Senior Data Analyst
Job Level: Senior / Managerial
Report to: Head of Business Analyst
Location: BGC, Taguig, Philippines
Employment Type: Full-time
About Us
We are a PAGCOR-licensed gaming service provider headquartered in the Philippines. Our company specializes in electronic gaming solutions, including proprietary eCasino content, and partners with multiple integrated resorts across the country. One of our flagship brands, Casino Plus, operates both online and offline gaming platforms.
As our business continues to scale, we are looking for a highly analytical and commercially minded Senior Data Analyst to partner closely with Product, Marketing, Operations, User Growth, and other business functions.
About the Role
The Senior Data Analyst will act as a business problem solver and data partner, rather than simply a reporting or dashboard resource.
This role is responsible for deeply understanding business models, identifying problems and opportunities, structuring complex business questions, and translating data into actionable insights and recommendations.
The ideal candidate is able to independently take an ambiguous business problem from problem definition → analytical framework → data extraction → analysis → insight → recommendation → business impact.
You should be comfortable challenging assumptions, asking the right business questions, and communicating complex analytical findings clearly to both technical and non-technical stakeholders.
Experience in Gaming / iGaming, Internet, E-commerce, FinTech, Digital Products, or other data-driven consumer businesses is highly preferred.
Key Responsibilities
1. Business Analytics & Problem Solving
- Deeply understand assigned business areas, including Platform Marketing, User Growth, Out-of-App/In-Feed Advertising, Game Products, and other key business functions.
- Proactively identify business problems, performance gaps, growth opportunities, and potential risks through data analysis.
- Translate ambiguous business questions into structured analytical frameworks, hypotheses, key metrics, and actionable analysis plans.
- Conduct end-to-end analysis and provide clear recommendations to Product, Operations, Marketing, and business leadership.
- Move beyond descriptive reporting to identify why something happened, what it means for the business, and what should be done next.
2. Business Performance & KPI Analysis
- Establish and continuously improve business KPI monitoring systems.
- Monitor key business metrics, identify abnormal trends, and proactively investigate underlying drivers.
- Analyze key gaming and digital business metrics such as revenue, GGR, NGR, user acquisition, retention, conversion, CAC, LTV, ROI, payment performance, and channel efficiency.
- Develop user, product, channel, and campaign-level analysis to support business optimization.
- Conduct cohort, segmentation, funnel, attribution, and performance analysis where relevant.
3. Special Projects & Strategic Analysis
- Independently lead analytical projects from problem definition through final recommendation.
- Conduct deep-dive analysis for strategic initiatives such as product launches, user growth, marketing investment, new channels, and business expansion.
- Build financial and business models to evaluate commercial opportunities and investment decisions.
- Prepare analytical reports and business reviews for senior management.
- Quantify the potential business impact of recommendations and track results after implementation.
4. Data Products & Analytics Infrastructure
- Participate in the development and optimization of data products, dashboards, and business monitoring systems.
- Work with Data Engineering and Product teams to improve data availability, quality, and usability.
- Contribute to data warehouse table design, scheduling, data definitions, and ETL processes where required.
- Identify opportunities to automate recurring analysis and improve the efficiency of business data usage.
- Ensure business KPIs have clear definitions and consistent data standards.
5. Cross-functional Business Partnership
- Work closely with Product, Operations, Marketing, User Growth, Data Development, and other business teams.
- Challenge business assumptions with data and provide objective recommendations.
- Translate complex analytical findings into clear business language for non-technical stakeholders.
- Drive data-driven decision-making and support business teams in implementing analytical recommendations.
- Build strong relationships with business stakeholders and become a trusted data partner.
6. Data Culture & Methodology
- Develop and document analytical methodologies, frameworks, and best practices.
- Share analytical approaches and business insights with business teams to improve data literacy.
- Promote a data-driven culture across the organization.
- Continuously explore new analytical approaches, technologies, and AI-assisted tools to improve analytical efficiency and quality.
Requirements
Technical Skills
- Minimum 5 years of relevant experience in Data Analytics, Business Analytics, Product Analytics, Growth Analytics, or a related field.
- Advanced proficiency in SQL, including complex queries, multi-table joins, data aggregation, and analytical logic.
- Experience working with big data platforms such as Hive, MaxCompute, Spark, or similar technologies.
- Strong proficiency in at least one analytical programming language, preferably Python or R.
- Experience with data visualization and BI tools such as Tableau, Power BI, Looker, or similar platforms.
- Solid understanding of data warehouse architecture, data modeling, ETL processes, and data pipelines.
- Strong Excel skills and experience working with large and complex datasets.
- Experience with statistical analysis, cohort analysis, funnel analysis, segmentation, A/B testing, or attribution analysis is an advantage.
Business & Analytical Capabilities
- Strong business acumen and the ability to quickly understand complex business models.
- Excellent logical and structured thinking with strong problem-solving capabilities.
- Ability to independently break down ambiguous business problems into clear analytical frameworks.
- Able to complete the full analytical process from data extraction, cleaning, analysis, visualization, insight generation, to recommendation and presentation.
- Strong commercial sensitivity and understanding of how business decisions impact revenue, cost, growth, profitability, and ROI.
- Able to distinguish between data findings and meaningful business insights.
- Strong ability to challenge assumptions and identify the root cause behind business performance.
Communication & Mindset
- Excellent communication and stakeholder management skills.
- Able to explain complex analytical findings clearly to business leaders and non-technical stakeholders.
- Strong ownership and self-motivation, with the ability to proactively identify problems rather than simply respond to requests.
- Comfortable working in a fast-paced and highly dynamic business environment.
- Strong learning agility and willingness to continuously improve analytical methodologies and tools.
- Open to using AI-assisted analytics and emerging technologies to improve productivity, data exploration, and analytical quality.
Preferred Qualifications
- Experience in Gaming / iGaming, Internet, E-commerce, FinTech, Digital Entertainment, Consumer Internet, or other high-growth technology businesses.
- Experience working with online gaming metrics such as GGR, NGR, player activity, retention, CAC, LTV, payment channels, and gaming product performance.
- Experience supporting Product, Growth, Marketing, or Operations teams as a business analytics partner.
- Experience working in a regional or multinational organization.
- Experience with experimentation, predictive analytics, machine learning, or advanced statistical modeling is a plus.
- Experience using AI tools to improve SQL development, data exploration, analytical workflows, or business reporting is an advantage.