Junior Data Analyst in Grangemouth

Junior Data Analyst in Grangemouth

Grangemouth Full-Time 28000 - 28000 £ / year (est.) On-site
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At a Glance

  • Tasks: Create and maintain Power BI reports to support data-driven decisions.
  • Company: Market leader in heavy plant lifting equipment with over 60 years of experience.
  • Benefits: Competitive salary, increasing holiday, medical cash plan, and life assurance.
  • Other info: Opportunities for personal development and training in a collaborative environment.
  • Why this job: Join a supportive team and make an impact with your analytical skills.
  • Qualifications: Proficiency in Power BI, Excel, and strong analytical skills required.

The predicted salary is between 28000 - 28000 £ per year.

Join our team as a Junior Data Analyst, focusing on creating and maintaining Power BI reports that support data-driven decisions across the group.

This role will cover current CRM data and future telematics solutions, working closely with business and engineering teams.

Working for the market leader in heavy plant lifting equipment sales, rental and aftercare the Junior CRM Developer will join an organisation with over 60 years’ experience supplying heavy lifting equipment to the port and mining industries of West & Central Africa.

The ideal candidate will have

  • Proficiency in Power BI, Fabric and Excel.
  • Strong analytical and problem-solving skills.
  • Basic understanding of data architecture and database concepts.
  • Good communication skills for working with cross-functional teams.
  • And ideally also have the following skills
  • Familiarity with CRM systems (Microsoft Dynamics preferred).
  • Experience with APIs for data extraction.
  • Knowledge of data modelling and DAX.

Key Responsibilities

  • Develop and maintain Power BI dashboards for CRM and telematics data.
  • Analyse data trends to provide actionable insights for customer satisfaction and operational performance.
  • Collaborate with stakeholders to understand reporting requirements.
  • Assist in integrating telematics data streams into analytics platforms.

What We’re Looking For

  • Highly organised with the ability to prioritise own workload in a busy pressured environment
  • Good level of education (Mathematics and English GCSE or equivalent)
  • Excellent interpersonal skills
  • Computer literate, strong demonstrable knowledge of MS Office, in particular Excel
  • Able to demonstrate strong administrative and organisational skills
  • Strong attention to detail

Why Join Us?

  • Competitive salary, minimum of £26 - 28,000 per annum depending on experience.
  • Benefits include increasing holiday with service, medical cash plan, life assurance and EAP.
  • Supportive and collaborative office environment
  • Opportunities for personal development and training
  • Be part of a company that values proactive thinking and continuous improvement.

Ready to apply?

If you\'re ready to bring your administrative expertise and customer-focused mindset to a growing team, we’d love to hear from you.

Apply now and help us deliver excellence every step of the way.

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Junior Data Analyst in Grangemouth employer: Paterson Simons & Co. (Africa) Ltd

Paterson Simons & Co (Africa) Ltd. is an excellent employer that fosters a collaborative work culture, encouraging innovation and professional growth for its employees. Located in a vibrant region, the company offers competitive benefits, including opportunities for skill development in data analytics, particularly with Power BI and Python, ensuring that team members can thrive in their careers while contributing to meaningful projects that enhance customer satisfaction and operational efficiency.

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Contact Details:

Paterson Simons & Co. (Africa) Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Junior Data Analyst in Grangemouth

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Paterson Simons & Co. (Africa) Ltd!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Junior Data Analyst at Paterson Simons & Co. (Africa) Ltd.

✨Leverage Professional Networks

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 Paterson Simons & Co. (Africa) Ltd.

✨Apply Directly through Our Website

When you find a suitable opening like Junior Data Analyst at Paterson Simons & Co. (Africa) Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Junior Data Analyst in Grangemouth

Proficiency in Power BI
Proficiency in Fabric
Proficiency in Excel
Analytical Skills
Problem-Solving Skills
Basic Understanding of Data Architecture
Basic Understanding of Database Concepts

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 Paterson Simons & Co. (Africa) Ltd, 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 Paterson Simons & Co. (Africa) Ltd. 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 Paterson Simons & Co. (Africa) Ltd

✨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 Paterson Simons & Co. (Africa) Ltd!

✨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.