At a Glance
- Tasks: Design and deliver data-driven reporting solutions for complex project data.
- Company: Join a dynamic team in the energy sector with a focus on innovation.
- Benefits: Competitive hourly rate, holiday pay, pension, and professional development opportunities.
- Other info: Exciting opportunity for career growth in a supportive and collaborative environment.
- Why this job: Make an impact by turning data into actionable insights and collaborating with diverse teams.
- Qualifications: Strong Power BI and Excel skills, plus experience in Project Controls or PMO environments.
The predicted salary is between 88000 - 88000 £ per year.
Duration: 6 months+
Workload: Full-time hours
Setup: Hourly rate PAYE contracting inside IR35
Rate: £44.50 p / hour with holiday pay and pension on top
Location: Warrington (3 days onsite) with travel to Cumbria
We’re looking for Reporting Engineers to design and deliver data-driven reporting solutions that turn complex project data into actionable insights within a Project Controls environment.
Key Responsibilities:
- Design, build, and maintain reporting systems, databases, and dashboards
- Analyse complex datasets to produce clear, actionable insights for stakeholders
- Develop visualisations using Power BI and other reporting tools
- Create project control outputs such as Gantt charts, S-curves, and manpower histograms
- Collaborate with engineering, PMO, and data teams to define reporting requirements
- Optimise reporting solutions for performance, accuracy, and usability
- Provide ongoing support, troubleshooting, and enhancements to reporting systems
Must-Have Skills:
- Strong Power BI expertise and advanced Excel skills
- Proficiency in SQL, Python, or R for data manipulation and analysis
- Experience in Project Controls / PMO environments (Energy sector preferred)
- Ability to develop dashboards, visualisations, and reporting frameworks
- Solid understanding of baseline management and project reporting metrics
- Strong communication and stakeholder engagement skills
Nice-to-Have:
- Experience with Microsoft Fabric, Tableau, or similar platforms
- PMP or equivalent certification
- Experience across Oil & Gas, Nuclear, or Renewables
- UK Security Clearance (or eligibility)
Reporting Engineer in Warrington employer: Airswift
Join a forward-thinking company in Warrington that values innovation and collaboration, offering Reporting Engineers the chance to thrive in a dynamic Project Controls environment. With competitive hourly rates, holiday pay, and pension contributions, we prioritise employee well-being and professional growth, fostering a culture of continuous learning and support. Our commitment to excellence is matched by our focus on creating actionable insights that drive project success, making this an ideal workplace for those seeking meaningful and rewarding employment.
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We think this is how you could land Reporting Engineer in Warrington
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We think you need these skills to ace Reporting Engineer in Warrington
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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Craft a Tailored Cover Letter:For a full-time role at Airswift, 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 Airswift. 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 Airswift
✨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 Airswift!
✨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.
