Job description: About the Role:Support data analysis tasks that are both ad-hoc /as-needed to support better data-driven business and product decisionsScope is initially around AI/ML risk products, then for SLG/Mobile (data gaps) then larger P&LMust work closely with stakeholders across multiple time zones (need person to be flexible)What you’ll do:
Produce key metrics, dashboards, and reports to support PM asks (AI/ML initiatives, tech partnerships etc.)
Present data findings and insights to internal stakeholders, translating complex data into actionable recommendations.
Develop and maintain interactive dashboards for real-time analytics and reporting.
Collaborate with cross-functional teams in UK, NZ, India and US time zones, ensuring timely updates and support for all teams.
Write, optimize, and troubleshoot SQL queries to access, manage, and analyze data within Snowflake or other relational databases.
Assist in machine learning projects by preparing data and evaluating models, applying metrics like precision, recall, and accuracy.
Build and maintain a comprehensive data dictionary to standardize and improve data usage across the organization.
Support data quality initiatives by troubleshooting and validating data integrity in reports and dashboards.
What you’ll bring:
Education: Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field, or equivalent work experience.
Some Proficiency in SQL for data querying and analysis.
Familiarity with relational database concepts and data structures.
Strong understanding of statistical fundamentals and measures.
Knowledge of data warehousing principles and ETL processes.
Experience with data visualization tools, preferably Tableau.
Experience with data warehouse tools, preferably Snowflake.
Preferred Qualifications:
Basic knowledge of Python for data manipulation and automation
Prior exposure to machine learning workflows or data preparation for modeling.
Foundational knowledge of machine learning concepts and metrics, such as precision, recall, and accuracy
Ability to communicate effectively with technical and non-technical team members.
Flexibility to work across multiple time zones (UK, US, India, NZ).
Expected salary:
Location: Auckland
Job date: Wed, 12 Feb 2025 04:37:10 GMT
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