Data Visualization Specialist (Part-Time)

Role overview

This part-time opportunity is being promoted on behalf of a partner employer, which will handle applications and all follow-up steps. The position is for a Data Visualization Specialist in New Zealand, working remotely as part of a global, purpose-driven team.

The role blends data analysis, product thinking, and business impact. You will turn complex information into easy-to-understand dashboards and insights that help leaders evaluate user behavior, product performance, and growth opportunities. A major part of the work is partnering with product stakeholders to define the right metrics, monitor engagement patterns, and surface improvements that can strengthen digital services across multiple markets.

What you'll do

• Create clear, user-friendly dashboards and visual reports that highlight key metrics and trends, using tools such as Google Data Studio.
• Check dataset integrity, investigate reporting problems, and resolve inconsistencies so that analysis remains dependable.
• Work with product leaders to build executive dashboards that inform roadmap choices and commercial planning.
• Analyze product performance across regions to identify patterns, trends, and practical opportunities for improvement.
• Carry out funnel and churn analysis to understand user journeys, spot drop-off points, and recommend ways to improve engagement and retention.
• Convert technical findings into concise, narrative-style insights that can be shared with leadership, partners, and other stakeholders.
• Help establish product metrics and a consistent measurement approach across teams.

Requirements

• At least 3 to 5 years of experience in data analysis, visualization, or another closely related analytical function.
• Strong SQL skills for working with and transforming large data sets.
• Practical experience with dashboarding platforms such as Google Data Studio or similar tools.
• Advanced Excel capability for analysis, reporting, and data modeling tasks.
• Strong troubleshooting skills, including the ability to diagnose data issues and explain technical matters in simple terms.
• Comfort working independently while also collaborating across remote, cross-functional, international teams.
• Experience with warehouse environments such as BigQuery, Snowflake, or Redshift would be an advantage.
• A degree in Computer Science, Data Science, Statistics, or a related discipline is preferred.
• Interest in using data to improve digital services and user outcomes in varied or emerging markets.

Benefits and working style

• Flexible part-time commitment at roughly 50% to 60% of full effort.
• Fully remote setup within a distributed global team.
• Chance to contribute to high-impact digital services used across multiple countries.
• Exposure to international product and data teams in a mission-led environment.
• Opportunity to influence strategic decisions tied to product growth and user experience.
• Compensation is competitive and depends on your experience and the scope of the role.

Application and hiring process

Applications are reviewed through an AI-assisted matching process designed to compare candidates against the core requirements quickly and consistently. Shortlisted profiles are then shared with the hiring company, which manages interviews, assessments, and final selection.

Privacy and data use

By submitting an application, candidates agree that personal data may be processed to assess candidacy and shared with the hiring employer on the basis of legitimate interest and pre-contractual steps under applicable data protection laws, including GDPR. Applicants may exercise data rights such as access, correction, deletion, and objection at any time.

AI tools may also support parts of the review process, including resume screening, response analysis, and identification of potential inconsistencies or verification signals. These tools assist the recruitment team but do not replace human judgment, and final hiring decisions are made by people.