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- Tasks: Analyse data to drive decisions and improve business performance.
- Company: Join Element, a fast-growing global testing and certification company.
- Benefits: Enjoy 33 days holiday, flexible working, and a supportive work environment.
- Why this job: Make a real impact by leveraging data for innovative certification schemes.
- Qualifications: 3+ years as a Data Analyst with strong analytical and SQL skills.
- Other info: Work from home and be part of a diverse, inclusive team.
The predicted salary is between 30000 - 42000 £ per year.
Element is seeking a Data Analyst to join our team on an 18-month fixed-term contract, supporting our certification business at Warringtonfire. In this role, you will contribute to the development of both existing and new certification schemes by leveraging internal and publicly available data. You will play a key role in driving data-led decision making, identifying trends, and improving business performance through advanced data analysis and visualization.
Responsibilities
- Collaborate with project managers and stakeholders to understand analytics needs, define KPIs, and deliver actionable insights.
- Analyse complex datasets to answer key business questions and identify opportunities to improve efficiency and productivity.
- Develop and maintain interactive dashboards and visualisations using data from multiple sources.
- Design and implement scalable data acquisition and integration processes.
- Build and maintain databases and develop scripts to enable flexible data evaluation.
- Source and manage data from primary and secondary sources.
- Provide forecasting, capacity planning, and operational metrics to support business growth and planning.
Skills / Qualifications
- Minimum 3 years’ experience as a Data Analyst or in a similar analytical role.
- Strong ability to analyse complex datasets and identify trends and growth opportunities.
- Experience using data to support Business as Usual (BAU) operations and strategic decision making.
- Strong analytical skills including data mining, evaluation, and visualisation.
- Proficiency in SQL and Excel, with the ability to learn additional analytics tools.
- Experience designing databases and analytical models, including segmentation techniques.
- Practical experience with statistical analysis tools such as Excel, SPSS, or SAS.
- Programming experience with relevant analytical frameworks.
- Bachelor’s degree (or equivalent) in Mathematics, Computer Science, Economics, Statistics, or a related field.
- Strong collaboration skills with experience working in team-oriented environments.
- Knowledge of the TIC (Testing, Inspection & Certification) industry is advantageous.
Benefits Of Working At Element
- 33 days annual holiday, consisting of 25 days annual holiday and 8 days public.
- x4 Life Assurance.
- Legal & General Pension scheme with total contributions up to 12%.
- Flexible Working.
- Cycle Scheme.
- Free Onsite Refreshments.
- Recommend a Friend Bonus.
- Perks At Work Discount Scheme.
For more information on Element's BUILT division, please take a look at our e-brochure: e-brochure.
To apply please email derek.grist@element.com.
Company Overview
Element is one of the fastest growing testing, inspection and certification businesses in the world. Globally we have more than 9,000 brilliant minds operating from 270 sites across 30 countries. Together we share an ambitious purpose to ‘Make tomorrow safer than today’. When failure in use is not an option, we help customers make certain that their products, materials, processes and services are safe, compliant and fit for purpose. From early R&D, through complex regulatory approvals and into production, our global laboratory network of scientists, engineers, and technologists support customers to achieve assurance over product quality, sustainable outcomes, and market access. While we are proud of our global reach, working at Element feels like being part of a smaller company. We empower you to take charge of your career, and reward excellence and integrity with growth and development. Industries across the world depend on our care, attention to detail and the absolute accuracy of our work. The role we have to play in creating a safer world is much bigger than our organization.
Diversity Statement
At Element, we always take pride in putting our people first. We are an equal opportunity employer that recognizes diversity and inclusion as fundamental to our Vision of becoming “the world’s most trusted testing partner”. All suitably qualified candidates will receive consideration for employment on the basis of objective work related criteria and without regard for the following: age, disability, ethnic origin, gender, marital status, race, religion, responsibility of dependents, sexual orientation, or gender identity or other characteristics in accordance with the applicable governing laws.
Data Analyst – 18 Month Fixed Term Contract in High Wycombe employer: Element Materials Technology
Contact Detail:
Element Materials Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst – 18 Month Fixed Term Contract in High Wycombe
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Element on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by practising common data analyst questions. Think about how you can showcase your experience with SQL, Excel, and data visualisation tools. We want to see how you can turn data into actionable insights!
✨Tip Number 3
Show off your analytical skills with a portfolio! Create a few case studies or projects that highlight your ability to analyse complex datasets and identify trends. This will make you stand out in interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Element team.
We think you need these skills to ace Data Analyst – 18 Month Fixed Term Contract in High Wycombe
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with data analysis, SQL, and any relevant tools you've used. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Analytical Skills: In your application, don’t just list your skills; show us how you've used them in real-world scenarios. Share examples of how you've analysed complex datasets or created dashboards that drove decision-making.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Element Materials Technology
✨Know Your Data
Before the interview, brush up on your data analysis skills. Be prepared to discuss specific datasets you've worked with and how you identified trends or insights. This will show that you can leverage data effectively, which is crucial for the role.
✨Familiarise Yourself with KPIs
Understand key performance indicators relevant to the certification business. Think about how you would define and measure these KPIs in your previous roles. This will demonstrate your ability to align analytics with business goals.
✨Showcase Your Visualisation Skills
Prepare examples of dashboards or visualisations you've created. Be ready to explain the tools you used, like SQL or Excel, and how these visuals helped stakeholders make informed decisions. This will highlight your practical experience in data presentation.
✨Collaborate and Communicate
Since collaboration is key in this role, think of examples where you've worked with project managers or teams to deliver insights. Be ready to discuss how you communicate complex data findings in a clear and actionable way, showcasing your teamwork skills.