At a Glance
- Tasks: Analyse data to improve pricing models and support decision-making in the energy sector.
- Company: Join SSE Airtricity, a leader in clean energy and innovative solutions.
- Benefits: Competitive salary, flexible working, health perks, and family-friendly policies.
- Other info: Inclusive workplace with opportunities for growth and development.
- Why this job: Make a real impact on the energy transition while developing your analytical skills.
- Qualifications: Strong numerical skills, advanced Excel, and familiarity with Python or SQL.
The predicted salary is between 50100 - 75100 £ per year.
Base Location: You'll be expected to spend 50% of your working week in either our Dublin or Belfast office.
Salary: €65,300 - €97,900 (ROI) or £50,100 - £75,100 (NI) + performance-related bonus + a range of benefits to support your finances, wellbeing and family.
Working Pattern: Permanent | Full Time | Flexible First options available.
The role:
Our Commercial function helps SSE Airtricity make better pricing decisions across our electricity and gas customer portfolios. We do this by building strong commercial models, reliable reporting, clear business processes and insight that helps the business understand what is driving performance. As a Lead Data Analyst, you will play a key role in improving the tools, models and processes used by the Pricing teams within the Commercial function. This is a role for someone who enjoys solving business problems with data; building models, improving reporting, automating manual processes and turning complex information into clear, useful insight. Rather than focusing only on day-to-day pricing activity, this role will help strengthen the foundations that pricing decisions are built on. You will work across areas such as customer profitability, pricing models, wholesale cost inputs, demand data, contract performance, margin reporting and scenario analysis.
A typical project could involve:
- Building a new pricing model in Excel or Python.
- Creating a Power BI dashboard for the wider team.
- Improving how data flows into a pricing process utilising tools such as Databricks.
- Helping automate a manual reporting process that currently takes too much time.
You will:
- Build, improve and maintain pricing, profitability and forecasting models used across the Commercial team to support repeatable business processes.
- Develop tools, dashboards and reports to give clearer visibility of pricing performance, margin, risk and commercial trends, to help Pricing colleagues make faster, clearer and better-evidenced decisions.
- Work with large volumes of customer, contract, consumption, pricing and market data, turning raw information into structured, analysis-ready datasets.
- Support the wider pricing team by making complex calculations, reports and models easier to understand, use and maintain.
- Work with IT, data and business colleagues to improve how data is sourced, structured, governed and used in commercial decision-making.
You have:
- Strong numerical reasoning and the ability to work confidently with complex data, calculations and commercial assumptions, in order to break down complex issues and build practical solutions.
- Advanced Excel skills and experience using Power BI to create dashboards, visualise performance and communicate insight.
- Familiarity with Python, Databricks, SQL or similar tools, particularly when used to handle large volumes of data.
- Strong communication skills, with the ability to explain technical work in plain English and articulate the value of what you have built.
About SSE:
SSE’s purpose is to be restless every day until we make electricity clean, affordable and available for all. We do this by developing, building, operating and investing in electricity infrastructure and businesses needed in the energy transition. This includes electricity transmission and distribution networks, onshore and offshore wind farms, hydro-electric power and flexible thermal generation. We also provide products and services for businesses and other customers. Our investment plan will see SSE invest £33bn in critical electricity infrastructure to 2030. With over 725,000 electricity and gas customers across the island of Ireland, SSE Airtricity helps homes and businesses play their part in the clean energy transition. We're more than just an energy provider, delivering energy saving services to homes and businesses, helping them become more efficient and cost-effective.
Flexible benefits to fit your life:
- Enjoy 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.
- Generous family entitlements such as maternity and adoption pay, and paternity leave.
Work with an equal opportunity employer:
SSE will make any reasonable adjustments you need to ensure that your application and experience with us is positive. Please contact Andy on andrew.elder3@sse.com / 01738 340826 to discuss how we can support you. 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.
Commercial Lead Data Analyst employer: SSE plc
At SSE, we pride ourselves on being an excellent employer, offering a supportive work culture where safety and teamwork are paramount. Our employees benefit from a comprehensive range of perks, including full PPE, tools, and a company vehicle, alongside opportunities for professional growth through training and development. With a commitment to inclusivity and employee wellbeing, we ensure that our team members feel valued and empowered in their roles across the Southern region.
StudySmarter Expert Advice🤫
We think this is how you could land Commercial Lead Data Analyst
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We think you need these skills to ace Commercial Lead Data Analyst
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!
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How to prepare for a job interview at SSE plc
✨Brush Up on Your Statistics
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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
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✨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.
