Renewables Analytics Team Manager

Natural Power
Glasgow
3 weeks ago
Applications closed

Related Jobs

View all jobs

Machine Learning & Data Scientist

Sales Executive

Head of Sales (EMEA)

Performance Analyst

Head of Client Support Services

Software Engineer (Python React)

Reference:MAR20251585

Expiry date:11:13, Thu, 3rd Apr 2025

Location:Glasgow

Salary:Competitive

Benefits:Generous Annual Leave, Flexible Working, Pension, Employee Assistance Programme, Personal Insurances and a selection of elective benefits which include Health Plans, Discounts and Salary Sacrifice options.

At Natural Power, we have been pioneers of positive renewable change for 25 years. If you’re looking for a job in the renewable energy industry, we could be just the place to advance your career.

As we continue to grow, we are now seeking to strengthen our Analytics team with anRenewables - Analytics Managerat our Glasgow office. This role entails managing and developing a team of analysts based in the UK. Natural Power offers a dynamic and fast-paced working environment, with the Analytics Team Lead contributing to the delivery of core analysis services across multiple disciplines (pre-construction, post-construction and supporting analyses) and sectors (onshore wind, offshore wind, solar, BESS) and across markets globally.

We are looking for a highly motivated individual with a strong track record in either consultancy or development, with a passion for renewables and a strong desire to develop themselves and others. Natural Power has a focus on innovation and R&D, and this position offers an opportunity to take a leading role in supporting the development of tools and methods to ensure that our services remain at the cutting edge, and to promote Natural Power within the industry. If you are passionate about renewables, enjoy learning and developing in a dynamic environment and have a desire to advance tools and methods through R&D, this could be the role for you!

This is a permanent role, working 37.5 hours per week, Monday to Friday.

We will offer an engaging, collaborative and fast-paced environment alongside an excellent benefits package, including generous annual leave, flexible working, employee assistance programme, personal insurances, health plans, discounts and salary sacrifice options.

Natural Power is an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.

You can find the full role profile for this vacancy attached below. Details of all our currently available opportunities can be found on our website. Natural Power reserves the right to remove this vacancy at any time.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Careers

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Careers

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.