Product Analyst

SYSGEN RPO; Quezon City; On-site; PHP 600,000 - 900,000; Full time

Job summary

SYSGEN RPO seeks a data/product analyst to support KPI framework and performance reporting across Gaming verticals. You will build dashboards, analyze customer funnels and provide insights to product and commercial stakeholders.

The role emphasizes data quality, collaboration with product teams, and delivering actionable recommendations for business decisions. Strong SQL, Excel, Python or R skills are preferred.

Qualifications

• Degree in Analytics, Data Science, Statistics, Economics or a related field.
• 3-5 years of experience as a data / product analyst, ideally within gaming or digital product environments.
• Experience analyzing large transactional datasets.
• Fluent written and spoken English (business-level).

Responsibilities

• Support and maintain the core product and commercial KPI framework across Sportsbook, Casino, Slots and Poker.
• Build and maintain KPI baselines, executive dashboards and automated performance reporting.
• Deliver regular performance reporting and insights on key metrics across all product verticals to product and commercial stakeholders.
• Analyze the end-to-end customer funnel: registration, KYC, deposit, first bet or spin, retention and reactivation.

Skills

SQL

Advanced Excel

Google Sheets

PowerPoint/Google Slides

Python

R

Data analysis

KPI reporting

Stakeholder communication

Education

Bachelor's degree in Analytics/Data Science/Economics

Tools

SQL

Excel

Google Sheets

PowerPoint/Slides

Python

R

Job description

1. KPI Framework, Performance Reporting & Insight Generation

• Support and maintain the core product and commercial KPI framework across Sportsbook, Casino, Slots and Poker.
• Build and maintain KPI baselines, executive dashboards and automated performance reporting.
• Deliver regular performance reporting and insights on key metrics across all product verticals (Sportsbook, Casino, Slots, Poker) to product and commercial stakeholders.
• Analyze the end-to-end customer funnel: registration, KYC, deposit, first bet or spin, retention and reactivation.
• Perform data mining, aggregation and transformation to uncover trends, product performance, customer behavior and operational efficiencies.
• Conduct root-cause analysis to explain performance shifts and inform strategic decisions.
• Help define consistent KPI standards, reporting frameworks and analytical methodologies.

2. Commercial & Product Decision Support

• Identify revenue opportunities, customer friction points, conversion losses and retention drivers.
• Develop business cases for strategic initiatives, product investments and vendor decisions.
• Design, analyses and report on A/B tests and product experiments to measure the impact of new features and product changes.
• Measure the impact of product changes, content initiatives and operational improvements.
• Provide insight for portfolio prioritization, OKRs and executive decision-making for the CPO.

3. Data Quality & Compliance

• Address data quality issues, including deduplication, outlier detection and correction of inaccuracies in large transactional datasets.
• Support data requirements, reporting design and migration readiness during replat forming.
• Ensure analysis, reporting and KPI tracking comply with applicable local gaming regulations and data protection requirements.

4. Stakeholder Enablement & Collaboration

• Support business teams by presenting insights in clear, compelling formats tailored to technical and non-technical audiences.
• Educate and enable stakeholders on how to interpret and leverage data for their domains.
• Partner with product teams on ad-hoc analysis, forecasting and opportunity sizing.
• Address ad-hoc data analysis requests and support day-to-day administration of analytics initiatives, including real-time monitoring and troubleshooting.

Qualifications

• Degree in Analytics, Data Science, Statistics, Economics or a related field.
• 3-5 years of experience as a data / product analyst, ideally within gaming or digital product environments.
• Experience analyzing large transactional datasets.
• Fluent written and spoken English (business-level).

Preferred Skills

• Advanced SQL (complex joins, CTEs, window functions).
• Advanced Excel skills.
• Working knowledge of Google Sheets.
• Proficient in Microsoft PowerPoint / Google Slides for presenting insights to stakeholders.
• R and/or Python for automation, transformation and modelling.
• Experience with the casino and sportsbook industry is an advantage.