At a Glance
- Tasks: Lead the rollout of JD Sports' flagship forecasting tool and design robust forecasting models.
- Company: Join JD Sports Fashion, a leader in the retail industry with a focus on innovation.
- Benefits: Enjoy staff discounts and personal development opportunities to grow your career.
- Other info: Be part of a dynamic team with opportunities for career advancement.
- Why this job: Make an impact by developing cutting-edge forecasting systems that drive business success.
- Qualifications: Expertise in IBM Planning Analytics, TurboIntegrator processes, and user-centric dashboard building.
The predicted salary is between 50000 - 65000 £ per year.
JD Sports Fashion is seeking a high-calibre IBM Planning Analytics (TM1) Developer to lead the rollout of their flagship forecasting tool. This role involves designing a robust forecasting model in IBM Planning Analytics, maintaining scalable forecasting systems, and ensuring integration with source systems.
The ideal candidate will have expertise in TurboIntegrator processes, user-centric dashboard building, and a strong grasp of financial planning.
Benefits include staff discounts and personal development opportunities.
TM1 Planning Analytics Developer - Forecasting & Dashboards in Bury employer: JD Sports Fashion
JD Sports Fashion is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With a strong emphasis on personal development, employees are encouraged to grow their skills while enjoying benefits such as staff discounts. Located in a vibrant environment, this role provides the unique opportunity to lead impactful projects that shape the future of forecasting in the retail sector.
StudySmarter Expert Advice🤫
We think this is how you could land TM1 Planning Analytics Developer - Forecasting & Dashboards in Bury
✨Get Involved in Data Science Meetups
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We think you need these skills to ace TM1 Planning Analytics Developer - Forecasting & Dashboards in Bury
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at JD Sports Fashion, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at JD Sports Fashion. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at JD Sports Fashion
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at JD Sports Fashion!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
