Indeed
Offshore Database Engineer / Data Analyst (Project-Based Contract)
### **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

79Q22222+22
R$15-20/hour