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Swyftx
Data Analytics Manager
atĀ Swyftx
4 months ago | 191 views | 2 applications

Data Analytics Manager

Full-time
Brisbane

About the company

At Swyftx, we're not just building a fintech scaleup; we're shaping the future of Australia's digital currency industry. With over 650,000 users, we have our sights set high, aiming to be Australia's most trusted cryptocurrency trading platform and the next billion-dollar success story.

Job Summary

Some of your key responsibilities in this role will include:

šŸ“Strategic Insights: Drive strategic business decisions by delivering actionable insights and recommendations. šŸ“Dashboard & Report Management: Develop and maintain dashboards and reports to monitor KPIs and track progress against goals. šŸ“Data Visualisation: Communicate insights and findings effectively through clear and impactful visualizations. šŸ“Cross-Functional Collaboration: Collaborate with marketing, sales, support, product, R&D, and IT teams to align data insights with business objectives. šŸ“Advanced Analytics:Utilise advanced analytics techniques and AI to generate predictive insights and identify trends in business behavior. šŸ“Team Leadership: Act as a role model for building an engaged, high-performing, collaborative, and inclusive team.

To be successful you will have:

šŸ“Significant experience in data, analytics, business intelligence, or a related role involving the development of data models and databases in a rapidly scaling business environment. šŸ“Strong business acumen and commercial instincts, with the ability to allocate data resources and prioritise data initiatives based on their impact on the business. šŸ“The ability to communicate effectively with diverse audiences, ensuring messages are concise, articulate, and impactful using the most appropriate methods. šŸ“Demonstrated ability to mentor and develop a high-performing team, establish clear priorities, and drive results in a dynamic environment. šŸ“Proficiency in DAX, SQL, Python, and R for creating complex calculations, data models, custom scripts, and transforming large datasets.

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