At a Glance
- Tasks: Analyse data to identify trends and improve operational efficiency.
- Company: EnerMech, a leader in integrated energy solutions with 50 years of expertise.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Join a diverse team committed to innovation and operational excellence.
- Why this job: Transform data into insights that drive real change in global operations.
- Qualifications: Experience as a Business Analyst or Data Analyst with strong analytical skills.
The predicted salary is between 35000 - 45000 £ per year.
We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we've been energizing our clients across the world with unrivaled expertise, equipment, and technology that support the entire asset life cycle - offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions.
We're looking for a Business Analyst to support data-driven decision making across our global operations. This role will work closely with multiple business functions to enhance reporting, improve data quality, and deliver actionable insights that support operational efficiency and performance.
You’ll play a key role in transforming data into meaningful intelligence, identifying trends, and supporting leadership with clear, structured analysis.
Key Responsibilities- Analyse operational data to identify trends, risks, and improvement opportunities
- Develop and maintain dashboards and reports to support business performance tracking
- Ensure data accuracy, consistency, and integrity across systems
- Partner with stakeholders to understand reporting needs and translate them into analytical outputs
- Support process improvement initiatives through data-driven insights
- Conduct deep dives into key metrics to support strategic and operational decision-making
- Work with multiple data sources to build a single, reliable view of performance
- Proven experience in a Business Analyst or Data Analyst role
- Strong analytical mindset with the ability to interpret complex datasets
- Experience with data visualisation tools (e.g. Power BI, Tableau)
- Advanced Excel skills; experience with data modelling is a plus
- Strong attention to detail, particularly around data quality and validation
- Ability to work across multiple stakeholders and functions
- Commercial awareness and the ability to link data to business outcomes
EnerMech is dedicated to fostering a diverse and inclusive organization. We believe that diversity enriches our team, and we welcome applications from candidates of all backgrounds, cultures, and identities.
Business Analyst employer: EnerMech
EnerMech is an exceptional employer that prioritises employee growth and development within a dynamic and inclusive work culture. As a Business Analyst, you will have the opportunity to engage with diverse teams across global operations, utilising cutting-edge data visualisation tools to drive impactful insights. Our commitment to operational excellence and innovation not only enhances your professional skills but also contributes to meaningful projects in the energy sector, making your work both rewarding and significant.
StudySmarter Expert Advice🤫
We think this is how you could land Business Analyst
✨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 EnerMech!
✨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 Business Analyst at EnerMech.
✨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 EnerMech.
✨Apply Directly through Our Website
When you find a suitable opening like Business Analyst at EnerMech, 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 Business Analyst
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 EnerMech, 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 EnerMech. 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 EnerMech
✨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 EnerMech!
✨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.
