At a Glance
- Tasks: Lead the global rollout of our financial forecasting tool using IBM Planning Analytics.
- Company: Join Naylor's Equestrian LLP, a leader in financial transformation.
- Benefits: Opportunity for cross-training in Oracle EPM Cloud and career growth.
- Other info: Dynamic role with a focus on financial analysis processes.
- Why this job: Be part of a collaborative team dedicated to innovation and excellence.
- Qualifications: Strong TurboIntegrator skills and experience in user-centric dashboard design.
The predicted salary is between 60000 - 80000 £ per year.
Naylor's Equestrian Llp is seeking a high-calibre IBM Planning Analytics (TM1) Developer to lead the global rollout of our financial forecasting tool. This role offers the chance to work with various technologies and grow into a multi-platform expert, with cross-training in Oracle EPM Cloud solutions.
The ideal candidate will have:
- Strong TurboIntegrator skills
- Experience with user-centric dashboard design
- An understanding of financial analysis processes
Join us in a collaborative environment dedicated to transformation and excellence.
TM1 & Oracle EPM Architect - Global Finance Transformation in Bury St Edmunds employer: Naylor's Equestrian Llp
Naylor's Equestrian LLP is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those looking to make a significant impact in global finance transformation. With a strong focus on employee growth, we offer extensive training opportunities in cutting-edge technologies like IBM Planning Analytics and Oracle EPM Cloud, ensuring our team members develop into multi-platform experts. Located in a vibrant community, we provide a supportive environment where your contributions are valued and rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land TM1 & Oracle EPM Architect - Global Finance Transformation in Bury St Edmunds
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We think you need these skills to ace TM1 & Oracle EPM Architect - Global Finance Transformation in Bury St Edmunds
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!
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Craft a Tailored Cover Letter:For a full-time role at Naylor's Equestrian Llp, 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 Naylor's Equestrian Llp. 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 Naylor's Equestrian Llp
✨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!
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✨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 Naylor's Equestrian Llp!
✨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.
