At a Glance
- Tasks: Analyse data to shape low-carbon policies and inform investment decisions.
- Company: Join Talan, a purpose-driven consultancy tackling social and environmental challenges.
- Benefits: Enjoy flexible working, competitive salary, private healthcare, and 25 days annual leave.
- Other info: Dynamic team environment with opportunities for rapid career progression.
- Why this job: Make a real impact on the energy transition while developing your analytical skills.
- Qualifications: Degree in Data Science, Economics, or related fields; strong numerical and communication skills.
The predicted salary is between 51188 - 62563 £ per year.
Company Description
Talan UK and Ireland (part of the Talan Group) is an expert provider of professional services. Our vision and mission is to take positive action in a complex world for the future good of people and the environment and to enlighten and enable our clients’ transformation in an increasingly complex world. We are purpose-driven, working across multiple sectors, tackling social and environmental challenges, improving and simplifying the way markets work, harnessing the power of digital transformation and ensuring data is protected and used ethically. Talan provides a range of consultancy and outsourcing capabilities including programme management, market design and governance. We also have extensive and award-winning capabilities across cyber security, data privacy and digital transformation. We are Great Place to Work accredited.
The nature of what we do means we are very much a people business. The contribution every member of the team makes to our diverse range of experience, skills and personalities is valued. We invest heavily in learning and development to enable our people to develop skills and gain experience which will enhance career prospects for life. Many who started their careers with us have rapidly progressed to more senior positions. No two days are the same, but we believe in a flexible approach to working which we know our employees value.
The Role
We’re looking for an Economic and Data Analyst to deliver purposeful analysis across client accounts, to inform industry decision-making, strategy development, and investment working in Talan’s Strategy and Energy Consulting Team. Based in Birmingham and London, the Strategy and Energy Consulting team consists of around 50 dynamic policy analysts, economists, consultants and project managers passionate about tackling climate change and making an impact for our clients. This is a fast‑paced consulting role for analytically strong individuals who want to shape low‑carbon policy and investment decisions. From day one you will be placed at the heart of the energy transition, working across hydrogen, heat pumps, biofuels, and a range of other low‑carbon technologies, developing your profile as a low‑carbon expert with a holistic understanding of technological and policy opportunities, challenges, and limitations. You’ll be trusted to apply economic judgement, not just technical analysis, in shaping recommendations for clients.
This will be underpinned by your ability to create evidence-based numerical analysis and communicate it to key industry decision makers (including MPs, CEOs, managing directors and boards). Previous analysis has been used by senior leadership to drive decisions in both public and private organisations, quoted by MPs and Ministers in debates in Parliament, has shaped new policies and has featured widely across leading news outlets. Currently, the energy industry is undergoing a generational transition to decarbonise, which brings unprecedented challenge and opportunity. This has kickstarted discussions regarding the optimum pathway to a net zero future. Your work will inform and support the delivery of that transition.
What you’ll gain
- Direct exposure to senior policymakers, industry leaders, and board‑level decision‑makers
- The opportunity to see your analysis influence real‑world policy and investment decisions.
- Contribution to the development of Talan’s data capabilities and infrastructure
- Structured development as both an economist, data analyst and a trusted client advisor. You’ll receive hands‑on coaching from experienced consultants, regular feedback on your analytical and consulting skills, and clear progression criteria as you develop towards senior consulting roles.
Responsibilities
The role will require the completion of varied assignments working with industry and government clients to shape low carbon energy policy and analyse the costs and benefits of the net zero transition. You will work within project teams to deliver client outcomes. This will include a likely mix of project and retainer account work.
Delivering Economic and Data Analysis
- Delivering quantitative analysis such as cost–benefit analysis, policy impact assessment, scenario modelling, and financial/economic appraisal to inform client and policy decisions
- Undertaking analysis across multiple criteria (commercial, economic, and environmental) to assess policy options, business models, and low‑carbon technologies
- Developing future industry and policy scenarios to inform client investment decisions and resource allocation
- Using coding and data skills to collate, clean and analyse datasets. This could involve developing programmes or AI-enabled tools to support modelling and generate client insights.
Communication and Persuasion
- Communicating analysis methods and outcomes clearly and concisely to senior industry figures and stakeholders with little background in numerical analysis
- Using evidence, data, and patterns to influence current and future net zero policy
- Developing robust evidence bases and forming objective, logical, and persuasive arguments to support client ambitions for policy change
- Framing the implications of analysis in plain English, drafting clearly and persuasively in written reports and in PowerPoint presentations
Competitive salary plus excellent benefits package
Location: Birmingham or London office, with hybrid working; time in either office is expected.
Qualifications
The role is ideally suited for an analyst finalising a university degree, or a recent graduate with up to 3 years of work experience. The successful candidate will be a numbers person, objective and fact based, whilst being able to effectively communicate your analysis to senior industry figures.
Essential
- Degree at graduate or postgraduate level preferably in Data Science, Mathematics, Statistics, Economics, Finance, and other social sciences with significant quantitative components. Other numerate degrees will also be considered.
- Strong numerical and analytical capability, with the ability to structure complex problems
- Clear written and verbal communication skills including verbal, numerical and written methods. Can explain complex topics clearly and accessibly to a range of stakeholders.
- Ability to work collaboratively in project teams and build relationships with employees at all levels.
- Modelling skills: capability across the MS Office suite, particularly MS Excel, to carry out economic analysis.
Successful candidates are also likely to possess:
- Python or other data analysis skills beyond MS Excel
- Advanced understanding of Economics or Econometrics principles
- Ability to learn new programming languages, software environments, and services, like Rust, and Power BI
- Capability across the MS Office suite, particularly MS Excel to carry out economic analysis.
Desirable
- Understanding of politics and the UK political environment
- Experience in energy, utilities, environmental policy, or regulation
- Exposure to project management or client‑facing work
- Experience building economic or financial models in Excel
- Experience completing data analysis and econometric tasks
Upon employment, employees should also have a sound awareness of the Company's Information, Quality, Environmental and Energy Management Systems.
Additional Information
Diversity, Equity, and Inclusion commitments
Our commitment to sustainable and inclusive growth. As a socially responsible leader, Talan continually invests in sustainable growth, addressing both social and environmental challenges. We achieve this while preserving our core values and ensuring operational excellence for our clients. This commitment to excellence extends across all aspects of our Corporate Social Responsibility (CSR) initiatives. For the past three years, through our 360 approach to social and environmental responsibility, we have been driving significant change and strengthening these principles within our corporate DNA. The solid foundations we've been building since 2021 are enabling our organisation to transform in a sustainable and positive manner.
Disability Inclusion
We recognise that the diversity of legislative and cultural frameworks for supporting individuals with disabilities requires the implementation of specific policies and a unique approach in each country where the Group operates. Talan is committed to strengthening its involvement in promoting the inclusion of people with disabilities by implementing dedicated support systems and raising awareness among our teams on these issues.
WHAT WE OFFER
- 25 days annual leave, plus bank holidays
- Reward and recognition schemes
- Flexible working
- Private Bupa healthcare (subsidised)
- Life Assurance (up to 4 times annual salary)
- Matched pension contributions
- Season Ticket Loan
- Cycle to work scheme
- Buy and Sell annual leave
- Reimbursement of eye test and up to £50 towards glasses or contacts
- Corporate gym rates
- Employee Assistance Programme
- Summer and Christmas parties, along with monthly Social@77
Contract Type: Permanent contract
Economic and Data Analyst employer: Talan
At Talan Data x AI, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration across our UK offices in London, Edinburgh, Manchester, Leeds, and Birmingham. Our commitment to employee growth is evident through our comprehensive benefits package, including a unique reward programme for sabbaticals, generous holiday allowances, and bespoke online learning opportunities, ensuring that our team members not only excel in their roles but also thrive personally and professionally in the fast-evolving field of data science and AI.
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We think this is how you could land Economic and Data Analyst
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We think you need these skills to ace Economic and 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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Craft a Tailored Cover Letter:For a full-time role at Talan, 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 Talan. 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 Talan
✨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!
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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
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 Talan!
✨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.
