At a Glance
- Tasks: Drive data-powered decision making and translate complex data into clear insights.
- Company: Join a leading organisation focused on innovative analytics in finance and operations.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Work in a dynamic environment with hybrid locations in London and Sheffield.
- Why this job: Make a real impact by partnering with key stakeholders and delivering strategic analytics.
- Qualifications: Experience in analytics, data strategy, and strong collaboration skills required.
The predicted salary is between 49500 - 60500 £ per year.
Tes is seeking an experienced Senior Analytics Manager—Finance & Operations (Data Business Partner) to drive data-powered decision making.
You will partner with Finance, Operations and Transformation, translating complex data into clear insights and prioritising initiatives with measurable business impact.
The role blends strategic analytics with hands-on data product delivery, focusing on Looker dashboards, data strategy, and stakeholder collaboration across hybrid London/Sheffield locations.
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Senior Analytics Leader - Finance & Operations (DataPartner) in Sheffield employer: Tes Global
TES Global is an exceptional employer that fosters a creative and collaborative work environment in the vibrant city of Sheffield. With a strong focus on employee growth, we offer numerous opportunities for professional development alongside competitive benefits and a flexible hybrid working pattern. Join us to be part of a dynamic team dedicated to producing impactful video content that resonates with audiences across various platforms.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Leader - Finance & Operations (DataPartner) in Sheffield
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Tes Global.
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We think you need these skills to ace Senior Analytics Leader - Finance & Operations (DataPartner) in Sheffield
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 Tes Global, 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 Tes Global. 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 Tes Global
✨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 Tes Global!
✨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.
