Senior Data Analyst – Product Analytics & BigQuery

Posted One Month Ago
Hiring Remotely in Melbourne, AUS
In-Office or Remote
2M-2M Annually
Senior level
Agency • Professional Services
The Role
Owns end-to-end product, growth, subscription, and commercial analytics. Responsibilities include defining metrics, improving instrumentation and data quality, analyzing customer behavior and retention, reconciling subscription data, building executive dashboards, supporting experimentation, and translating findings into recommendations. The role requires advanced SQL, BigQuery, Python, and stakeholder communication skills, with additional exposure to product analytics, SaaS, mobile subscriptions, e-commerce, AI features, and statistical analysis valued.
Summary Generated by Built In

This is a remote position.

₱135,000–₱150,000 per month | Permanent WFH | Australian day shift

Turn customer, product and subscription data into decisions for a growing Australian nutrition and consumer technology company.

Compensation and Work Arrangement
  • Monthly rate: ₱135,000–₱150,000, based on experience
  • Location: 100% work from home in the Philippines
  • Schedule: Monday–Friday, 6:00 AM–3:00 PM Philippine time
  • Engagement: Long-term, full-time independent contractor
The Opportunity

Own analytics across mobile applications, subscriptions, e-commerce and digital marketing. You’ll work directly with the founder, leadership, product and marketing teams to understand customer behaviour, improve data reliability and identify opportunities for growth.

The analytics environment is already in place. Your role is to strengthen its foundations, establish consistent metrics and turn the data into clear business recommendations.

Known internally as Analytics & Insights Lead, this is a senior, hands-on individual contributor role. You’ll have the opportunity to shape how the business measures performance and makes decisions.

What You’ll Do
  • Own analytics from event tracking and metric definitions through to analysis, reporting and recommendations.
  • Analyse acquisition, activation, funnels, cohorts, retention and churn across the customer lifecycle.
  • Investigate subscription and revenue performance, including trials, conversions, renewals and cancellations.
  • Write advanced SQL in BigQuery, work with nested data and optimise queries.
  • Improve marketing and product instrumentation so customer behaviour is captured accurately.
  • Work with existing data pipelines and ETL tools, investigating missing, duplicated or conflicting data and reconciling sources.
  • Present clear insights and recommendations that help leadership, product and marketing decide what to do next.


Requirements
What You’ll Need
  • End-to-end analytics ownership: Experience taking responsibility for analytics delivery and metric definitions, with clear examples of your personal contribution.
  • Product or customer-lifecycle analytics: Practical experience analysing funnels, cohorts, retention and churn.
  • Advanced SQL and BigQuery: Professional BigQuery experience, including nested data and query optimisation, supported by strong SQL skills.
  • Marketing and product event tracking: Experience defining, implementing or improving instrumentation.
  • Data quality and reconciliation: Experience investigating discrepancies and helping establish reliable, consistent data.
  • Pipelines and ETL: Experience working with data pipelines and ETL tools.
  • Subscription and revenue analytics: Experience analysing recurring-revenue performance and subscription behaviour.
  • Clear communication: Ability to explain findings and business recommendations to technical and non-technical stakeholders.

You should be comfortable taking initiative and working independently while collaborating with the teams responsible for the product and underlying systems.

Preferred Experience
  • Direct experience analysing Stripe data
  • Direct experience working with App Store Connect data
  • Creating dashboards and reporting for leadership

Relevant experience with other subscription platforms is welcome. Direct Stripe and App Store Connect experience is preferred, rather than mandatory.

Additional Experience We Value
  • Python for cleaning, backfills and analysis
  • A/B testing and statistical analysis
  • LLM integration, AI-output evaluation or conversation analysis
  • Structured data and predictive models for personalisation

These are additional strengths, not prerequisites for applying.



Benefits
  • Monthly rate: ₱135,000–₱150,000, based on experience
  • Location: 100% work from home in the Philippines
  • Schedule: Monday–Friday, 6:00 AM–3:00 PM Philippine time
  • Engagement: Long-term, full-time independent contractor

Your current title may be Senior Data Analyst, Product Analyst, Analytics Engineer or Analytics Lead. What matters is the work you have personally owned and the decisions your analysis has supported.

If you meet the essential requirements, we’d like to hear from you—even if you don’t have every preferred or additional skill.



Skills Required

  • Proven experience owning analytics end-to-end, from instrumentation and data foundations through dashboards, insights, and business recommendations
  • Strong product or customer-lifecycle analytics experience, including user behavior, funnels, feature adoption, cohorts, retention, churn, or experimentation
  • Advanced SQL skills, including complex joins, CTEs, subqueries, window functions, and query optimization
  • Professional BigQuery experience working with complex or large datasets
  • Experience improving data quality and resolving missing, duplicated, or conflicting data
  • Experience creating dashboards and reporting used by founders, executives, or senior leadership
  • Ability to translate analysis into clear commercial or product recommendations
  • Strong written and spoken English
  • Confidence working independently in a fast-moving environment without rigid processes
  • Experience in SaaS, subscriptions, consumer applications, e-commerce, or another product-led technology business
  • Mixpanel or comparable product analytics experience
  • GA4 implementation, event tracking, or digital marketing analytics experience
  • Looker Studio or comparable business intelligence tools experience
  • Stitch or another ETL platform experience
  • Stripe subscription, payment, invoice, refund, and payout analysis experience
  • App Store Connect or mobile subscription-lifecycle reporting experience
  • Python and pandas experience for data analysis, cleaning, or backfills
  • A/B testing and applied statistical analysis experience
  • Exposure to LLM integration, AI-output evaluation, conversation analysis, prompt engineering, or predictive modeling
  • Interest in health, nutrition, fitness, or consumer technology
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The Company
HQ: Melbourne
51 Employees
Year Founded: 2021

What We Do

Offshore 24/7 is an Australian-owned offshore staffing provider that helps Australian and global businesses build dedicated remote teams in the Philippines. It manages recruitment, screening, onboarding, HR, payroll, IT, facilities, compliance, and ongoing operational support. The company places Filipino professionals across functions such as administration, bookkeeping, customer service, marketing, engineering, technical support, e-commerce, and back-office operations, integrating them with clients’ teams.

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