At a Glance
- Tasks: Transform complex data into insightful models and reports for real business challenges.
- Company: Join SSE, a leader in energy transition and innovative technology.
- Benefits: Enjoy flexible working, competitive salary, and wellness perks like free online GP access.
- Other info: Inclusive workplace with excellent career growth opportunities.
- Why this job: Make a real impact in the energy sector while developing your analytical skills.
- Qualifications: Strong data modelling and analytical skills with experience in agile environments.
The predicted salary is between 69105 - 81406 £ per year.
Base Location: You'll be expected to spend 50% of your working week in one of the following locations: Glasgow, Perth, Inverness or Aberdeen.
Salary: £69,105 - £81,406 and a range of benefits to support your finances, wellbeing and family.
Working Pattern: Permanent | Full Time | Flexible, first options available.
The role involves joining the central Transmission Reporting and Analytics team working across a wide range of real business problems, shaping how data is used for reporting, self‑service and advanced analytics. This role focuses on turning complex data from across the organisation into trusted, reusable analytical models and datasets that enable consistent reporting and scalable insight.
- Analyse data from a range of sources, including platform data, operational systems and business‑managed datasets, shaping it into structured datasets for reporting and analytics use cases.
- Design and develop reusable analytical and reporting models that support consistent reporting, self‑service and advanced analytics.
- Translate business questions into clear data requirements, working closely with product, engineering and architecture teams.
- Define and document business logic, data definitions and transformations used within reporting and analytical models.
- Improve the usability and consistency of reporting data, following guidance from the Data Architecture team regarding standards for modelling, performance and reuse.
You have:
- Strong data modelling skills, with the ability to develop reusable reporting and analytical models that are scalable, usable and well‑structured.
- Proven ability to work with complex and sometimes fragmented data sources, including operational systems, spreadsheets and business‑managed data.
- Strong analytical skills, with the ability to turn ambiguous business questions into practical reporting and analytics solutions.
- Experience working in an agile environment, taking ownership of problems, working from loosely defined requirements and engaging directly with stakeholders.
- Proven ability to work across technical and business teams to define, challenge and deliver practical data solutions.
About SSE: SSE’s purpose is to provide energy needed today while building a better world of energy for tomorrow. We do this by developing, building, operating and investing in electricity infrastructure and businesses needed in the energy transition. Our Transforming for Growth investment plan sees us investing £33bn in critical electricity infrastructure across the five years to 2030. Our IT division powers growth across all SSE business areas by making sure we have the systems, software and security needed to take the lead in a low‑carbon world. They provide expertise, advice and day‑to‑day support in emerging technologies, data and analytics, cyber security and more.
Flexible benefits to fit your life include discounts on private healthcare and gym memberships, wellbeing benefits like a free online GP and 24/7 counselling service, interest‑free loans on tech and transport season tickets, or a new bike with our Cycle to Work scheme, as well as generous family entitlements such as maternity and adoption pay, and paternity leave.
SSE is an equal opportunity employer and will make any reasonable adjustments you need to ensure that your application and experience with us is positive. We're dedicated to fostering an open and inclusive workplace where people from all backgrounds can thrive. We create equal opportunities for everyone to succeed and especially welcome applications from those who may not be well represented in our workforce or industry.
Ready to apply? Start your online application using the Apply Now box on this page. We only accept applications made online. We'll be in touch after the closing date to let you know if we'll be taking your application further. If you're offered a role with SSE, you'll need to complete a criminality check and a credit check before you start work.
Lead Data Analyst in Glasgow employer: SSE PLC
SSE is an exceptional employer that prioritises employee wellbeing and growth, offering a competitive salary alongside a comprehensive benefits package including flexible working options, private healthcare discounts, and generous family entitlements. With a commitment to fostering an inclusive work culture, SSE empowers its employees to thrive in a collaborative environment while contributing to the vital energy transition through innovative data analytics and reporting solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Analyst in Glasgow
✨Tip Number 1
Network like a pro! Reach out to current employees at SSE on LinkedIn or through mutual connections. 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 diving deep into SSE's projects and values. Show us that you’re not just another candidate; you’re genuinely interested in how your skills can contribute to their mission of transforming energy.
✨Tip Number 3
Practice your data storytelling! Be ready to explain complex data concepts in simple terms. We want to see how you can turn those ambiguous business questions into clear, actionable insights during your interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re serious about joining the team at SSE.
We think you need these skills to ace Lead Data Analyst in Glasgow
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Data Analyst role. Highlight your data modelling skills and experience with complex data sources. We want to see how your background aligns with the job description!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how you can contribute to our team. Keep it concise but impactful, showing us your personality.
Showcase Relevant Experience:When filling out your application, focus on showcasing your experience in agile environments and your ability to work with both technical and business teams. We love seeing real examples of how you've tackled challenges!
Apply Through Our Website:Don't forget to apply through our website! It's the only way we accept applications, and it ensures your details are securely processed. Plus, it makes it easier for us to get back to you after the closing date.
How to prepare for a job interview at SSE PLC
✨Know Your Data Models
Make sure you brush up on your data modelling skills before the interview. Be ready to discuss how you've developed reusable reporting and analytical models in the past, and think of specific examples where you've turned complex data into structured datasets.
✨Understand the Business Context
Familiarise yourself with SSE's mission and the role of data in their operations. Prepare to explain how you can translate business questions into clear data requirements, and be ready to share examples of how you've worked closely with product and engineering teams.
✨Showcase Your Analytical Skills
Be prepared to demonstrate your strong analytical skills by discussing how you've tackled ambiguous business questions in previous roles. Think of a few scenarios where you provided practical reporting and analytics solutions that made a real impact.
✨Engage with Stakeholders
Highlight your experience working in an agile environment and engaging directly with stakeholders. Prepare to talk about how you've taken ownership of problems and collaborated across technical and business teams to deliver effective data solutions.
