Remote Junior Data Analyst

Description:

• The Junior Data Analyst role is based in Auckland and is a full-time remote position within the Auckland R&D – Product Management team.
• The primary responsibility is to support data analysis tasks that are both ad-hoc and as-needed to facilitate better data-driven business and product decisions.
• The initial focus will be on AI/ML risk products, followed by SLG/Mobile data gaps, and eventually larger Product & Lifecycle Management (P&L).
• The role requires close collaboration with stakeholders across multiple time zones, necessitating flexibility in working hours.
• Key tasks include producing key metrics, dashboards, and reports to support product management requests, particularly for AI/ML initiatives and tech partnerships.
• The analyst will present data findings and insights to internal stakeholders, translating complex data into actionable recommendations.
• Responsibilities also include developing and maintaining interactive dashboards for real-time analytics and reporting.
• The analyst will collaborate with cross-functional teams in the UK, NZ, India, and the US, ensuring timely updates and support for all teams.
• Writing, optimizing, and troubleshooting SQL queries to access, manage, and analyze data within Snowflake or other relational databases is essential.
• The role involves assisting in machine learning projects by preparing data and evaluating models, applying metrics like precision, recall, and accuracy.
• Building and maintaining a comprehensive data dictionary to standardize and improve data usage across the organization is also required.
• Supporting data quality initiatives by troubleshooting and validating data integrity in reports and dashboards is part of the job.

Requirements:

• A Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field, or equivalent work experience is required.
• Some proficiency in SQL for data querying and analysis is necessary.
• Familiarity with relational database concepts and data structures is expected.
• A strong understanding of statistical fundamentals and measures is essential.
• Knowledge of data warehousing principles and ETL processes is required.
• Experience with data visualization tools, preferably Tableau, is necessary.
• Experience with data warehouse tools, preferably Snowflake, is required.
• Basic knowledge of Python for data manipulation and automation is preferred.
• Prior exposure to machine learning workflows or data preparation for modeling is advantageous.
• Foundational knowledge of machine learning concepts and metrics, such as precision, recall, and accuracy, is preferred.
• The ability to communicate effectively with both technical and non-technical team members is essential.
• Flexibility to work across multiple time zones (UK, US, India, NZ) is required.

Benefits:

• The position offers the opportunity to work in a dynamic and collaborative environment with cross-functional teams.
• Employees will gain experience in data analysis, machine learning projects, and data visualization tools.
• The role provides the chance to contribute to impactful AI/ML initiatives and tech partnerships.
• Working remotely allows for flexibility in work-life balance.
• The position supports professional growth and development in the field of data science and analytics.