At a Glance
- Tasks: Analyse complex datasets and develop forecasting models to drive operational excellence.
- Company: Join a high-profile Operational Excellence programme sponsored by the CEO.
- Benefits: 6-month contract with potential extension, hybrid working model, and career growth opportunities.
- Other info: Collaborate with senior leaders and enhance your analytical skills in a dynamic environment.
- Why this job: Make a real impact on productivity improvements through data-driven decision-making.
- Qualifications: Degree in relevant field and experience as a Data or Business Analyst.
Are you an accomplished Data or Business Analyst with advanced Excel and Power BI skills and a passion for operational improvement? We are looking for a Business Analyst to join a high-profile Operational Excellence programme supporting a group-wide strategy to improve productivity by 30%. Sponsored by the CEO, the programme is focused on site-by-site business transformation through data-driven decision-making, lean principles, digital automation and close collaboration with senior leaders. This is a high-impact opportunity to analyse complex datasets, develop forecasting and planning models, automate manual reporting processes and build Power BI solutions that improve operational performance across multiple sites and functions.
Contract: 6 months, with potential extension
Working pattern: On-site Monday to Thursday, working from home on Friday
Key Responsibilities
- Configure-to-Order Workstream
- Develop parts-level forecasts using historical sales, demand and production data.
- Build forecasting models that translate product demand into component-level requirements using generalised Bills of Materials.
- Develop analytical tools to identify part commonality across product families and child BoM structures.
- Translate demand forecasts into inventory and supplier stocking requirements.
- Design and maintain forecasting models supporting Operations, Supply Chain and Procurement decisions.
- Supply Chain and SIOP Support
- Take ownership of the Line of Balance process, including automated data extraction, transformation and reporting.
- Develop and maintain Power BI dashboards illustrating SIOP performance and key operational constraints.
- Build scenario models to evaluate different production, supply chain and inventory-planning options.
- Own and continuously improve production load and capacity models.
- Provide analytical support for supply-and-demand balancing activities.
- Procurement Automation
- Automate procurement KPI extraction and reporting processes.
- Develop repeatable reporting solutions that reduce manual effort and improve data accuracy.
- Create dashboards providing visibility of supplier and procurement performance.
- Identify opportunities to streamline processes through automation and digital solutions.
- Supply Chain Performance Analytics
- Develop and maintain performance-management dashboards and KPI reporting.
- Design Power BI solutions providing clear visibility of operational performance against targets.
- Analyse supplier data and develop vendor-performance dashboards.
- Generate actionable insights supporting supplier reviews, operational decisions and continuous improvement.
- Establish standardised reporting and performance-measurement processes across supply chain functions.
- Stakeholder Engagement and Transformation
- Communicate weekly with senior site leadership to review findings, align assumptions and maintain programme momentum.
- Present insights, recommendations and programme plans to executive-level sponsors.
- Define tactical implementation plans supporting both foundational improvements and transformational change.
- Coach site process owners to build capability and confidence.
- Lead agreed actions with strong sponsorship from senior site stakeholders.
About You
You will combine exceptional analytical capability with practical business understanding and a passion for automation. You will be comfortable working with large and complex datasets, developing sophisticated analytical models and presenting clear recommendations to senior stakeholders. You should be able to understand business problems quickly, create scalable analytical solutions and deliver high-quality outputs at pace.
Experience and Qualifications
- Degree in a relevant discipline or equivalent practical experience.
- Proven experience as a Data Analyst, Business Intelligence Analyst, Supply Chain Analyst, Business Analyst or Operational Performance Analyst.
- Experience within manufacturing, engineering, operations or supply chain environments is highly desirable.
- Experience developing forecasting, planning, production-load or capacity models.
- Ability to lead individual workstreams and collaborate with cross-functional teams.
- Strong potential to develop into a future leadership position.
Technical Skills
- Advanced Excel
- Expert-level Excel capability, including: PivotTables and PivotCharts, Power Query, XLOOKUP and advanced lookup functions, Complex formulas and analytical modelling, Data validation, cleansing and transformation, VBA and macros would be advantageous.
- Power BI and Data Visualisation
- Strong Power BI experience, including: Data modelling, DAX, Power Query, Dashboard development, Performance optimisation, Executive-level reporting.
- Automation and Analytics
- Strong experience in process and reporting automation.
- Ability to build repeatable and scalable analytical solutions.
- Understanding of data structures, data cleansing and data-governance principles.
- Ability to convert complex datasets into meaningful business insights and practical recommendations.
- Experience with SQL, Python, Power Automate or similar tools would be advantageous.
- Professional Skills
- Strong analytical and problem-solving ability.
- Excellent communication and presentation skills.
- Ability to synthesise insights from datasets, workshops, interviews and process observations.
- Confidence communicating with senior and executive-level stakeholders.
- Ability to lead workstreams and design processes with cross-disciplinary teams.
- Comfortable working at pace within a complex transformation environment.
- Passion for continuous improvement, automation and data-driven decision-making.
Data Analyst in Bristol employer: Mane Contract Services
Join a leading civil engineering contractor in East Sussex, where you will play a pivotal role in delivering a major bridge replacement project. Our company fosters a supportive work culture with a strong emphasis on employee growth, offering extensive training programmes and a competitive benefits package, including life assurance, a generous pension scheme, and a vibrant social calendar. With opportunities for career progression and a commitment to safety and quality, this is an excellent place for experienced professionals to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Bristol
✨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 Mane Contract Services 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 Mane Contract Services.
✨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 Mane Contract Services.
We think you need these skills to ace Data Analyst in Bristol
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Mane Contract Services, 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 Mane Contract Services, 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 Mane Contract Services’s attention and show the tangible impact of your work.
How to prepare for a job interview at Mane Contract Services
✨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 Mane Contract Services.
✨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 Mane Contract Services.
✨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 Mane Contract Services.
