Data & Business Intelligence Analyst

Data & Business Intelligence Analyst (Project-Based | Data Foundation Builder) Location: Remote (Philippines Preferred) Engagement: Project-Based / Contract (Initial 6–12 Weeks) Role Type: Individual Contributor / Strategic Builder About the Role This is not a Virtual Assistant role. This is not a data entry role. More Staffing is looking for a Data & BI Analyst to build our companys data foundation from the ground up. We don't need someone to simply update existing spreadsheets; we need someone to audit our disparate data sources, clean the mess, design the logic, and build a "Single Source of Truth" for our leadership team. You are a builder. You will come in, make sense of the noise, and leave us with a reliable, automated system that drives business decisions. The Mission Your goal is simple but difficult: Turn our messy data into a clear, reliable operating system. By the end of this project, you will hand over a system where leadership can look at the business weekly and monthly with absolute confidence in the numbers. Your Scope of Work: The Audit: Deep dive into our current ecosystem (Manatal, Google Sheets, Sales, Finance, Incentives) to understand what we have and where the breaks are. The Cleanup: Scrub, normalize, and structure datasets. You must be comfortable dealing with broken, inconsistent, "real-world" human data. KPI Design: Define how we measure success. You aren't just visualizing data; you are defining the logic behind Sales, Ops, and Finance metrics. The Build: Create reliable, automated dashboards for leadership. Documentation: Document the data dictionary and the logic so the system is repeatable and scalable after your contract ends. Who We Are Looking For (Non-Negotiables) We are looking for a Business Intelligence Analyst, Analytics Engineer, or Operations Analyst with a track record of impact. Real-World Experience: You have built dashboards from messy, multi-source data before. You don't just work with clean academic datasets. Advanced Spreadsheet Mastery: You are in the top 1% of Google Sheets/Excel users (Query functions, complex modeling, error handling). Business Acumen: You understand how a business works. You can speak to Sales and Finance leaders and translate their needs into data logic. Stakeholder Management: You are comfortable presenting to leadership and challenging "bad data" or vanity metrics. Nice-to-Haves (Strong Plus) Experience with Automation tools (Zapier, Make, APIs) to reduce manual entry. Background in Staffing, Recruitment Agencies, or SaaS Startups. Experience with RevOps (Revenue Operations) data. Who Should NOT Apply Reporting Analysts who are used to simply refreshing existing reports. Academic Profiles who have only worked with clean Kaggle datasets and no business context. Administrative VAs looking for data entry work. The Engagement Type: Project-Based Contract. Duration: Estimated 6–12 weeks to build the foundation. Future Potential: Successful completion could lead to retainer work for maintenance or further phases, but the primary goal is a "build and handoff."