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SmartConsulting.net is looking for a BI and Data Analyst to join our team in Parañaque, Metro Manila. This position focuses on data analysis, reporting, and visualization to generate actionable insights. Candidates should have a strong background in SQL, experience with BI tools like Tableau or Power BI, and a solid understanding of the iGaming industry.
We offer a comprehensive benefits package, including HMO healthcare, training programs, and opportunities for career advancement within a fast-growing company.
Location: Onsite, Parañaque, Metro Manila, Philippines
Employment Type: Full-time
We are a Philippine-based livestream gaming entertainment platform preparing to launch in Q3 2026. Operating under a Philippine Integrated Resorts and Casino license regulated by PAGCOR, we are building a dynamic team to deliver world-class digital entertainment experiences. Our platform combines live gaming, original programming, and interactive content to create a unique entertainment destination for our audience.
We are looking for analytical, data-driven professionals who want to be part of something new and exciting from the ground up.
We are seeking a BI and Data Analyst to join our Business Intelligence team, reporting to the BI and Data Manager. You will play a key role in turning raw data into actionable, data-driven insights that drive decision-making across the organization. This is a hands‑on analytical role focused on data analysis, reporting, data visualization, and player behavior analysis.
iGaming experience is required for this role, as you will be working with industry-specific metrics and player data from day one.
Data Analysis and Reporting: Conduct data analysis across key platform metrics including player activity, engagement, retention, and revenue. Deliver regular and ad‑hoc reports to support business decision‑making.
Data Visualization and Dashboards: Build and maintain dashboards using business intelligence and data visualization tools (Tableau, Power BI, or similar) to provide real‑time visibility into platform performance.
SQL and Data Extraction: Write and optimize SQL queries to extract, transform, and analyze data from multiple sources.
Player Behavior Analysis: Perform deep‑dive analytics on player behavior, including engagement patterns, churn indicators, deposit and withdrawal trends, and lifecycle stage analysis.
Business Intelligence Support: Support the BI and Data Manager in designing and maintaining data models, ensuring data quality, and documenting data definitions and metrics.
Campaign and Performance Analytics: Analyze marketing campaign performance, promotional effectiveness, and acquisition channel ROI to support data‑driven optimization.
Excel and Ad‑Hoc Analysis: Produce ad‑hoc analyses and Excel‑based models as needed to support cross‑functional teams (marketing, product, operations, finance).
Process Automation: Identify opportunities to automate recurring reports and data workflows to improve team efficiency.
Cross‑Functional Collaboration: Work with marketing, product, operations, and finance teams to understand their data needs and deliver actionable insights.