At a Glance
- Tasks: Lead data analysis and reporting to drive business performance and insights.
- Company: Join Scottish Power, a leader in renewable energy and innovation.
- Benefits: Enjoy competitive salary, 36 days leave, and flexible working options.
- Other info: Be part of a diverse team committed to a sustainable future.
- Why this job: Make a real impact on customer service and sustainability through data.
- Qualifications: Experience in data analysis and proficiency in tools like Excel and SQL.
The predicted salary is between 45400 - 56750 £ per year.
The Data Analyst is responsible for leading the delivery and development of reporting, analysis and insight across the Customer Service Directorate, providing a trusted view of business performance through operational, management and regulatory reporting.
Working as part of the newly repurposed Performance, Reporting & Insight team, the postholder will bring established analytical expertise and a strong understanding of data, reporting and insight to support decision making across the directorate. Using data from a range of sources, they will identify trends, risks, opportunities and root causes, translating complex information into actionable insight and recommendations that drive business performance and support operational and strategic decision making.
The role will become a subject matter expert for the operational areas they support, embedding themselves within teams to develop a detailed understanding of processes, performance drivers, customer outcomes and business challenges. Through strong stakeholder management and collaboration, they will build trusted relationships, shape reporting requirements, manage expectations and ensure insight reflects both the data and the operational context behind it.
As a key member of the team, the postholder will play an important role in establishing a single, trusted view of performance across Customer Service, leading improvements in reporting capability, data quality and analytical standards. They will use insight to positively influence decision making, challenge constructively where required and help ensure data is used to drive improved outcomes for customers, colleagues and the business.
What you’ll be doing:
- Develop and maintain insightful dashboards, KPI reporting and data visualisations using Excel, Tableau and Power BI to support strategic and operational decision making.
- Analyse complex datasets using tools such as Excel, Power Query, Tableau Prep, SQL, Python or R to identify trends, root causes and opportunities for business improvement, translating findings into actionable insight and recommendations.
- Develop strong relationships across the Customer Service Directorate, becoming an expert in the operational areas you support.
- Work closely with stakeholders to understand performance drivers, business challenges and operational context, ensuring reporting and insight are aligned to business needs and support informed decision making.
- Present insight, findings and recommendations to a range of stakeholders, using data to challenge constructively, influence decision making and drive improved business performance.
- Lead the delivery of regulatory and operational reporting requirements, ensuring outputs are accurate, timely and aligned to business, governance and compliance requirements.
- Drive improvements in reporting processes, data quality and analytical capability, contributing to the ongoing development of the Performance, Reporting & Insight function and embedding a culture of data-driven decision making across Customer Service.
What you'll bring:
- Experience in a forward-thinking Analyst or similar analytical role.
- Expert experience using Excel and reporting/visualisation tools such as Tableau, Power BI or similar to develop reporting, dashboards and insight.
- Experience using analytical tools such as SQL, Python, R, Power Query, Tableau Prep or similar to analyse complex datasets and support decision making.
- Strong analytical and problem-solving skills with the ability to identify trends, root causes and opportunities, translating data into actionable insight and recommendations.
- Excellent communication and stakeholder management skills, with the ability to influence decision making, present insight effectively and build trusted relationships across the business.
- A degree in a relevant discipline (e.g. Data Analytics, Mathematics, Statistics, Computer Science, Business Analytics or similar) or equivalent practical experience.
What’s in it for you:
- 36 days annual leave
- Holiday Purchase – perfect your work/life balance with extra annual leave
- Share Schemes
- Payroll Giving and Charity Matched Funding
- Technology Vouchers – save more and spread the cost of your technology purchases
- Electric Vehicle Schemes – to help you transition to green/clean driving
- Cycle to Work scheme and Public Transport Season Ticket Loans
- Healthcare benefit options including: Dental Insurance, Private Medical Insurance, Health Cash Plan and annual Health Assessments
- Life Assurance (4x salary)
- Access to Savesmart financial wellbeing support
- Plus shopping, leisure, restaurant and gym discounts, and unique employee deals on travel insurance and more
SP Energy Networks is part of the Iberdrola Group, one of the world’s largest integrated utility companies and a world leader in wind energy. We keep electricity flowing to homes and businesses through Central and Southern Scotland, North Wales and in the North West of England. We operate over 4000km of cables and lines that make-up the transmission network – connecting infrastructure like wind farms into the electricity system. It’s a role that puts us right at the heart of Scotland’s ambition to be Net Zero by 2044. And we’re taking it very seriously. We’re investing >£5.5 billion into our transmission network, directly supporting the rapid growth needed in renewable energy.
Inclusion, diversity, and a social purpose are at the heart of everything we do. Together with our values, they bring us together into a stronger, more sustainable business with direct links to the communities we serve. It takes all kinds of people to build a large-scale business like ours, so whatever your background, you’ll fit right in.
We are committed to providing reasonable support or adjustments in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to careers@scottishpower.com.
Data Analyst in Glasgow employer: Iberdrola
ScottishPower is an exceptional employer, offering a dynamic work culture that prioritises safety and employee well-being. With competitive salaries, generous benefits including 36 days of annual leave, flexible working patterns, and a commitment to professional growth, employees are empowered to thrive in their roles. The Glasgow, London, and Lowestoft locations provide unique opportunities to engage with cutting-edge projects in the offshore energy sector, making it a rewarding place for those passionate about electrical safety and compliance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Glasgow
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Analyst in Glasgow
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 Iberdrola, 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 Iberdrola. 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 Iberdrola
✨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 Iberdrola!
✨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.
