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 ProjectProper 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.
- 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.
RequirementsRequired 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.
- 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
Top Skills
What We Do
Proper is transforming the multifamily property management industry through a nationwide rollup model—leveraging AI, process innovation, and a strong focus on employee and resident experience.
We streamline building and back-office operations, drive higher NOI for property owners, and elevate the end-to-end experience for building owners, employees and residents alike. With multiple completed transactions and more in the pipeline, Proper acquires management companies with assets of all sizes, geographic locations, and asset classes.
Join us in shaping the future of property management.
