Senior Business Intelligence Analyst | US | Hybrid (Open to Cebu)

REALPAGE (PHILIPPINES), INC.; Metro Manila; Hybrid; PHP 900,000 - 1,300,000; Full time

Benefits offered by this job

Meal allowances

HMO coverage

Retirement savings

Leave conversion

Life insurance

Job summary

REALPAGE (PHILIPPINES), INC. is seeking a Senior Data Analyst to strengthen analytics foundations, delivering scalable dashboards and data-driven insights. You will own metrics, definitions, and data validation in a decentralized data environment to support strategic decisions.

Leverage Power BI, Tableau, Looker, and other tools to create impactful analyses, partner with business, product, and technical teams, and provide deep-dive investigations to stakeholders.

Qualifications

• Advanced degree required in a data-related field.
• 5+ years of experience in data analytics or BI.
• Advanced SQL skills for complex, multi-source data environments.
• Strong track record delivering BI dashboards and recurring analytics.
• Experience in decentralized or federated data environments.
• Participation in data inventories, cataloging, or metric standardization initiatives.
• Familiarity with BI tools such as Power BI, Tableau, Looker or equivalents.

Responsibilities

• Design, build, and maintain BI dashboards and analytical solutions.
• Own metrics and KPIs end-to-end, including definitions and validation.
• Translate business questions into analytical approaches and reports.
• Ensure analytics are accurate and well-documented.
• Provide ongoing analytical support to stakeholders with deep dives and investigations.
• Collaborate with business, product, and technical teams to deliver insights.

Skills

Advanced SQL

BI dashboards

Analytics delivery

Decentralized data environments

Education

Advanced degree in Data Science, Statistics, Economics, Computer Science, or related field

Tools

Power BI

Tableau

Looker

Job description

Make an Impact with RealPage

Looking for a role where your work directly influences business outcomes and customer success?

At RealPage, you'll join a global SaaS technology company that is transforming the real estate industry through innovative software, data, and AI-driven solutions. We empower our teams to think big, take ownership, and deliver meaningful results every day.

Whether you're solving complex challenges, collaborating with global stakeholders, or driving operational excellence, you'll have the opportunity to grow your career while making a real impact.

What You'll Do

We are seeking a Senior Data Analyst to play a critical role in strengthening the organization's analytics foundation through business intelligence and data analytics delivery, supported by data discovery and centralization.

This role is accountable for producing high-quality, scalable analytics and dashboards that support decision-making, while also improving clarity and consistency across distributed data systems.

The individual in this role serves as a trusted owner of analytical integrity, responsible for defining and maintaining metric logic, validating data availability and definitions, and ensuring analytics are built on clearly understood and well-documented data sources.

Success requires technical depth, analytical rigor, and the ability to balance day-to-day analytics delivery with ongoing data discovery in a decentralized data environment.

Business Intelligence and Data Analytics

• Design, build, and maintain BI dashboards and analytical solutions that support operational, strategic, and ad hoc analytical needs.


• Own metrics and KPIs end-to-end, including definition, calculation logic, validation, and ongoing consistency.


• Translate business questions into analytical approaches, dashboards, reports, and supporting data structures.


• Ensure analytics are accurate, well-documented, and aligned with agreed-upon metric definitions.


• Provide ongoing analytical support to stakeholders, including investigations, deep dives, and clarification of results.

Data Discovery, Centralization and Documentation

• Lead data discovery efforts to determine whether required data exists, how it is defined, and where it resides.


• Identify equivalent or related data elements across systems and document authoritative sources.


• Support data centralization and consolidation by identifying overlaps, gaps, and inconsistencies across datasets.


• Create and maintain documentation that supports repeatable analytics, metric consistency, and long-term scalability.

Data Quality and Accuracy

• Validate data used in dashboards and analyses to ensure accuracy and reliability.


• Identify data limitations, definition gaps, or quality issues and clearly communicate their impact.


• Promote consistent interpretation and responsible use of metrics across teams.

Cross-Functional Partnership

• Create BI dashboards and analytical outputs in close partnership with business, product, and technical teams.


• Serve as a day-to-day analytics partner supporting decision-making through data and insights.


• Communicate analytical findings, assumptions, and limitations clearly to both technical and nontechnical audiences.


• Operate effectively in environments with evolving documentation and distributed data ownership.

What We're Looking For

Required:

• Advanced degree in Data Science, Statistics, Economics, Computer Science, or a related field.


• 5+ years of experience in data analytics, business intelligence, or a related discipline.


• Advanced SQL skills with experience querying complex, multi-schema, multi-source data environments.


• Strong experience delivering BI dashboards, recurring analytics, and ad hoc analysis for business stakeholders.


• Demonstrated experience operating in decentralized or federated data environments.


• Experience contributing to data inventories, cataloging efforts, or metric standardization initiatives.


• Hands-on experience with modern BI and visualization tools (for example, Power BI, Tableau, Looker, or equivalent).

Preferred:

• Experience with data modeling, analytics engineering, or data science practices.


• Exposure to statistical analysis or advanced analytical techniques.


• Familiarity with formal data governance or data quality frameworks.

Work Schedule & Setup

• Hybrid setup with two onsite days per month


• Supports US business operations - Fixed graveyard shift schedule with night differential pay

What We Offer

• Enjoy complimentary meals while you're in the office


• Day 1 HMO coverage with up to two FREE dependents


• Retirement savings plan


• Leave conversion program


• Life insurance coverage


• Enjoy paid time off, company holidays


• Wellness reimbursement benefits of up to PHP 5,000 per year


• Tuition reimbursement of up to PHP 40,000 for approved education and professional development programs


• Access to learning, development, and upskilling opportunities designed to help you grow your career


• Collaborate with talented people and work on solutions that make a real-world impact