Product Analyst

Sysgen RPO; Philippines; On-site; PHP 900,000 - 1,400,000; Full time

Job summary

Sysgen RPO in the Philippines seeks a data/product analyst to own KPI framework, performance reporting, and insight generation across sportsbook and digital products. You will build KPI baselines, dashboards, and automated reporting to inform product and commercial decisions.

You will contribute to commercial decision support, data quality and compliance, and stakeholder enablement, partnering with product teams on ad-hoc analyses, forecasting, and opportunities sizing.

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

• KPI Framework, Performance Reporting & Insight Generation across Sportsbook, Casino, Slots and Poker.
• Commercial & Product Decision Support including business cases and A/B tests.
• Data Quality & Compliance ensuring data integrity and regulatory adherence.
• Stakeholder Enablement & Collaboration to present insights to technical and non-technical audiences.

Skills

Data analysis

English fluency

Education

Degree in Analytics, Data Science, Statistics, Economics or related field

Tools

SQL

Power BI

Excel

Google Sheets

PowerPoint

R/Python

Job description

DUTIES AND RESPONSIBILITIES

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).
• Strong Power BI experience (data modelling, DAX, Power Query, dataflows).
• 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.