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Data Analyst

Job in Cambuslang, South Lanarkshire, G73 2HP, Scotland, UK
Listing for: J. Murphy & Sons Ltd
Full Time position
Listed on 2026-02-10
Job specializations:
  • Engineering
    Data Engineer
Job Description & How to Apply Below
Position: Data Analyst (Permanent)
Murphy is a leading international, specialist engineering and construction company founded in 1951 with a purpose to improve life by delivering world-class infrastructure. Operating in the United Kingdom, Ireland, Canada and America, Murphy provides better engineered solutions to infrastructure sectors including transportation; natural resources; energy and water.

Headquartered in London, Murphy has a number of related businesses – Ground Engineering;
Utility Connections;
Murphy Plant;
Murphy Process Engineering;
Pipeline Testing Services;
Specialist Welding Services; and Electrical Services. Murphy is a specialist in delivering pipelines, design, structural steel, tunnelling, fabrication, bridges and piling, and has a substantial holding of plant, equipment and facilities.

Murphy employs around 4,000 engineers, professional managers and skilled operatives around the world. Together, they work as ‘One Murphy’ - directly delivering the people, plant and expertise needed to make projects a success. Visit (url removed) or follow us on Linked In, Facebook, Instagram and X:

#Moreto Murphy

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…
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