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- Tasks: Analyse energy demand and produce forecasts for gas and electricity across GB & Ireland.
- Company: Join SSE, a leader in renewable energy, building the world's largest offshore wind farm.
- Benefits: Enjoy flexible working, discounts on healthcare, gym memberships, and generous family entitlements.
- Why this job: Be part of a team driving change in energy procurement while making a positive environmental impact.
- Qualifications: Strong maths skills and experience with data analysis; Excel required, Python and SQL preferred.
- Other info: SSE values diversity and offers support for all applicants to ensure a positive experience.
The predicted salary is between 35000 - 51000 £ per year.
SSE has a bold ambition - to be a leading energy company in a net zero world. We are building the world’s largest offshore wind farm, transforming the grid to provide greener electricity for millions of people and investing over £20 billion in homegrown energy, with £20 billion more in the pipeline.
SSE Energy Markets secure the energy needed to power customers' lives while creating value for SSE. Our Energy Markets trading teams buy the fuel needed to deliver cleaner energy and sell power generated in our wind farm, hydro and thermal assets back to the markets.
Base Location: Reading - this is a hybrid role working part of your week from the office at the advertised location.
Salary: £40,600 - £61,000 + 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: Within Energy Markets (EM), the Energy Demand Forecasting team work closely with the trading team, finance, retail and business energy - analysing the impact of weather, consumption trends, energy efficiency and strategic assumptions to enable EM to minimise balancing costs and optimise energy procurement costs.
You will:
- Produce accurate long and short-term forecasts of demand for gas and electricity across GB & Ireland.
- Provide support across all the forecast areas, streamlining the forecast process, improving accuracy as well as providing value-adding analysis to our internal customers with the opportunity to specialise in a particular area.
- Look for ways to continuously improve, creating and delivering change to the existing forecasting systems, processes and models.
You have:
- Strong mathematical skills with a relevant degree in a numerical subject desirable.
- Great technical skills and experience in the analysis of data and problem solving; experience of Excel is required with Python and SQL desirable.
- Good communication skills.
- Commercial experience and knowledge of forecasting techniques.
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. We are 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.
If you’re offered a role with SSE, you’ll need to complete a criminality check and a credit check before you start work.
Our Benefits:
- Sharesave Scheme
- 34 days of annual leave
- Option to purchase up to 10 days holiday
- Interest-free technology loans
- 24/7 free and confidential employee counselling service
- Private healthcare discounts
- Subsidised gym memberships
- 21 weeks full pay maternity leave
- Cycle to Work scheme with generous £2500 limit
- Interest-free salary advance to cover transport season tickets
Demand Forecasting Analyst employer: ENGINEERINGUK
Contact Detail:
ENGINEERINGUK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Demand Forecasting Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in energy demand forecasting. Understanding how weather patterns and consumption trends affect energy markets will give you an edge in discussions during interviews.
✨Tip Number 2
Brush up on your technical skills, especially in Excel, Python, and SQL. Being able to demonstrate your proficiency in these tools can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the energy sector, particularly those involved in demand forecasting. Engaging with industry experts can provide insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss your problem-solving approach in detail. Be ready to share examples of how you've improved processes or systems in previous roles, as this aligns with SSE's focus on continuous improvement.
We think you need these skills to ace Demand Forecasting Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Demand Forecasting Analyst position. Understand the key responsibilities and required skills, such as strong mathematical abilities and experience with data analysis tools like Excel, Python, and SQL.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your analytical skills, any commercial experience, and familiarity with forecasting techniques to make your application stand out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the energy sector and your understanding of SSE's mission. Mention specific examples of how your background and skills can contribute to the Energy Demand Forecasting team.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial for a role that involves data analysis.
How to prepare for a job interview at ENGINEERINGUK
✨Brush Up on Your Forecasting Techniques
Make sure you understand various forecasting methods and can discuss their applications. Be prepared to explain how you've used these techniques in past roles or projects.
✨Showcase Your Technical Skills
Highlight your experience with Excel, Python, and SQL during the interview. Be ready to provide examples of how you've used these tools to analyse data and solve problems.
✨Communicate Clearly
Since good communication skills are essential for this role, practice explaining complex concepts in simple terms. This will demonstrate your ability to convey information effectively to non-technical stakeholders.
✨Demonstrate Your Problem-Solving Ability
Prepare to discuss specific challenges you've faced in previous roles and how you approached solving them. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
