Data Visualization Specialist

Role overview

This part-time opportunity is based in Ireland and is being managed through a partner employer that handles the application process and all subsequent hiring steps. The position operates in a globally distributed, mission-focused setting where data, product thinking, and user outcomes come together. In this role, you will turn complex data into practical insights that support product decisions, commercial planning, and leadership visibility. Your work will help build dashboards and analytical views that explain user behavior, product performance, and opportunities for improvement across multiple markets.

The position calls for someone who can combine analytical depth with clear communication. You will work with product stakeholders to define meaningful metrics, monitor engagement patterns, and present findings in a way that drives action. The role also gives you the chance to influence decisions that enhance digital services used in diverse contexts.

Key accountabilities

• Create clear, user-friendly dashboards and visual reports that highlight core performance measures and trends, using tools such as Google Data Studio or similar platforms.
• Check data for accuracy and consistency, investigate issues in datasets or reporting flows, and resolve problems that affect reliability.
• Partner with product leadership to build executive dashboards that inform roadmap decisions and commercial strategy.
• Analyze product data in depth across regions to identify patterns, trends, and practical opportunities for improvement.
• Carry out funnel and churn analysis to understand user journeys, pinpoint drop-off points, and suggest changes that strengthen engagement and retention.
• Convert complex analysis into concise, story-led insights for leaders, partners, and other stakeholders.
• Help define product metrics and support a shared measurement approach across teams.

Requirements

• 3 to 5 years of experience in data analysis, data visualization, or a closely related analytical function.
• Strong command of SQL for querying and working with large datasets.
• Practical experience with dashboarding platforms such as Google Data Studio or comparable tools.
• Advanced-level Excel ability for analysis, reporting, and data modeling.
• Strong troubleshooting skills, including experience identifying data issues and explaining technical topics in simple terms.
• Comfort working independently while collaborating with remote, cross-functional, international teams.
• Exposure to data warehouse systems such as BigQuery, Snowflake, or Redshift is 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 across varied or emerging markets.

Benefits and work arrangement

• Flexible part-time schedule at around 50% to 60% effort.
• Fully remote setup within a global team.
• Opportunity to contribute to large-scale digital services serving multiple countries.
• Close collaboration with international product and data teams in a mission-driven environment.
• Exposure to strategic decision-making that affects product growth and user experience.
• Compensation that is competitive and aligned with experience and the scope of the role.

Application and privacy information

This role is promoted on behalf of a partner company, which oversees applications and next steps. Applications are reviewed through an AI-supported matching process intended to assess fit against the role’s core requirements quickly and fairly. The strongest matches are passed to the hiring employer, while interviews, assessments, and final decisions are handled by their internal team.

By submitting an application, you consent to the processing of your personal data for candidacy evaluation and sharing relevant details with the hiring employer. This is based on legitimate interest and pre-contractual measures under applicable data protection laws, including GDPR. You may exercise your rights to access, correct, delete, or object to this processing at any time.

Artificial intelligence tools may also be used to support parts of the recruitment process, such as application review, resume analysis, response assessment, or detecting inconsistencies in submitted materials. These tools assist the recruitment team but do not replace human judgment. Final hiring decisions are made by people. If you would like more information about data processing, you may contact the employer for details.