At a Glance
- Tasks: Design and maintain reporting systems to turn data into actionable insights.
- Company: Join a leading engineering consultancy with a focus on innovation.
- Benefits: Earn £44.50/hour, enjoy flexible work, and develop your skills.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Make a real impact in the energy sector while growing your career.
- Qualifications: Experience with SQL, Python, R, and reporting tools like Tableau or Power BI.
The predicted salary is between 44.5 - 44.5 £ per hour.
Certain Advantage are recruiting on behalf of our engineering consultancy for a Reporting Engineer with good knowledge of data analysis tools and languages like SQL, Python, R (or other) as well as reporting tools like Microsoft Fabric, Tableau, Power BI.
This is a full time contract role and is only available on a PAYE basis at £44.50/hour (PAYE Base) working 3 days from Warrington.
As a Reporting Engineer you'll be responsible for designing, implementing, and maintaining reporting systems that transform raw data into actionable insights for decision-making.
Job Specific Accountabilities- Design and Development: Create and maintain reporting systems, databases, and data processing procedures to ensure accurate and timely reporting.
- Data Analysis: Analyze complex data sets and generate meaningful reports and visualizations that support business strategies and decision-making processes.
- Collaboration: Work closely with data engineers, analysts, and other stakeholders to understand reporting requirements and deliver solutions that meet business needs.
- Optimization: Optimize existing reporting solutions for performance and usability, ensuring that reports are user-friendly and accessible.
- Support and Maintenance: Provide ongoing support for reporting systems, troubleshoot issues, and implement enhancements as necessary.
We're looking for candidates offering consistent years of experience performing in a PMO / Project Controls team with focus on Reporting Management activities in the Energy Sector, which may include Oil and Gas, Renewals and Nuclear.
Technical Skills- Proficiency in SQL, Python, R, or other data analysis tools and languages.
- Experience with reporting tools such as Microsoft Fabric, Tableau, Power BI, or similar platforms is required.
- Strong analytical abilities are essential for interpreting complex data and identifying actionable insights.
- Ability to identify and implement novel approaches to improve reporting processes and efficiency.
- Good knowledge of the core Project Controls disciplines.
- Good knowledge of baseline development and maintenance of baselines on a programme.
- Excellent report writing skills.
- Ability to obtain Security Clearance (either active or willing to undergo nuclear SC).
- Good interpersonal and people management skills.
- Good communication and presentation skills.
- Good knowledge of spoken and written English.
Does this sound like your next career move? Apply today!
Working with Certain Advantage: We go the extra mile to find the best people for the job. If you're hunting for a role where you can make an impact and grow your career, we'll work with you to find it. We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering.
If this job isn't for you, head to certainadvantage.co.uk and register for job alerts and career guidance tips.
Reporting Engineer x 2 (5509) in Plymouth employer: Certain Advantage
Certain Advantage is an exceptional employer that prioritises employee growth and development, offering a collaborative work culture where your contributions directly impact decision-making in the energy sector. With competitive pay and the opportunity to work with advanced data analysis tools in a supportive environment, you will thrive in your role as a Reporting Engineer while enjoying the benefits of working in Warrington, a location known for its vibrant community and accessibility.
StudySmarter Expert Advice🤫
We think this is how you could land Reporting Engineer x 2 (5509) in Plymouth
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We think you need these skills to ace Reporting Engineer x 2 (5509) in Plymouth
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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Certain Advantage. 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 Certain Advantage
✨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!
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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 Certain Advantage!
✨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.
