કામનું વર્ણન

Role overview

This part-time opportunity is based in Australia and is being shared on behalf of a partner company that handles the application process and all subsequent hiring steps. The role blends data analysis, product thinking, and user-focused impact within a globally distributed, mission-led environment.

In this position, you will turn complex datasets into clear insights that help shape product direction and commercial choices. You will contribute to dashboard development and analytical tooling that supports leadership in understanding user behavior and product performance. Working with product stakeholders, you will help define key metrics, monitor engagement patterns, and spot opportunities to improve outcomes across digital services used in multiple markets.

The work calls for both analytical depth and strong communication skills, as you will be expected to convert technical findings into practical, story-led recommendations for decision-makers.

Key responsibilities

Create straightforward, effective dashboards and visual reports that highlight important performance measures and trends, using tools such as Google Data Studio.
Protect the quality of reporting by finding, investigating, and fixing data inconsistencies and pipeline issues.
Partner with product leaders to build executive dashboards that inform roadmap priorities and commercial planning.
Analyze product performance across regions to identify patterns, trends, and useful actions.
Carry out funnel and churn analysis to understand user journeys, locate points of friction, and suggest ways to improve engagement and retention.
Present analytical findings in a clear narrative format that can be understood by leadership, partners, and other stakeholders.
Help define product metrics and support a shared measurement approach across teams.

Requirements

At least 3 to 5 years of experience in data analysis, visualization, or a similar analytical position.
Strong SQL ability for working with and shaping large datasets.
Practical experience with dashboarding platforms such as Google Data Studio or similar tools.
Advanced-level Excel skills for analysis, reporting, and data modeling.
Strong troubleshooting and problem-solving skills, including the ability to explain technical matters clearly.
Comfort working independently while collaborating across remote, cross-functional, and global teams.
Exposure to data warehouse systems such as BigQuery, Snowflake, or Redshift is considered an advantage.
A degree in Computer Science, Data Science, Statistics, or a related discipline is preferred.
Genuine interest in using data to improve digital services and user outcomes in diverse or emerging markets.

Benefits

Flexible part-time arrangement with an estimated 50% to 60% level of effort.
Completely remote work setup within a global team.
Chance to influence high-impact digital services that operate across several countries.
Collaboration with international product and data teams in a purpose-driven setting.
Exposure to strategic decisions that affect product growth and the user experience.
Competitive compensation based on experience and scope of responsibility.

Application and hiring process

This role is managed through a matching process that is designed to assess applications quickly, consistently, and fairly against the core requirements. The strongest-fitting candidates are shortlisted and passed on to the hiring company, which oversees interviews, assessments, and final decisions.

Data privacy and AI use

By applying, you consent to the processing of your personal data for candidate evaluation and for sharing relevant details with the hiring employer, in line with applicable data protection laws such as GDPR and based on legitimate interest and pre-contractual measures. You may request access, correction, deletion, or objection at any time.

Artificial intelligence tools may also be used to support parts of the hiring workflow, including application review, resume analysis, response evaluation, and the flagging of potential inconsistencies or verification signals. These tools assist the recruitment process but do not replace human judgment, and the final decision is made by people. For more information about data handling, you may contact the company directly.

Data Visualization Specialist (Part-Time)