Product Insight Analyst

IDGC; Quezon City; Presencial; PHP 600.000 - 1.000.000; Jornada completa

Descripción de la vacante

IDGC is seeking a Product Insight Analyst to empower commercial and product intelligence across Sportsbook, Casino, Slots and Poker. You will maintain KPI frameworks, build executive dashboards and deliver data-driven insights to the CPO and stakeholders.

Collaborating with BI, Product and Finance teams, you will drive decision making, support business cases for investments, measure impact of changes, and ensure data quality and compliance in a regulated gaming environment.

Formación

• University degree in analytics or related field.
• 3+ years experience as data/product analyst, preferably in gaming/digital products.
• Experience analyzing large transactional datasets.
• Fluent written and spoken English (business-level).

Responsabilidades

• 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 stakeholders.
• Analyze the end-to-end customer funnel: registration, KYC, deposit, first bet/spin, retention and reactivation.
• Perform data mining, transformation to uncover trends and product performance.
• Conduct root-cause analysis to explain performance shifts and inform decisions.
• Help define KPI standards, reporting frameworks and analytical methodologies.
• Identify revenue opportunities, friction points, conversion losses and retention drivers.
• Design, analyze and report on A/B tests and product experiments.
• Provide insight for portfolio prioritization and executive decision-making.

Conocimientos

SQL

Power BI

Excel

Google Sheets

PowerPoint

Python/R

Statistics

Educación

University degree in Analytics, Data Science, Statistics, Economics

Herramientas

SQL

Power BI

Excel

Google Sheets

Python

R

PowerPoint

Descripción del empleo

PRODUCT INSIGHT ANALYST

Full Work Onsite

I. JOB OVERVIEW:

The Product Insight Analyst supports the commercial and product intelligence IDGC needs to prioritize investment, measure impact and identify growth opportunities across Sportsbook, Casino, Slots and Poker. The role supports the core KPI framework, executive dashboards and performance reporting, and turns data into clear, actionable insight for the Chief Product Officer and product stakeholders.

Working closely with Business Intelligence, Product and Finance teams, the Product Insight Analyst drives data-driven, customer-centric decision making across the organization. The role supports business cases for strategic initiatives and product investments, measures the impact of product and commercial changes, and helps maintain consistent KPI definitions and measurement standards across the product portfolio.

II. DUTIES AND 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 (Sportsbook, Casino, Slots, Poker) to product and commercial stakeholders.

Analyse 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 behaviour 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.

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, analyze 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.

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.

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.

III. QUALIFICATIONS AND EDUCATIONAL REQUIREMENTS:

• University degree in Analytics, Data Science, Statistics, Economics or a related field.
• 3+ 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).

IV. 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.

Competencies and Skills

Strong communication and storytelling ability; able to translate complex analysis into clear insight and recommendations.

Curious, hypothesis-driven and structured in approach.

Excellent eye for detail.

Organized and proactive with focus on day-to-day insight generation.

High resilience, particularly during peak sports and gaming periods.

Ethical and responsible handling of data.