At a Glance
- Tasks: Analyse customer data to provide actionable insights and support marketing decisions.
- Company: Join a leading UK retailer with a focus on data-driven strategies.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Dynamic role with exposure to various datasets and trends in the retail industry.
- Why this job: Make a real impact by transforming data into insights that shape business strategies.
- Qualifications: Degree in Maths, Economics, or Stats; strong analytical and communication skills.
The predicted salary is between 30000 - 30000 £ per year.
Description
Graduate Insight Analyst -12 Month FTC - Watford - Hybrid - Salaries in the region of £30,000 depending on skills & experience - J13154
A fantastic opportunity for a Maths/Economics/Stats graduate to join a UK retailer within their marketing analytics team as a Graduate Insight Analyst.
You'll support the marketing team and wider business by delivering business critical analysis and allowing the business to practice data led decision making from your insights.
Working on a wide range of datasets including customer behaviour, shopping channel insight, loyalty scheme and a range of other business metrics.
You’ll be adaptable, have good time management, enjoy problem solving and enjoy working in a hybrid office and home working environment.
All applicants must hold full working rights for the UK and be located within a commutable distance to Watford
Key responsibilities
- Utilise customer data to generate comprehensive reports and dashboards, providing actionable insights for the wider business.
This includes managing reporting for the loyalty scheme and supporting internal programmes to ensure decisions are informed by customer perspectives.
You will employ appropriate metrics and data visualisations to present information clearly to all stakeholders.
- Provide analytical support for a wide range of business questions and conduct thorough investigations to present clear, evidence-based conclusions.
Specifically, you will deliver data-driven insights into customer behaviour and cross-channel metrics to enhance and optimise the multichannel customer experience.
- Stay informed about macro economy, retail, and customer trends, including delivering timely reports on macroeconomic indicators like Consumer Confidence, as well as market share.
You will also undertake regular competitor visits to understand and report on activity, helping to identify trends, threats, and opportunities.
- You will refine coding standards, implement advanced techniques to accelerate analytics, and utilise AI to expedite coding and analysis for new projects.
- Required Skills
- Education to degree level (numerical preferred), with at least A level Maths.
- Advanced spreadsheet and data handling, with experience in programming language (i. e. SQL, Big Query) (preferred)
- Strong analytical skills combined with confident communication skills
- An understanding and interest in the basics of analysis.
- Team Supporter
- Confident presenter
- Ability to derive and explain logic
- Ability to work at pace and to be flexible
- A desire to deliver accurately and on time
- #J-18808-Ljbffr
Graduate Insight Analyst in England employer: Datatech Analytics
Datatech Analytics is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration within the secure government and defence sectors. Employees benefit from meaningful projects that have a direct impact on national security, alongside opportunities for professional growth and development in cutting-edge technologies. With a hybrid working model and a focus on employee well-being, this role provides a unique chance to contribute to critical transformation programmes while enjoying a supportive and engaging workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Insight Analyst in England
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Datatech Analytics before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Datatech Analytics.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Datatech Analytics.
We think you need these skills to ace Graduate Insight Analyst in England
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Datatech Analytics, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Datatech Analytics, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Datatech Analytics’s attention and show the tangible impact of your work.
How to prepare for a job interview at Datatech Analytics
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Datatech Analytics.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Datatech Analytics.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Datatech Analytics.
