Job Summary: We are seeking a highly detail-oriented and resourceful
Data Miner to support our Sales Team by researching and compiling accurate, up-to-date information on
Homeowners Associations (HOAs), Condominium Boards, and their key contacts. This individual will play a critical role in fueling our sales pipeline by identifying target communities, uncovering decision-makers (Board members), and sourcing their contact information for outreach and engagement.
Key Responsibilities: - Research and identify HOA and condo communities within designated geographic areas.
- Locate names and roles of current Board members (e.g., President, Treasurer, Secretary).
- Gather contact information such as email addresses, phone numbers, mailing addresses, and websites.
- Maintain and update a structured database or CRM with verified, accurate data.
- Work closely with the Sales Team to prioritize target lists based on market strategy.
- Validate and cross-check data sources to ensure accuracy and reduce bounce rates.
- Monitor public records, directories, management company websites, and other online platforms.
- Track data mining progress and provide weekly reports on volume and quality of leads sourced.
Qualifications: - Familiarity with public records, property databases, and HOA/Condo directories.
- Strong proficiency in Microsoft Excel or Google Sheets; experience with CRM systems is a plus.
- Excellent internet research skills and ability to think creatively to find information.
- High attention to detail and data accuracy.
- Strong organizational and time management skills.
- Self-motivated, goal-driven, and able to work independently.
Preferred Skills (Nice to Have): - Experience using tools like Social Media, Websites, Person Finder, ZoomInfo, Hunter.io, or similar data enrichment platforms.
- Knowledge of the HOA and property management industry.
- Understanding of sales funnels and how prospect data drives outreach.
Performance Metrics: - Number of qualified HOA/condo communities identified per week/month.
- Accuracy and completeness of contact data collected.
- Percentage of data usable by Sales team (e.g., low bounce rate, correct decision-makers).
- Timeliness of data updates and responsiveness to team needs.