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.
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Data Analyst in Rutherglen employer: Murphy
Murphy is an exceptional employer, offering a dynamic work environment in Kentish Town, London, where innovation meets collaboration. With a strong emphasis on professional development, employees benefit from salary reviews, bonuses, and unique perks that promote a healthy work-life balance. Join a team that values safety, quality, and team growth, making every project a rewarding experience.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Rutherglen
✨Get Involved in Data Science Meetups
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✨Show Off Your Projects
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✨Apply Directly through Our Website
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We think you need these skills to ace Data Analyst in Rutherglen
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 Murphy, 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 Murphy. 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 Murphy
✨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 Murphy!
✨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.
