Data Associate
Data Associate
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
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 an ever-changing world companies and governments need reliable and actionable insight to lead the transition to a sustainable future. Thats why we cover the entire supply chain with unparalleled breadth and depth backed by over 50 years experience. Our team of over 2400 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.
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
Role Purpose:
The Data Associate will support the development management and analysis of datasets to drive business decisions and insights. This role is ideal for an early-career professional seeking to build foundational skills in data analysis governance and quality assurance. Working under clear guidance the Data Associate will execute tactical tasks support exploratory data analysis and contribute to improving workflows and data processes.
Responsibilities:
Knowledge
Performs defined tactical tasks with clear guidance to manage data effectively.
Clarifies outcomes goals and hypotheses to ensure alignment with objectives.
Demonstrates foundational skills in core data practices including:
Visualisation techniques for exploratory data analysis (with assistance).
Scripting language proficiency and data-gathering methods.
SQL querying to retrieve and manipulate data.
Tackles defined problems seeks feedback clarifies approaches and delivers solutions.
Maintains a growth mindset continually developing technical and analytical skills.
Impact
Meets clear expectations for quality and timely delivery of tasks.
Develops core skills to interpret data from diverse sources using SQL Excel or Python.
Builds effective working relationships with peers and stakeholders.
Actively participates in learning and development opportunities demonstrating a commitment to growth.
Proactively seeks feedback speaks up in meetings and experiments with new techniques.
Collaboration
Works closely with data teams to ensure accurate task completion.
Supports data governance and quality assurance initiatives.
Collaborates with Research Product Data Owners Data Engineering and core business functions.
Maps stakeholders dependencies and communication channels clearly.
Contributes to fostering a rich culture of inclusion and diversity within the team.
Innovation
Identifies opportunities to improve workflows using personal skills or team resources.
Continuously improves technical skills and seeks feedback to enhance expertise.
Specialisms
Problem Solving: Develops structured approaches to solving defined problems.
Data Handling and Analysis: Gains proficiency in managing cleaning and analysing datasets.
Key Expectations:
Experience & Qualifications
Bachelors degree in a relevant field or equivalent experience.
Basic understanding of data analysis principles and workflows.
Foundational proficiency in SQL and at least one scripting language (e.g. Python).
Familiarity with visualisation tools or techniques for exploratory data analysis.
Familiarity with Snowflake advantageous.
Technical Skills
Ability to perform basic data manipulation and querying.
Exposure to data governance and quality assurance activities is a plus.
Interest in developing skills in ETL processes and database management.
Soft Skills
Detail-oriented with a proactive approach to seeking feedback and assistance.
Strong communication skills eager to collaborate across teams.
Enthusiastic about learning and contributing to team goals.
#LI-DB1
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
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.
Required Experience:
IC
Employment Type
Full-Time
