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- Tasks: Analyse and report key business data to support decision-making in a dynamic environment.
- Company: Leading maritime business in Plymouth with a focus on innovation.
- Benefits: Competitive salary, career growth, and a collaborative team atmosphere.
- Why this job: Turn complex data into actionable insights and make a real impact.
- Qualifications: Experience in data analysis and advanced Excel skills required.
- Other info: Opportunity to work with cross-functional teams and improve reporting processes.
The predicted salary is between 30000 - 40000 £ per year.
A leading maritime business in Plymouth is seeking a Data Analyst to support project and operational teams by analysing, tracking, and reporting key business data. Working closely with the Commercial Lead, Finance team, and project stakeholders, this role will focus on maintaining high-quality data, developing meaningful reports, and generating insights that support informed decision-making across major projects. This is an excellent opportunity for an analytical professional who enjoys turning complex data into clear, actionable insights within a dynamic engineering environment.
Responsibilities
- Analyse project and operational data to support performance tracking and decision-making
- Develop and maintain data reports, dashboards, and monthly trackers
- Consolidate data from multiple sources to create accurate and reliable datasets
- Support the creation of forecasts, projections, and performance reports
- Monitor project metrics and identify trends, risks, and opportunities
- Work with cross-functional teams to interpret and communicate data insights
- Ensure accuracy, consistency, and integrity of business data
- Identify opportunities to improve data reporting processes and tools
- Support internal reporting cycles and operational reviews
- Provide ad-hoc data analysis and reporting as required
Requirements
- Strong experience in a Data Analyst or analytical role
- Advanced Microsoft Excel skills (complex formulas, pivot tables, data analysis)
- Ability to work with large datasets and multiple reporting sources
- Strong analytical thinking and problem-solving ability
- Excellent attention to detail and data accuracy
- Ability to present data insights clearly to technical and non-technical stakeholders
Desirable
- Experience working in engineering, maritime, manufacturing or project-based environments
- Experience using data visualisation tools such as Power BI or Tableau
- Understanding of project or operational performance reporting
- Degree in Data Analytics, Business Analytics, Mathematics, Finance or related discipline
Data Analyst in Plymouth employer: Symmetric Recruitment Ltd
Contact Detail:
Symmetric Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Plymouth
✨Tip Number 1
Network like a pro! Reach out to people in the maritime and engineering sectors on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects. Use real-world examples that highlight your ability to turn complex data into actionable insights. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions. Be ready to discuss your experience with Excel, data visualisation tools, and how you've tackled challenges in past roles. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Analysts like you. Keep an eye on our listings and make sure your application stands out by tailoring it to each role.
We think you need these skills to ace Data Analyst in Plymouth
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, reporting, and any relevant tools like Excel or Power BI. 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 engaging – 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. Whether it's tracking project metrics or developing reports, give us examples that demonstrate your analytical prowess.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Symmetric Recruitment Ltd
✨Know Your Data Tools
Make sure you brush up on your skills with Microsoft Excel and any data visualisation tools like Power BI or Tableau. Be ready to discuss how you've used these tools in past roles, as this will show your practical experience and ability to handle large datasets.
✨Understand the Business Context
Familiarise yourself with the maritime industry and the specific challenges it faces. This will help you tailor your answers to demonstrate how your analytical skills can directly support project and operational teams in making informed decisions.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or analyse data sets. Practice explaining your thought process clearly, as this will showcase your analytical thinking and problem-solving abilities to both technical and non-technical stakeholders.
✨Showcase Your Attention to Detail
During the interview, highlight examples where your attention to detail has made a significant impact on data accuracy or reporting processes. This is crucial for the role, so be prepared to discuss how you ensure the integrity of business data in your previous positions.