Data Analyst - Sustainability and Climate Change

What if you could shape a career as unique as you?

The Role is responsible for managing project data to provide insights to clients on sustainability projects. Day-to-day tasks include data collation & entry, verification for data integrity, analysis to identify trends, and visualization to present findings. In this role, the successful candidate will assist clients in making informed decisions to improve their sustainability performance.

• Creating spreadsheets, graphs, and reports project performance against key performance. 
• Collecting and analysing data to identify patterns, trends, insights, and potential solutions. 
• Using charts, graphs, tables, and other visual representations of data to present findings in an easy-to-understand way to the Sustainability and Climate Change Advisory team and external clients. 
• Verifying data and making necessary changes. 
• Reviewing, extracting, aligning, and presenting data obtained from multiple sources. 
• Assisting more Senior Consultants with the analysis of information. 
• Assisting in the preparation of reports and other documentation under supervision. 
• Participating in internal meetings and any other meetings when required. 
• Continuing professional development through participation in internal knowledge share sessions, informal learning on projects, and formal training.

Qualifications (Minimum and Desirable):

• Degree in Engineering, Data Science, Finance or other relevant tertiary qualifications.                                                  • 2-3 years degree in engineering (desired but not required), finance or related field. 
• Advanced proficiency in MS Excel, including use of data validation, conditional formatting, pivot tables, and charts. 
• Proficient in MS Word and Power Point. 
• Experience with data visualization tools with Microsoft Power BI will be highly regarded. 
• Strong analytical and problem-solving skills. 
• Exceptional attention to detail. 
• Strong verbal and written communication skills. 
• Capable of working independently and as part of a team. 
• Ability to interpret and carry out instructions well. 
• Deliver tasks within an agreed timeline while following QA procedures. 
• Ability to use charts, graphs, maps, and other visual representations of data to help present findings. Familiarity with statistical methods and data visualization techniques