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Unlocking Business Potential as a Data Analyst
3 weeks ago
About us
We're an Australian-founded start-up with a focus on innovation and work-life balance. We've developed four products built on top of Atlassian's Jira, sold via the Atlassian Marketplace. Our team is driven by giving back to our community and our people, enabling them to live their dreams.
We believe being agile unlocks a team's potential to be happier at work, have more impact in the solutions they build, and be more focused on customer success. Our purpose is to help organisations realise the benefits of being agile. We're proud to call over 1,900 companies our customers, including Netflix, Harvard, Amazon, Lego, Mercedes, and Twitter.
As a mid-level Data Analyst, you'll play a key role in transforming data into clear, actionable insights that support business decisions. You'll work with existing data models and pipelines, investigate key business questions, and design dashboards that make complex information easy to understand.
Your Responsibilities- Investigate and answer complex business questions through data analysis
- Build analytical views on top of our Kimball-style data models using dbt and Snowflake
- Design interactive dashboards in Metabase (and future BI tools) that make insights accessible to everyone across the company
- Investigate data quality issues and work with the data team, stakeholders, and external parties to resolve discrepancies
- Partner with cross-functional teams to understand their reporting needs and deliver self-service solutions
- Translate business requirements into analytical approaches, clearly communicating findings and recommendations
- Help improve data literacy across the company by running education sessions, providing training on self-service analytics tools, and supporting teams to interpret and act on insights
- Document your methodologies and continuously improve data and reporting assets
- You're curious by nature and love digging into data to find the 'why' behind the numbers
- You're proficient in dbt and comfortable building and maintaining models that support robust, scalable analytics
- You have strong analytical skills and experience working with SQL, Python, and BI tools
- You're confident with data visualisation and know how to present findings in ways that are clear and compelling
- You have experience working with dimensional data models and understand concepts like fact and dimension tables
- You apply strong data visualisation and design principles and are confident using BI tools effectively
- You get energy from collaborating with others, asking great questions, and tailoring your communication to suit your audience
- You're detail-oriented and care about data accuracy, testing, and maintaining data trust
- You're always looking for ways to improve how things work and enjoy contributing to a culture of continual learning
- Have experience working in a SaaS business or with Atlassian tools
- Have experience with advanced data visualisation techniques
- Are familiar with basic machine learning concepts, predictive modeling, and statistical techniques
- Unique and generous Employee Share Option Plan (ESOP)
- Flexible working options
- Four paid volunteer days a year
- An annual learning allowance of $5,000
- Bi-annual hackathon days
- Additional superannuation contributions per annum
- Company-funded parental leave
- Summer sessions
- $2,000 to put towards your home-office fit out
- Team and company off-sites
- Opportunities to travel overseas
We value punching above our weight and people over perfection. Research shows women and minority groups are less likely to apply for roles where they don't meet 100% of the criteria. So, go ahead and apply – we'd love to hear from you.
