
Prospect Intelligence Analyst | Research Assistant
- or -
Post a project like this29
$17/hr
- Posted:
- Proposals: 2
- Remote
- #4482274
- Open for Proposals
Description
Experience Level: Entry
ROLE OVERVIEW
Our firm helps small service businesses in the US and UK identify and fix operational revenue leaks — the gaps that cause them to lose enquiries and bookings without realizing it.
You sit at the front of our Prospect Machine. Each week you research small businesses, identify their primary revenue leak, score them, enrich decision maker contacts, and populate our structured prospecting tracker. Your output feeds directly to our Cold Caller and Business Systems Consultants.
This is not a data entry role. It requires pattern recognition, fast decision-making from limited information, and the discipline to work at consistent pace to a fixed weekly deadline.
CORE RESPONSIBILITIES
• Source 150–200 raw businesses per week using scraping tools provided by company
• Filter to 120–150 qualified SMBs
• Review each business's online digital presence — website, booking system, social pages, and online reputation — and conduct test calls outside office hours to assess missed call risk and after-hours responsiveness. Identify the primary operational revenue leak based on what the evidence shows
• Find and verify the decision maker via enrichment tools provided by company
• Score each lead, flag Priority Leads, and escalate leads immediately
• Populate the B2B Prospecting Tracker
• Submit all deliverables via agreed upon platform and time.
Onboarding Ramp
Week 1— 50–60 leads, research and tracker only. Full SOP and training provided. Quality standards apply from day one.
Week 2 onwards — Cold call script prep for top 20 Priority Leads added.
Week 3 onwards — Industry community and directory identification added.
REQUIREMENTS
• Experience in B2B lead research, business intelligence, or structured data research
• Able to make fast, confident decisions from publicly available data
• Strong attention to detail — accurate entries matter more than perfect ones
• Comfortable following a structured SOP independently, without frequent check-ins
• Clear written and spoken English, with prompt communication
COMPENSATION & STRUCTURE
• $17.00/hr · 15 hrs/week · ~$255/week
• Performance review at 45 days — rate increase available for strong performers
HOW TO APPLY
Begin your application with the word SIGNAL — applications that don't will not be reviewed.
Then answer these two questions:
1. Describe a research or data project where you worked to a consistent weekly output target. What tools did you use and what was your weekly volume?
2. You're researching a dental practice. Their website has no online booking system — new patients are instructed to call during office hours only. There is no contact form and no alternative way to enquire outside of calling. In two to three sentences: identify the primary revenue leak, explain why it matters commercially, and give this lead a score out of 10 with a one-sentence justification.
Note
Question 2 has a clear correct answer. We are looking for specific, evidenced reasoning — not a general description of the problem.
Our firm helps small service businesses in the US and UK identify and fix operational revenue leaks — the gaps that cause them to lose enquiries and bookings without realizing it.
You sit at the front of our Prospect Machine. Each week you research small businesses, identify their primary revenue leak, score them, enrich decision maker contacts, and populate our structured prospecting tracker. Your output feeds directly to our Cold Caller and Business Systems Consultants.
This is not a data entry role. It requires pattern recognition, fast decision-making from limited information, and the discipline to work at consistent pace to a fixed weekly deadline.
CORE RESPONSIBILITIES
• Source 150–200 raw businesses per week using scraping tools provided by company
• Filter to 120–150 qualified SMBs
• Review each business's online digital presence — website, booking system, social pages, and online reputation — and conduct test calls outside office hours to assess missed call risk and after-hours responsiveness. Identify the primary operational revenue leak based on what the evidence shows
• Find and verify the decision maker via enrichment tools provided by company
• Score each lead, flag Priority Leads, and escalate leads immediately
• Populate the B2B Prospecting Tracker
• Submit all deliverables via agreed upon platform and time.
Onboarding Ramp
Week 1— 50–60 leads, research and tracker only. Full SOP and training provided. Quality standards apply from day one.
Week 2 onwards — Cold call script prep for top 20 Priority Leads added.
Week 3 onwards — Industry community and directory identification added.
REQUIREMENTS
• Experience in B2B lead research, business intelligence, or structured data research
• Able to make fast, confident decisions from publicly available data
• Strong attention to detail — accurate entries matter more than perfect ones
• Comfortable following a structured SOP independently, without frequent check-ins
• Clear written and spoken English, with prompt communication
COMPENSATION & STRUCTURE
• $17.00/hr · 15 hrs/week · ~$255/week
• Performance review at 45 days — rate increase available for strong performers
HOW TO APPLY
Begin your application with the word SIGNAL — applications that don't will not be reviewed.
Then answer these two questions:
1. Describe a research or data project where you worked to a consistent weekly output target. What tools did you use and what was your weekly volume?
2. You're researching a dental practice. Their website has no online booking system — new patients are instructed to call during office hours only. There is no contact form and no alternative way to enquire outside of calling. In two to three sentences: identify the primary revenue leak, explain why it matters commercially, and give this lead a score out of 10 with a one-sentence justification.
Note
Question 2 has a clear correct answer. We are looking for specific, evidenced reasoning — not a general description of the problem.
Derrick H.
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Last project
20 Mar 2026
United Kingdom
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