Senior Data Analyst – Product Analytics, BigQuery

Job not on LinkedIn

🕒 May 21

🇵🇭 Philippines – Remote

💵 ₱125k - ₱135k / month

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 34%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Offshore 24/7

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

🤝 B2B

🎯 Recruiter

B2B • Recruitment

Offshore 24/7 is an Australian-focused offshore staffing provider that helps Australian businesses build dedicated remote teams in the Philippines. The company places and manages Philippines-based professionals across a wide range of roles — from virtual assistants, bookkeepers, and paralegals to IT specialists, engineers, and customer support — offering fully managed onboarding, HR, payroll, and ongoing support. Offshore 24/7 emphasizes cost savings (up to ~70%), cultural and communication alignment for Australian clients, a five-stage vetting process, and local points of contact with offices in the Philippines (Clark Freeport Zone) and Australia (Melbourne). The firm targets Australian SMEs and enterprises across many industries and promotes free strategy sessions and a managed staffing solution.

📋 Description

• Own company-wide analytics, including metric definitions, data quality and reporting governance • Develop and maintain a single source of truth for product, growth, subscription and revenue metrics • Design and improve website, campaign and product event tracking • Analyse user behaviour, acquisition, activation, feature adoption, conversion, retention, churn and customer cohorts • Work hands-on with BigQuery, advanced SQL and existing data pipelines • Identify and resolve missing, duplicated or inconsistent data • Reconcile subscription data across Stripe, App Store Connect and other channels • Build and maintain executive, product and growth dashboards using Looker Studio or similar tools • Support A/B testing by defining hypotheses, success metrics and appropriate analysis • Proactively identify trends, risks, growth opportunities and blind spots • Present findings and recommendations clearly to technical and non-technical stakeholders • Use Python where required for data cleaning, backfills, reconciliation and advanced analysis • Support analytics for AI-enabled features, including output evaluation, conversation analysis and personalisation models • Work directly with the founder, leadership, product and marketing teams to inform product, growth and commercial decisions

🎯 Requirements

• Proven experience owning analytics end-to-end—from instrumentation and data foundations through to dashboards, insights and business recommendations • Strong product or customer-lifecycle analytics experience, including user behaviour, funnels, feature adoption, cohorts, retention, churn or experimentation • Advanced SQL skills, including complex joins, CTEs, subqueries, window functions and query optimisation • 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 • Looker Studio or comparable business intelligence tools • Stitch or another ETL platform • Stripe subscription, payment, invoice, refund and payout analysis • App Store Connect or mobile subscription-lifecycle reporting • Python and pandas for data analysis, cleaning or backfills • A/B testing and applied statistical analysis • Exposure to LLM integration, AI-output evaluation, conversation analysis, prompt engineering or predictive modelling • Interest in health, nutrition, fitness or consumer technology

🏖️ Benefits

• Long-term, full-time contractor engagement • 100% permanent work-from-home arrangement • Monday–Friday Australian day shift 0800–1700 • High-impact work across product, marketing, subscriptions and AI