Job description
Data Analyst
As Aerlytix grows, a very exciting new opportunity exists within the organization. In this role the candidate will be working in an experienced, dynamic team who are transforming an industry with a world-class technology stack and industry-leading analytics products.
This role is for candidates who have a deep interest in data analysis and applying data-centric skills in real-world situations. Candidates should be interested in both aviation and how modern data-driven approaches can help drive transformation. We are considering junior to mid-level candidates for these roles.
Responsibilities of the Role:
Attributes of a successful candidate:
As Aerlytix grows, a very exciting new opportunity exists within the organization. In this role the candidate will be working in an experienced, dynamic team who are transforming an industry with a world-class technology stack and industry-leading analytics products.
This role is for candidates who have a deep interest in data analysis and applying data-centric skills in real-world situations. Candidates should be interested in both aviation and how modern data-driven approaches can help drive transformation. We are considering junior to mid-level candidates for these roles.
Responsibilities of the Role:
- Develop and maintain python codebase that assists client implementations & integration
- Work with both client and internal data, building insights and driving process efficiencies
- Fit into a small, fast-paced team. Quickly familiarising with the data needs of the team and clients
- Become involved in testing and validating software releases
- There is wide scope to grow within the team of experienced data and aviation professionals and take a hands-on role in the future direction
Attributes of a successful candidate:
- Python coding proficiency, in particular:
- Skilled expression with Python data structures & sequences
- Good knowledge & experience with Pandas library
- Experience with projects that required preparation & manipulation of real-world observed data
- Experience with SQL, developing queries to extract from databases
- Strong Excel reporting abilities and exposure to Excel add-ins
- 0-3 years’ experience in a data role
- Other skills that are nice to have include:
- Experience in finance and financial modelling
- Experience in BI reporting tools
- Understanding and experience of ETL processes
- Knowledge of AWS, S3 and/or data lakes
- Prior knowledge of the aviation industry
- Good written and verbal communication skills
- Role is chiefly analytical and data-focused, nonetheless, candidates should also have an interest in engaging with clients to build solutions