At a Glance
- Tasks: Transform complex data into clear insights that drive business impact and improve operations.
- Company: Join Energizer, a leader in supply chain analytics with a focus on innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic work environment with a strong emphasis on collaboration and career development.
- Why this job: Make a real difference by using data to influence decisions at all levels.
- Qualifications: Bachelor’s degree in relevant field and 3+ years in analytics or supply chain roles.
The predicted salary is between 45000 - 55000 £ per year.
You will love this job if you thrive on turning complex data into clear, compelling insights that drive real business impact. This role is ideal for someone who enjoys blending analytics, statistics, and supply chain knowledge to solve meaningful problems, tell data‑driven stories, and influence decisions at all levels—including senior leadership. If you’re a self‑starter who values cross‑functional collaboration, enjoys building dashboards and models, and wants to apply technical skills to improve operations, financial performance, and people’s day‑to‑day work, this is a highly rewarding opportunity.
The Sr. Analyst, Supply Chain Analytics is a critical member of the Global Product Supply organization. The role provides analytic support, creating complex models to identify and support efficiency improvements that achieve Energizer’s operational and financial objectives. You will develop and apply descriptive, predictive, diagnostic, and prescriptive analytics products by blending data to outputs such as dashboards/BI reports, scorecards, and visualizations. Combining experience in business analytics, statistics, and supply chain, s/he will support the team by identifying analytics problems that can be solved by statistical analysis, data storytelling, and business acumen.
Responsibilities
- Uses knowledge of business objectives, strategies, and needs to identify opportunities where data can be leveraged to achieve desired business benefits.
- Develops, maintains, and manages data visualization dashboards, reports, and tools used across the department using different systems (including Power BI).
- Assists leaders and key partners in driving results for large, data‑driven projects across the department.
- Understands current data context, processes, availability, and how existing data can be leveraged to achieve desired benefits.
- Combines data and business knowledge to advise on additional areas of focus for improvement across the organization.
- Accesses and aggregates large raw data sets from multiple internal and external sources and transforms them into meaningful analysis, actionable business insights, and practical information for decision‑making.
- Gives stakeholders confidence through accountability and ownership of projects and opportunities.
- Communicates complex information so that it is easy to understand and influences others to act based on decisive information provided.
- Able to blend complex structured and unstructured data from internal and external sources.
- Manages or collaborates on data analytics projects.
- Must be a self‑starter, able to work independently.
- Excellent quantitative, analytical, and problem‑solving skills.
- Analyzes information and effectively proposes solutions.
- Detail‑oriented with excellent organizational skills.
- Excellent interpersonal and customer‑service skills.
- Demonstrated ability to achieve results through cross‑functional work and decision‑making ability.
- Superior project management and presentation skills.
- Strong critical and creative thinking skills and business acumen.
- Strong storytelling and visualization ability (bringing key insights to the fore underpinned by detailed diagnostics).
Required Qualifications
- Bachelor’s Degree in Business, Analytics, Industrial Engineering or Supply Chain/Logistics (preferred).
- 3+ years’ experience in an analytics or supply‑chain role with significant exposure to supply‑chain operations and a proven track record in building and deploying statistical analysis to drive business value (e.g., finance, supply chain).
- Understanding of advanced analytic techniques and concepts.
- Advanced Microsoft Excel skills (complex formulas, pivot tables, look‑ups), PowerPoint, and data mapping.
- Experience blending data with SQL or Python and providing actionable insights through Power BI.
Preferred Qualifications
- Experience of analytics in a fast‑paced environment.
- Stakeholder management on multiple projects simultaneously.
- Extensive project‑management experience.
- Problem‑solving data integrity issues and applying root‑cause analysis and systemic thinking to solutions.
Power BI Developer with SQL, Supply Chain Analytics in High Wycombe employer: Energizer Holdings
Energizer is an exceptional employer that fosters a collaborative and innovative work culture, where employees are empowered to turn complex data into impactful insights. With a strong focus on professional growth, the company offers extensive opportunities for skill development in analytics and supply chain management, all while working in a dynamic environment that values diversity and inclusion. Located in a vibrant area, Energizer provides a supportive atmosphere that encourages creativity and teamwork, making it an ideal place for those seeking meaningful and rewarding careers.
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We think this is how you could land Power BI Developer with SQL, Supply Chain Analytics in High Wycombe
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Power BI Developer with SQL, Supply Chain Analytics in High Wycombe
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 Energizer Holdings, 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 Energizer Holdings. 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 Energizer Holdings
✨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 Energizer Holdings!
✨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.
