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.

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.

• 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.

• 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.

• 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

• 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.

• 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