job description. Use quantifiable achievements to demonstrate your impact in previous roles.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analytics and your understanding of the company's mission. Mention how your skills align with their needs and provide examples of how you've successfully resolved complex analytical issues in the past.
Highlight Communication Skills: Since the role requires communication with both technical and non-technical stakeholders, emphasize your ability to convey complex data insights clearly. Provide examples of past experiences where you effectively communicated findings to diverse audiences.
How to prepare for a job interview at TN United Kingdom
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of complex analytical issues you've resolved in the past. Highlight your problem-solving skills and how you approached these challenges, as this role requires a deep understanding of data analysis.
✨Demonstrate Technical Proficiency
Make sure to showcase your SQL and Excel skills during the interview. You might be asked to solve a problem or analyze a dataset on the spot, so brush up on your technical abilities and be ready to demonstrate them.
✨Communicate Effectively
Since the role involves communicating with both technical and non-technical stakeholders, practice explaining complex data concepts in simple terms. This will show that you can bridge the gap between different teams and ensure everyone understands the findings.
✨Understand the Company’s Products
Familiarize yourself with the company’s offerings and how they use data to enhance customer experiences. Being knowledgeable about their products will help you align your answers with their mission and demonstrate your genuine interest in the role.
