At a Glance
- Tasks: Analyse data and processes to drive efficiency and strategic initiatives.
- Company: Join Aldi's award-winning team in a dynamic supply chain environment.
- Benefits: Competitive salary, flexible remote work, and generous annual leave.
- Other info: Opportunity for professional growth and impactful contributions.
- Why this job: Kick-start your career by shaping the future of business analytics.
- Qualifications: Experience in data analysis, automation, and strong technical skills required.
The predicted salary is between 55125 - 63500 £ per year.
A role in the National Supply Chain Business Partner Analytics (BPA) team is a great opportunity to play a key part in shaping the future of the team and its ways of working. As a Technical Analyst, you will play a critical role in analysing our data and processes, driving strategic initiatives that enhance our efficiency and overall performance. You will be instrumental in driving the BPA team towards an automated and efficient operating model, ensuring reduction of manual tasks and manual reporting wherever possible. You will gain invaluable experience developing processes and automation for both your direct team and wider departments, whilst simultaneously working towards a globally aligned target consisting of managing our own freight and customs whilst identifying cost savings for the Business.
This role will require someone who is resilient and experienced in high pressure environments, a confident individual who has exceptional communication skills, high attention to detail and a strong technical ability with an innate drive to proactively identify opportunities and deliver solutions.
Your New Role
- Deep understanding and mapping out of existing processes across the team.
- Identifying and developing automated and bespoke team processes to minimise manual workload whilst maximising performance against targets, allowing scalability of workload.
- Develop and maintain technical tools, reporting outputs, and process documentation, presenting these in various manners such as interactive dashboards and as per requirements of the audience.
- Identify and deliver process optimisation opportunities across upstream and downstream workflows.
- Lead not only the development but the testing, deployment, and training for new processes and automation solutions for all involved stakeholders.
- Apply data-led analysis and mathematical rigour to improve cost accuracy and business decision-making ensuring efficiency of processes at forefront of each decision.
- Partner with key stakeholders (e.g. National Buying, Customs, Inbound) to enhance data utilisation and reporting capabilities.
- Provide technical troubleshooting and support to ensure continuity of service and delivery timelines to all involved stakeholders.
- Complete route to market analysis through the Coupa system, proposing new solutions to existing Supply Chains for ALDI's Suppliers and converting suppliers to ALDI managed freight solutions.
About You
- Extensive experience working in a data driven and process focused environment.
- Proven experience delivering automation or process improvement initiatives.
- Experience of working with complex data sets and reporting outputs.
- Advanced Excel (including formulas, macros and VBA).
- Data manipulation and querying (SQL, Python or similar).
- Experience in Tableau.
- Process automation and optimisation.
- Strong analytical and problem solving capability.
- Ability to translate business problems into technical solutions.
- Ability to proactively work towards challenging deadlines through multi-tasking and resilience.
- Strong stakeholder management, collaboration and communication skills.
- High attention to detail and accuracy.
- Confident with making and owning decision making processes.
- Training or certification in data analysis, coding and process methodologies.
Desirable:
- Qualification in relevant analytical, data, technical, mathematical or data science fields.
- Experience in supply chain, procurement or retail analytics.
- SAP experience.
- Coupa experience.
What You'll get in Return
Salary starting from £55,125 rising to £63,500. 18 month Fixed Term Contract. Monday to Friday, 8:00am to 4:00pm, with the opportunity of 2 days a week remote working. 5 weeks annual leave plus.
Business Partner Analytics - Technical Analyst in London employer: Aldi Stores
Aldi is an exceptional employer that prioritises a positive and high-performing work culture, empowering Store Managers to lead their teams in delivering outstanding customer experiences. With a strong focus on employee growth opportunities and operational excellence, Aldi offers competitive benefits and a supportive environment that fosters both personal and professional development, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Business Partner Analytics - Technical Analyst in London
✨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 Aldi Stores 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 Aldi Stores.
✨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 Aldi Stores.
We think you need these skills to ace Business Partner Analytics - Technical Analyst in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Aldi Stores, 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 Aldi Stores, 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 Aldi Stores’s attention and show the tangible impact of your work.
How to prepare for a job interview at Aldi Stores
✨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 Aldi Stores.
✨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 Aldi Stores.
✨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 Aldi Stores.
