Job description
What is the purpose of this role in the delivery of our mission?
What are the key responsibilities / activities of the role:
- Utilise a modern tech stack to analyse and query databases
- Create, analyse and draw insights from financial/accounting reporting
- Develop and own dashboards and reporting
- Research, share and implement new methods to empower the usage and unlock the value of dataLiaise with stakeholders across the business to gather reporting requirements
- Problem solve data-related queries
- Communicate insights to senior management and across the organisation key to important decision making
- Opportunities to learn and develop your understanding of applications and transforming data landscape
- Build the firm's enterprise data warehouse and data pipelines
- Set up processes and systems to improve data efficiency
What is the scope of accountability for the role?
- Develop and owning data models, dashboard and reporting
- Data analysis and the query of databases
- Ownership of Jira projects
What are the essential skills, qualifications and experience required for the role?
- Professional experience with SQL required. Python desirable (but not mandatory)
- Experience and understanding of logical data modelling
- A background in accounting with understanding of accounting principles and reporting
- Experience within an Agile environment/Atlassian tools are desirable
- A strong attention to detail and quality, especially as it applies to data
- You are a clear and confident communicator
- You are a self starter who can take proud ownership of your work
- Demonstrate ability to manage stakeholder expectations
- Have passion working in a dynamic and growing start-up environment that is tight-knit, challenging and funYou have strong analytical, organisational, and prioritisation skills, with a belief in writing documentation as part of SQL queries
What are the desirable skills, qualifications and experience that would be beneficial for the role?
- Bachelors or Master’s degree in STEM or Computer science
- 2+ years experience in data
- Advance knowledge and experience in SQL
- Experience a BI tool (Metabase, Tableau, PowerBI, Looker)
- Nice to have Python (Data-frames - Pandas, Numpy)
- Previous experience in a Tech, Finance, or product firm is desirable
- Experience in AWS is desirable (Redshift, DynamoDB)
- Experience using data infrastructure tools is desirable (Stitch, DBT, Fivetran)
About Orbital
Revenue: $5 to $25 million (USD)
Size: 51 to 200 Employees
Type: Company - Private
Website: www.getorbital.com
Year Founded: 2017