Data Analyst (Junior/Mid-Level) Location: Remote - Philippines Compensation: Philippines: $1,500 - $1,700 USD/month Industry: SaaS / PropTech / Real Estate Technology Schedule: Full-time, flexible remote hours with overlap to core business needs (UK hours) About The Role We are seeking a Junior/Mid-Level Data Analyst to join a fast-growing SaaS technology company operating at the intersection of property management and hospitality. The company's platform powers flexible living and short-to-midterm rental operations for institutional real estate owners worldwide. In this role, you'll help build and optimize data dashboards, automate reporting processes, and deliver AI-assisted analytics that drive insights across finance, marketing, account management, and product teams. This is a hands-on role, ideal for someone with strong SQL and BI skills who wants to grow in a collaborative, tech-forward environment. Key Responsibilities Build & enhance dashboards: Develop new reports in Superset (or similar BI tools such as Looker Studio, Power BI, Tableau) and improve existing ones with cleaner queries, stronger visuals, and better usability. Optimize SQL queries: Write and refine complex queries (joins, aggregations, window functions) to improve performance and accuracy across high-volume datasets. Automate reporting: Standardize and streamline recurring reports, reducing manual effort through automation tools and workflows. Leverage AI in analytics: Support enhancements such as automated commentary, anomaly/discrepancy detection, and intelligent insights. Support teams with ad hoc requests: Provide timely reporting for Finance, Marketing, Account Management, and other internal stakeholders. Troubleshoot & resolve issues: Investigate data discrepancies, debug broken reports, and maintain data integrity. Collaborate with stakeholders: Participate in team meetings, clarify requirements, and ensure deliverables align with business objectives. What We're Looking For 2-3 years of experience as a Data Analyst or in a similar role. Strong SQL skills, including complex queries and performance optimization. Hands-on experience with BI tools (Superset; Looker Studio, Power BI, or Tableau also valuable). Comfortable with automation tools and eager to learn AI-assisted analytics/reporting. Strong attention to detail, analytical mindset, and ability to communicate insights clearly. Collaborative, proactive, and able to thrive in a fast-moving SaaS/tech environment. What This Role Does Not Require Senior-level stakeholder management or C-suite engagement. Advanced statistical modeling or machine learning. 8+ years of experience - this role is designed for a junior to mid-level profile. Why Join Us Impactful Work: Your insights will directly shape operational efficiency and client success across a global platform. Cutting-Edge Tech: Be part of a team pioneering SaaS and PropTech solutions with AI-driven analytics. Growth Potential: Develop your skills in a supportive environment that values innovation and continuous learning. Flexibility: Enjoy the freedom of remote work while collaborating with talented colleagues worldwide Show more Show less