Senior Data Analyst – Product Analytics & Bigquery

Offshore 247 Outsourcing Opc; Metro Manila; A distancia; PHP 1.507.000 - 1.674.000; Jornada completa

Descripción de la vacante

Offshore 247 Outsourcing Opc is seeking an Analytics & Insights Lead to own end-to-end analytics across mobile applications, subscriptions, e-commerce and digital marketing for a growing Australian company. You will work closely with the founder and leadership to define metrics, strengthen foundations, and turn data into actionable business recommendations.

The role is senior, hands-on, and a long-term remote engagement based in the Philippines.

Formación

• Experience taking responsibility for analytics delivery and metric definitions.
• Analytical work across funnels, cohorts, retention and churn.
• Strong SQL skills and experience with nested data in BigQuery.

Responsabilidades

• 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.
• Present clear insights and recommendations to leadership, product and marketing.
• Work with data pipelines and ETL tools, reconciling sources and resolving discrepancies.

Conocimientos

End-to-end analytics ownership

Product or customer lifecycle

Advanced SQL

BigQuery

Marketing event tracking

Data quality and reconciliation

Pipelines and ETL

Subscription and revenue analytics

Clear communication

Herramientas

BigQuery

Descripción del empleo

₱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.

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.

Why Join?

• Take ownership of analytics and help shape how a growing business uses its data.

• Work directly with the founder and senior decision‑makers.

• See your recommendations influence product, marketing and subscription performance.

• Combine hands‑on technical work with commercial problem‑solving.

• Build a long‑term remote engagement on a consistent weekday schedule.

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.

If you have built trusted analytics foundations and know how to turn product and subscription data into better decisions, we’d like to hear from you.