### **Offshore Database Engineer / Data Analyst (Project\-Based Contract)** **Company:** Proper **Engagement Type:** Contract / Project\-Based **Duration:** 4–6 weeks **Hours:** Part\-time **Start Date:** January 5, 2026 **Location:** Remote / Offshore Resumes must be submitted in English in order to be considered. ### **About the Project** Proper is seeking a Database Engineer / Data Analyst for a short\-term, project\-based engagement to help organize and structure historical M\&A (mergers \& acquisitions) data. This data currently exists in multiple formats (spreadsheets, PDFs, and other source documents). The goal of this project is to transform that information into a consistent, structured, and usable database that enables benchmarking and comparative analysis for future M\&A and investment decisions. This is an ideal role for someone who enjoys turning messy data into clean, organized, and analyzable datasets. ### **Project Scope \& Responsibilities** * Review and consolidate M\&A\-related data received from \~30 target companies. * Extract and normalize data from spreadsheets, PDFs, and other source formats. * Design and build a structured database to house standardized financial and operational data. * Organize financial data into clearly defined categories to support benchmarking and analysis. * Ensure consistency, accuracy, and data integrity across all entries. * Recommend and implement a Microsoft\-based solution (Excel, Access, or similar). * Document the structure and logic of the database for future internal use. * Partner with internal stakeholders to validate assumptions and data categorization. ### **Working Expectations** * Full\-time or Part\-time commitment over a 3–6 week period. * Some overlap with CST business hours preferred, but not required for the full workday. * Fully remote/offshore role. ### **What Success Looks Like** * A clean, well\-structured, and documented database that consolidates all historical M\&A data. * Financial data organized into standardized categories that enable easy benchmarking. * A tool that can be reused and expanded for future M\&A opportunities. **Requirements** ### **Required Skills \& Experience** * Fluent English * Proven experience in data engineering, database development, or data analytics. * Strong ability to work with unstructured or semi\-structured data. * Advanced proficiency in Microsoft Excel; experience with Microsoft Access or similar tools preferred. * Experience designing databases or structured data models from scratch. * Strong attention to detail and data accuracy. * Ability to work independently and manage a short\-term project with clear deliverables. * Comfortable extracting data from PDFs and disparate source files. ### **Nice to Have** * Experience working with financial data, M\&A data, or investment\-related datasets. * Familiarity with benchmarking or comparative analytics. * Prior experience supporting private equity, investment, or corporate strategy teams. **Benefits** $15\-20/hr based on experience