Data Analyst

Data Analyst

Glasgow Full-Time 28800 - 48000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse data, create dashboards, and support innovative energy projects.
  • Company: Join Murphy, a leading engineering firm with a diverse and inclusive culture.
  • Benefits: Enjoy 27 days holiday, competitive salary, and professional development opportunities.
  • Why this job: Make a real impact in the energy sector while developing your data skills.
  • Qualifications: Proficiency in SQL, data visualisation tools, and basic construction knowledge.
  • Other info: Be part of a dynamic team with excellent career growth potential.

The predicted salary is between 28800 - 48000 £ per year.

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.

Check you match the skill requirements for this role, as well as associated experience, then apply with your CV below.

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 LinkedIn, Facebook, Instagram and X:

#MoretoMurphy

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 (phone number removed) to discuss in more detail. xiskglj

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 employer: J. Murphy & Sons Ltd

Murphy is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the engineering and construction sector. With a commitment to employee growth, we provide extensive professional development opportunities, competitive benefits including generous holiday allowances and a contributory pension scheme, and a diverse workplace that celebrates over 60 nationalities. Join us in London and be part of a team that is dedicated to delivering world-class infrastructure while ensuring your career flourishes.
J

Contact Detail:

J. Murphy & Sons Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst

✨Tip Number 1

Network like a pro! Reach out to current or former Murphy employees on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

✨Tip Number 2

Prepare for the interview by knowing your stuff! Dive deep into Murphy's projects and values. Show them you’re not just another candidate; you’re genuinely interested in their mission to improve life through infrastructure.

✨Tip Number 3

Practice your data skills! Brush up on SQL, Power BI, and any other tools mentioned in the job description. Being able to demonstrate your technical prowess during the interview will set you apart from the crowd.

✨Tip Number 4

Don’t forget to follow up! After your interview, send a quick thank-you email. It shows your enthusiasm for the role and keeps you fresh in their minds as they make their decision.

We think you need these skills to ace Data Analyst

Data Analysis
SQL
Power BI
Tableau
Python
Shell Scripting
ETL Tools
Data Integration
Data Modelling
Data Warehousing
API Integration
Statistical Programming
Cloud Platforms
Planning Techniques
Attention to Detail

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight relevant skills like SQL, data visualisation tools, and any experience with ETL processes. We want to see how your background fits with what we do at Murphy!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your experience aligns with our mission at Murphy. Keep it concise but impactful – we love a good story!

Showcase Your Data Skills: In your application, don’t forget to showcase your data analysis skills. Mention specific projects where you’ve used tools like Power BI or Tableau, and how you’ve turned data into actionable insights. We’re all about innovation and results!

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to us. Plus, we can’t wait to hear from you!

How to prepare for a job interview at J. Murphy & Sons Ltd

✨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 Industry

Familiarise yourself with Murphy's role in the energy sector and their approach to innovation. Being able to discuss current trends in energy and construction will show that you're genuinely interested in the company and its mission.

✨Prepare for Technical Questions

Expect questions about data modelling, ETL processes, and API integration. Review key concepts and be prepared to explain your thought process when tackling data-related problems.

✨Showcase Your Collaboration Skills

Since the role involves working with various stakeholders, think of examples where you've successfully collaborated with others. Highlight how you communicated complex data insights to non-technical team members.

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