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Tier-1 brand, mid-level data role, metro location, and broad skillset make applicant competition high.
Technical data skills like SQL, Python, BI tools are widely transferable across industries.
Mandatory 5-7 years and specific SQL, BigQuery, Python, and BI tool requirements enforce high shortlisting strictness.
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Independently design and lead data analytics projects to meet business needs, using advanced techniques to create optimized, efficient, and scalable code.
Develop analytical solutions to improve processes and collaborate with business counterparts for implementation, acting as a domain or technical lead for junior members.
Package and present analytical findings through visualization and storytelling to management and business users, driving strategic impact and recommending actionable business decisions.
Bachelor's degree in a STEM major or equivalent discipline.
5-7 years of experience in a related data analyst role.
Technical skills: SQL, BigQuery, R, Python, Tableau, Looker.
Google Cloud certification is strongly preferred.
Experienced in working collaboratively with non-technical partners to explore new data capabilities and monetization opportunities.
Capable of influencing stakeholders and communicating the strategic impact of analytics in client-facing settings.
Comfortable working in a fast-paced environment and flexible to work across Asia/New Zealand time zones as needed.