At a Glance
- Tasks: Analyse data, create dashboards, and support innovative energy projects.
- Company: Join a leading energy company known for innovation and sustainability.
- Benefits: Generous holiday, competitive salary, bonuses, and professional development opportunities.
- Other info: Diverse workplace with excellent career growth and investment in your future.
- Why this job: Make an impact in the energy sector while developing your data skills.
- Qualifications: Proficiency in SQL, data visualisation tools, and understanding of planning techniques.
The predicted salary is between 36000 - 60000 £ per year.
Murphy is recruiting for a Data Analyst to work with the Energy Team on the SSE ASTI Framework.
Our business is well-known for its extensive in-house expertise, experience, and continuous drive to innovate within the industry to create added value for all our customers. Throughout our history we have strived to challenge the norm and incorporate a wide range of new technologies and capabilities to ensure we meet the ever-changing markets and demands. Today we support groundbreaking transmission and distribution projects in four countries - ensuring their energy security for decades to come.
We offer a wide range of services including design, construction and commissioning. We deliver Engineering, Procurement & Construction (EPC) projects serving both regulated and private customers along with technical and engineering solutions within the conventional power and energy transition markets. Our continual drive to innovate, while encouraging sustainability, ensures we remain at the forefront of the industry, and is demonstrated in our long-standing relationships with major energy providers in multiple countries.
A day in the life of a Murphy Data Analyst:
- Ensure that the planning and project controls procedures and processes are implemented.
- Establish major quantities and associated resource build ups and output rates.
- Assist with the production of planning deliverables including monthly CRF dashboards, KPI reports and productivity monitoring dashboards or datasets.
- Collect, clean, and validate data from various sources.
- Analyse large datasets to identify trends, patterns, and insights.
- Develop and maintain dashboards and reports using tools like Power BI, Tableau, or Excel.
- Design and develop data integration workflows and pipelines using ETL tools and scripting languages.
- Integrate data from various internal and external sources, including databases, APIs, cloud platforms, and third-party applications.
- Ensure data accuracy, consistency, and integrity across systems.
- Collaborate with data engineers, analysts, and business stakeholders to understand integration requirements.
- Critically analyse the performance of projects to identify areas of concern, providing guidance to the business on measures to improve performance.
Still interested, does this sound like you?
- Understanding of the principles of planning techniques and planning software such as Primavera P6.
- Basic understanding of construction techniques, methods and processes.
- Proficiency in SQL and data visualization tools (e.g., Power BI, Tableau) and scripting languages (e.g., Python, Shell).
- Strong understanding of data modelling, data warehousing, and API integration.
- Experience with statistical programming languages (e.g., Python, R) & ETL tools (e.g., Informatica, Talend, SSIS, Apache NiFi).
- Familiarity with cloud platforms (e.g., Azure Data Factory, AWS Glue, Google Cloud Dataflow).
What’s in it for you?
- 27 days holiday, plus bank holidays with the option to buy an additional 2 days holiday each year, holidays increase with length of service.
- Discretionary annual bonus and annual salary review.
- Above market rate contributory pension scheme.
- Life assurance, health screening and enhanced sick pay.
- Enhanced maternity and paternity pay and a maternity returners bonus.
- Extra weeks holiday for all employees getting married and a wedding bonus.
- Subsidised canteen facilities in core locations.
- Dedicated and continued investment in your professional development.
- Other Murphy benefits include retail discounts and cashback, discounted gym memberships, cycle to work scheme etc.
About Murphy
Murphy is formally recognised as a sector leading employer, Platinum Investors In People accredited along with reported operating profit up 57% on prior year. At Murphy, we are incredibly proud of our diverse workforce. Not only do our people represent over 60 different nationalities, but they also represent a wide range of backgrounds, ethnicities and ages. With a forward order book of £5.4bn and £23m Invested in environmentally friendly plant in 2024 there really is #MoretoMurphy
If you are unable to apply via the usual process, please call Jack Roberts on 07514 313533 to discuss in more detail.
Due to the requirements of the role, in addition to our standard identity and right to work checks, successful candidates will be asked to undertake a basic Disclosure and Barring Service check.
Murphy is unable to employ anyone who does not have the legal right to live and work in the UK.
Data Analyst in Rutherglen employer: Murphy
Murphy is an exceptional employer, offering a dynamic work environment that fosters innovation and sustainability within the energy sector. With a strong commitment to employee development, competitive benefits including generous holiday allowances, and a diverse workforce, Murphy provides a rewarding career path for Data Analysts looking to make a meaningful impact in the industry. The company's recognition as a Gold Investors In People accredited organisation further underscores its dedication to creating a supportive and inclusive workplace culture.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Rutherglen
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, dashboards, and any cool visualisations you've made. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions and scenarios. Think about how you would approach real-world problems and be ready to discuss your thought process.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Analyst in Rutherglen
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, SQL, and any relevant tools like Power BI or Tableau. 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 the energy sector and how your background makes you a great fit for Murphy. Keep it concise but impactful – we love a good story!
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's a dashboard you built or a dataset you analysed, we want to see your practical experience. Include links if possible – we love seeing your work in action!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and you’ll be set!
How to prepare for a job interview at Murphy
✨Know Your Data Tools
Make sure you brush up on your skills with SQL, Power BI, and Tableau. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Understand the Energy Sector
Familiarise yourself with the energy industry, especially the SSE ASTI Framework. Knowing the latest trends and challenges in energy transmission and distribution will show that you're genuinely interested in the role and the company.
✨Prepare for Technical Questions
Expect questions about data integration workflows and ETL processes. Brush up on your knowledge of scripting languages like Python and Shell, and be prepared to explain how you've applied these in real-world scenarios.
✨Showcase Your Analytical Skills
Be ready to discuss specific examples where you've analysed large datasets to identify trends or insights. Highlight your problem-solving approach and how your analysis led to actionable recommendations.
