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Data Analyst, Data Analytics

2 weeks ago


Sydney, Australia Stake Full time

Stake is looking for a Data Analyst to join our Data team, at our Bondi Junction HQ, with a flexible hybrid working model (3 days in the office, 2 WFH).

We're an Australian investing platform that helps ambitious people confidently grow their wealth. By offering seamless, immersive access to the share markets, we've empowered a new wave of investors. Stake has grown fast from a fintech startup into a robust financial services company. Today we have 700,000+ customers and more than A$5 billion under administration.

At Stake, we break barriers in everything we do. Just like our customers, we're driven by ambition. Our desire for continuous growth is what creates the collaborative and high-performance environment we work in. Though we're spread around the world, we're a unified team moving towards a shared vision: to unleash the investor in everyone.

Join us as we continue to reshape the financial industry, inspiring investor confidence and celebrating our wins along the way.

**About this role**:
We are looking for someone to help scale Stake by empowering it with data, reporting and analytical insights. We embrace an evidence-based culture here at Stake; reporting into the Head of Data, your role will be to work with product/business managers, stakeholders, and data scientists, as well as data analysts and analytics engineers to build and own a suite of data models, reports, metrics, and dashboards for a specific area of the product/business.

Collaboration will be key in this position, as you will connect with all areas of the business to:

- Understand the technical and business larger picture around your work
- Implement business models, driven by stakeholders requirements and supported by software engineering and data management best practices
- Build data science functions to accompany the analytics engine
- Assist stakeholders with research and analysis to test their hypotheses and ideas via experimentation, to make better and faster business decisions
- Collaborate with the team to design and build the data transformation jobs in the warehouse, to empower self-service, provide reliable data and support operational, analytical and reporting needs
- Contribute to the full life cycle of data models: data analysis, data preprocessing and pipeline, modelling, productisation and visualisation
- Articulating analytics results and experimentation to technical and non-technical audiences
- Amplify data literacy and curiosity throughout the whole company through creative initiatives and collaboration.

**A bit about you**:

- At least 2-3 years of experience in using SQL and Python to automate and optimise data loading, implement transformation systems and analyse data
- Experience wrangling and analysing data using Python
- Ability to create beautiful, easily understood visualisations that tell a story, using BI solutions
- Experience in structured problem solving and supporting stakeholders to produce creative solutions
- Proven ability to communicate with stakeholders and understand core tasks.
- Strong analytical and problem-solving skills to identify and resolve complex data issues.

**Benefits of working at Stake**

You'll have the opportunity to work with autonomy while learning from some of the best talent in the industry, playing a meaningful role in building a company that has loads of positive momentum and excitement around it.
- Professional development allowance
- Wellbeing allowance
- Up to 16 weeks of paid parental leave
- Childcare allowance
- Extra paid leave during tough times
- Discretionary performance bonus and talent referral bonus
- Employee Share Options scheme

Stake is an equal opportunity employer that values diversity. We're proactive about providing an inclusive work environment and do not discriminate based on race, religion, nationality, gender, sexual orientation, age or disability status. We're also endorsed by WORK180 as a great employer for women.

**So what happens next?**:

- To all recruitment agencies: Stake does not accept agency resumes. Please do not forward resumes to our jobs alias or directly to Stake employees. Stake is not responsible for any fees related to unsolicited resumes._