Overview
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. We support groundbreaking transmission and distribution projects in four countries, ensuring their energy security for decades to come. 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.
Responsibilities
* 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.
Qualifications
* 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) and 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, Gold Investors In People accredited, with reported operating profit up 57% on prior year. We are proud of our diverse workforce, with people representing over 60 different nationalities and 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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