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Data Analyst

Talan Group
London
2 weeks ago
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London or Birmingham office, hybrid working

Talan (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 simplify the way markets work, harnessing the power of digital transformation and ensuring data is protected and used ethically.

Established in 2002 as Gemserv Limited, 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 a B Corp, IIP Gold accredited and 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.

Job Description

The Role:

We’re looking for a Data Analyst to deliver purposeful analysis across client accounts and projects,to inform industry decision-making, strategy development, and investment.

From day one you will be placed at the heart of the energy transition, working across a range of low-carbon technologies and related data, developing your profile as a low-carbon analyst that collects, processes, and analyses data to help organisations understand the opportunities, challenges, and limitations of the energy transition and their commercial model.

This will be underpinned by your ability to create evidence-based numerical analysis, which we will support you in communicating to key decision-makers.

Previous analysis has been widely used across the industry, featured in debates by MPs, and appeared in leading news outlets, shaping new policies that have driven efficiencies and increased low-carbon technology uptake. In addition, our data analysts evaluate the carbon footprint of organisations and understand the steps required to decarbonise over time.

Currently, the energy industry is taking a leap into a low-carbon future, which brings unprecedented challenges and opportunities, and has kick-started discussions regarding the optimum pathway to a net-zero future. Your analysis will inform and influence these strategies and the debate alongside our clients and the wider industry.

Responsibilities:

  • Inform current and future net-zero policies with public and project-specific data
  • Create, maintain, and utilise various databases and data modelling tools to provide insights regarding low-carbon technologies and policies
  • Develop evidence-based, objective, and logical arguments with qualitative and quantitative research to shape/inform decarbonisation plans in both the public and private sphere Quantitative analysis across multiple criteria (i.e. commercial, social, economic, or environmental) across policy, business models or low-carbon products
  • Scenario modelling – using data analysis to explore the future outlook of industry and policy, to inform client investment decisions and resource allocation
  • Communicating analysis methods and outcomes clearly and concisely to senior stakeholders with little background in numerical analysis
  • Managing a diverse and demanding workload, delivering projects accurately and on time
  • Working within project teams to deliver client outcomes
  • A mix of project and account work

Competitive salary plus an excellent benefits package

Office Location - London or Birmingham, hybrid working

Qualifications

Requirements

  • Analytical skills: high degree of numeracy, confidence with data collection, processing, and manipulation, and the ability to think logically about complex problems
  • Modelling skills: capability across the MS Office suite, particularly MS Excel, to carry out economic analysis. Ability to learn new programming languages, software environments, and services, like Python, R, and Power BI. Successful candidates are also likely to possess:
    • Python or other data analysis skills beyond MS Excel
    • Advance understanding of Economics or Econometrics principles
  • Communication and relationship-building skills: clear and concise communication, including verbal, numerical, and written methods. Can explain complex topics simply and build relationships with employees at all levels
  • Organisation and flexibility: strong time management skills, and ability to handle competing priorities/deadlines, and independently manage project delivery to client expectations.
  • Teamwork: the capacity to operate as a team player, working co-operatively with colleagues and clients
  • Academic background: 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
  • Some experience working in the energy or utilities, environmental sector, or with public policy would be advantageous, but is not required.
  • Confidence and enthusiasm to present to colleagues and other stakeholders

The role is ideally suited for an analyst finalising a university degree, or a recent graduate with up to 2 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.


Upon employment, employees should also have a sound awareness of the Company's Information, Quality, Environmental and Energy Management Systems.

Additional Information

WHAT WE OFFER
25 days annual leave, plus bank holidays
Reward and recognition schemes
Flexible working
Private Bupa healthcare
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


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