Wood Mackenzie

Data Analyst – 12 month FTC

30 October 2024
Apply Now
Deadline date:
£41000 - £76000 / year

Job Description

Wood Mackenzie is the global data and analytics business for the renewables, energy, and natural resources industries. Enhanced by technology. Enriched by human intelligence. In an ever-changing world, companies and governments need reliable and actionable insight to lead the transition to a sustainable future. That’s why we cover the entire supply chain with unparalleled breadth and depth, backed by over 50 years’ experience. Our team of over 2,400 experts, operating across 30 global locations, are enabling customers’ decisions through real-time analytics, consultancy, events and thought leadership. Together, we deliver the insight they need to separate risk from opportunity and make confident decisions when it matters most.

WoodMac.com

Wood Mackenzie Brand Video

Wood Mackenzie Values

  • Inclusive – we succeed together
  • Trusting – we choose to trust each other
  • Customer committed – we put customers at the heart of our decisions
  • Future Focused – we accelerate change
  • Curious – we turn knowledge into action

This role is a 12 month FTC and reports to the Data Manager who oversees the proprietary content for the short-term power products. The successful candidate will be a crucial member of the Data team, at the forefront of our Energy Transition data business.

The Data Analyst will work with a team of cross-functional experts and support how Wood Mackenzie’s ingestion and republication of renewable and energy transition data. The role holder will manage, monitor and execute the delivery of industry leading data that will underpin our client offerings.

Key Responsibilities

  • Liaise between product owners and developers on product requests
    • Create collection specification requirements unique to each data set, allowing the development team to create automated collection scripts
    • Collaborate with product owners to understand the most important data to collect, and identify their priority
    • Follow existing processes to manage each collection request from start to finish
  • Execute data management tasks on collected data sets
    • Maintaining the existing data streams and minimizing downtime due to source changes
    • Research data sources for announced publication changes
    • Identify and respond to issues in data sources, such as new URLs, new or missing data, or changes to publication terms & conditions
    • Create and maintain mappings between original source and internal systems
    • Perform analysis and quality control on data sets, including cleansing and backfill operations
  • Research and stay updated on power grid infrastructure changes
  • Create and maintain documentation for all data collections
  • Respond to queries and concerns from external clients, providing basic customer support

Qualifications

About You

You will be a self-starter, energised by a challenge, passionate about maintaining a high standard of quality to support an equally high-quality product. You can adapt to new ways of working – and enjoy collaborating with a wide range of stakeholders. You will ideally have experience in working in the energy sector – preferably in power and renewables generation, power trading, or consulting.

Knowledge & Experience

  • Fluency in English
  • A Bachelor’s degree or equivalent, preferably in a STEM field
  • Ability to design and write SQL statements
  • Experience working with large data sets
  • Ability to both work solo to complete tasks and to collaborate in a team of peers
  • Experience in research and documentation

Equal Opportunities

We are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex, national origin, disability or protected veteran status. You can find out more about your rights under the law at www.eeoc.gov 

If you are applying for a role and have a physical or mental disability, we will support you with your application or through the hiring process.