Team Lead Product Analyst

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Team Lead Product Analyst based in Australia.

This is a growth-oriented product analytics leadership opportunity for an experienced analyst ready to expand their impact beyond hands-on analysis. You will initially focus on product and business analytics while progressively taking ownership of larger analytical initiatives, stakeholder relationships, and team leadership responsibilities. The role sits at the intersection of Product, Marketing, Growth, Data, and business strategy, giving you broad visibility into how data drives decisions. You will investigate complex product and business questions, identify opportunities, and translate insights into actionable recommendations. Over time, you will mentor analysts, shape analytical standards, and develop the skills required to lead a product analytics function. This is an ideal environment for someone with strong analytical and business judgment who is motivated to grow into a people leadership role.

Accountabilities

• Investigate changes in product, marketing, and business KPIs, identify root causes, and translate findings into clear business recommendations.
• Conduct user behavior, funnel, retention, cohort, and segmentation analyses to understand product performance and customer behavior.
• Design, evaluate, and interpret experiments, including A/B tests, CUPED/CUPAC methodologies, and the use of proxy metrics.
• Quantify the expected and actual impact of product and marketing initiatives and communicate findings to relevant stakeholders.
• Partner closely with Product, Marketing, Growth, and other business teams to support data-driven decision-making and influence roadmap priorities.
• Generate actionable insights that help improve product performance, customer engagement, retention, and business outcomes.
• Work with Data Engineering to define analytical requirements, improve data quality, and strengthen the reliability of analytical datasets.
• Contribute to analytics infrastructure, dashboards, reporting processes, and metric systems to make insights more accessible and consistent.
• Help establish analytical standards, best practices, and reliable definitions for key product and marketing metrics.
• Support marketing and growth analytics, including LTV, CAC, attribution, funnel measurement, performance analysis, and optimization.
• Develop and validate leading indicators and proxy metrics that enable faster and more informed business decisions.
• Gradually take ownership of larger cross-functional analytical projects and drive them independently from definition through delivery.
• Mentor and support junior analysts, sharing analytical expertise and helping strengthen team capabilities.
• Participate in analytical planning and prioritization while developing stronger stakeholder management and communication skills with senior business leaders.
• Progressively take responsibility for analytical processes, quality standards, and team performance as preparation for a Product Analytics Team Lead position.

Requirements

• Strong professional experience in Product Analytics, with a track record of using data to influence product and business decisions.
• Advanced SQL and strong data analysis capabilities.
• Hands-on experience with product metrics, funnels, retention, cohort analysis, experimentation, and growth analytics.
• Strong business and product thinking, with the ability to connect analytical findings to commercial and strategic outcomes.
• Ability to translate complex datasets and analysis into clear, actionable recommendations for both technical and non-technical stakeholders.
• Excellent stakeholder management and communication skills, with confidence collaborating across Product, Marketing, Growth, Data, and senior leadership.
• Strong ownership mindset, independence, and the ability to take analytical projects from problem definition through implementation and impact measurement.
• Genuine interest in mentoring others and developing toward a people leadership position.
• Upper-Intermediate (B2) English proficiency or higher.
• Availability to work a standard schedule of 9:00–18:00 within GMT+4 to GMT+10 time zones .
• Previous experience mentoring analysts or leading analytical projects is a plus.
• Experience in consumer products, marketplaces, SaaS, gaming, dating, social, subscription, or other high-volume digital businesses is advantageous.
• Experience developing analytics frameworks, metric systems, or analytical standards is a plus.

Benefits

• Full-time remote working opportunity.
• 28 calendar days of vacation per year.
• 7 wellness days per year for personal, household, or recovery needs without using sick leave.
• Referral bonuses of up to $5,000 for successful candidate recommendations.
• 50% reimbursement for professional training, international conferences, and industry events.
• Corporate discounts for English language lessons.
• Health benefits, including compensation of up to $1,000 gross per year per employee for eligible employees who are not covered by corporate medical insurance, which can be used toward personal health insurance or eligible medical expenses for the employee and close relatives.
• Workplace support, including equipped workspaces and necessary equipment at offices or co-working locations.
• Reimbursement of eligible home-office or co-working expenses of up to $1,000 gross once every three years , depending on location and applicable conditions.
• Internal gamified recognition program where colleagues can award bonuses that can be exchanged for merchandise, team-building activities, massage certificates, and other rewards.
• Opportunity to develop toward a Product Analytics Team Lead position with increasing ownership, leadership exposure, and responsibility.
• Compensation details and the initial salary range will be shared with candidates during the recruitment process before employment begins.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.