Background
Alternatives.pe provides the most detailed and comprehensive financial information on startups, SMEs, and their investors. Since launching in 2020, the company has already signed up clients like GIC, Sequoia, KKR and most of the leading investors in Southeast Asia. And this is just the beginning.
Role & Responsibilities
You will design and manage the processes that build and maintain our database of Key People who work for Fund Managers, Limited Partners and Family Offices.
Skills Required
- Must be a skilled user of a range of data acquisition tools
- Must be a skilled user of data cleaning and management tools to deduplicate, match, append etc. Ability to write functions in Google AppScript or Python would be a plus
- Familiar with LinkedIn Sales Navigator
- Familiar with dealing with email address data (and its validation)
- Familiar with process automation / integration tools (Make/Zapier etc)
Specific Requirements Of The Job Are
- Design, implement and manage the process of finding new, relevant people that should be included on the Alternatives.pe platform, and maintaining the freshness of that data.
- Process raw data from various sources and prepare it for analysis/ingestion.
- Monitor data quality and implement improvements as needed.
- Help identify new data sources that our subscribers will find valuable.
- Develop a measurement framework that monitors key metrics for management.
- Collaborate with the development team to integrate data processing workflows.
Requirements
- 2-3 years of working experience
- Experience in a role that involves research / data acquisition and data operations.
- Highly developed attention to detail and enjoy getting data sets 100% accurate.
- Good communication skills in English.
- Excellent problem-solving skills
- Ability to work remotely, independently and in a team environment.
- Able to adapt well in a fast-paced startup environment
- Bachelor's degree in a business or technical subject.
Desired Skills and Experience
Process Automation, Data Analysis, Data Management, ETL, Data Quality, SQL, Good Communication Skills, Attention to Detail, Python, Data Science, LinkedIn, Sourcing, Corporate Finance
