Senior Lead Generation & Research Analyst (LATAM)

📌 Core Information

🔹 Job Title: Senior Lead Generation & Research Analyst (LATAM)

🔹 Company: Agent

🔹 Location: Remote (LATAM-based preferred)

🔹 Job Type: Full-Time

🔹 Category: Sales & Marketing

🔹 Date Posted: July 1, 2025

🔹 Experience Level: Mid-Senior level (5-10 years)

🔹 Remote Status: Remote (LATAM-based preferred)

🚀 Job Overview

Key aspects of this role include:

• Building verified, accurate lead lists in the logistics and supply chain space
• Identifying and profiling relevant companies and key decision-makers
• Enriching company and contact profiles with accurate and up-to-date information
• Fueling the outbound process with precision and quality
• Collaborating with cross-functional teams to improve sales processes

ASSUMPTION: This role is highly specialized and requires a strong background in lead generation and research, with a focus on the logistics industry.

📋 Key Responsibilities

✅ Company & Contact Research:

• Identify and profile relevant companies within the logistics and supply chain space
• Research ownership structure, size, business model, and tech usage
• Find and map key decision-makers (VPs, Directors, Heads of Logistics/Operations)

✅ Lead Generation & List Building:

• Build verified lead lists based on firmographic and role-based targeting criteria
• Utilize tools such as LinkedIn Sales Navigator, Apollo, SalesQL, ZoomInfo, RocketReach, and public databases
• Focus on data integrity: no bounces, no fluff, no filler

✅ Data Validation & Enrichment:

• Cross-check and verify all contact info — emails, phone numbers, job titles, company URLs, etc.
• Enrich existing leads with missing information and ensure consistency across tools
• Document sources, track confidence level, and annotate unusual cases

ASSUMPTION: The role requires a high level of attention to detail and a strong commitment to data accuracy and integrity.

🎯 Required Qualifications

Education: Bachelor's degree in a relevant field (e.g., Business, Marketing, or a related discipline) or equivalent experience

Experience: 4+ years in a data research, lead generation, or SaaS ops role

Required Skills:

• Proficient in English, especially written
• Strong experience with tools like Apollo, LinkedIn Sales Navigator, SalesQL, ZoomInfo, ContactOut, etc.
• Proficient in spreadsheets (Google Sheets or Excel); bonus for SQL or data analysis exposure
• Experience supporting SDR/BDR or RevOps teams is a plus

Preferred Skills:

• Familiarity with logistics, freight forwarding, or B2B tech

ASSUMPTION: While industry-specific knowledge is helpful, the role is more focused on strong research and data management skills.

💰 Compensation & Benefits

Salary Range: $2,000 - $2,500 USD per month (depending on experience)

Benefits:

• Remote work with flexible hours
• Opportunity to work for a fast-growing, venture-backed SaaS company
• Competitive compensation and potential for growth

Working Hours: Full-time, with hours aligned to Pacific Standard Time (PST)

ASSUMPTION: The salary range provided is an estimate based on industry standards for similar roles and experience levels. The actual salary may vary depending on the candidate's qualifications and the company's budget.

📌 Applicant Insights

🔍 Company Context

Industry: The company operates in the highly specialized logistics vertical, solving a problem nearly every sales team in the industry faces: outdated, inefficient sales processes.

Company Size: Small (14 employees), which may offer more opportunities for growth and impact on the company's success.

Founded: The company was founded in 2021 and has since grown to hundreds of thousands in ARR, with a revenue projection of $1.8M in the next year.

Company Description:

• The company is a fast-growing, venture-backed SaaS company on a mission to transform how logistics companies sell.
• They've built a product that customers genuinely love and have scaled to hundreds of thousands in ARR in just over a year.
• The company operates in a cash-efficient manner, only spending what they've earned.

Company Specialties:

• Logistics sales software
• Outbound sales process improvement
• Data-driven sales strategies

Company Website: getagents.co

ASSUMPTION: The company's small size and rapid growth may present unique opportunities and challenges for employees.

📊 Role Analysis

Career Level: Mid-Senior level (5-10 years of experience)

Reporting Structure: This role may report directly to the Head of Sales or a similar leadership position, depending on the company's organizational structure.

Work Arrangement: Remote (LATAM-based preferred), with hours aligned to Pacific Standard Time (PST)

Growth Opportunities:

• As the company continues to grow, there may be opportunities for career advancement within the sales or marketing departments.
• The role may evolve over time as the company's needs and priorities change.

ASSUMPTION: The growth opportunities for this role will depend on the company's continued success and the employee's performance and initiative.

🌍 Location & Work Environment

Office Type: Remote (no physical office)

Office Location(s): N/A (remote work)

Geographic Context:

• The role is remote and LATAM-based preferred, which may offer flexibility in work hours and location.
• The company is based in the United States, but the role is designed to be remote-friendly.

Work Schedule: Full-time, with hours aligned to Pacific Standard Time (PST)

ASSUMPTION: The remote work arrangement may require some flexibility in work hours to accommodate team meetings and collaboration.

💼 Interview & Application Insights

Typical Process:

• Online application submission
• Phone or video screen with the hiring manager
• Technical assessment or case study
• Final interview with the team

Key Assessment Areas:

• Data research and analysis skills
• Lead generation and list building experience
• Proficiency with relevant tools and software
• Communication and collaboration skills

Application Tips:

• Highlight your relevant experience and skills in your resume and cover letter.
• Be prepared to discuss your approach to data research and validation.
• Demonstrate your understanding of the logistics industry and the company's mission.

ATS Keywords: Lead Generation, Research, Data Validation, Data Enrichment, LinkedIn Sales Navigator, Apollo, SalesQL, ZoomInfo, ContactOut, Spreadsheets, SQL, Data Analysis, Logistics, B2B Tech

ASSUMPTION: The application process may vary depending on the company's needs and the number of applicants.

🛠️ Tools & Technologies

• LinkedIn Sales Navigator
• Apollo
• SalesQL
• ZoomInfo
• RocketReach
• Public databases
• Google Sheets or Excel
• SQL (bonus)

ASSUMPTION: The tools and technologies required for this role may evolve as the company's needs and priorities change.

👔 Cultural Fit Considerations

Company Values:

• Customer-focused
• Data-driven
• Collaborative
• Innovative

Work Style:

• Remote-friendly
• Flexible hours
• Results-oriented
• Strong attention to detail

Self-Assessment Questions:

• Do you thrive in a remote work environment?
• Are you comfortable working with a high degree of autonomy and responsibility?
• Do you have a strong attention to detail and a commitment to data accuracy?

ASSUMPTION: The company's small size and rapid growth may require employees to be adaptable and proactive in their approach to work.

⚠️ Potential Challenges

• The role may require some flexibility in work hours to accommodate team meetings and collaboration.
• The company's small size may present unique challenges in terms of resources and support.
• The role may require a high degree of self-motivation and initiative.

ASSUMPTION: The potential challenges of this role will depend on the individual's work style, the company's growth and development, and the employee's ability to adapt to change.

📈 Similar Roles Comparison

• This role is similar to other lead generation and research analyst positions, but with a focus on the logistics industry.
• The role may differ from other positions in terms of the required level of data validation and enrichment.
• The role may offer more opportunities for growth and impact than similar positions in larger organizations.

ASSUMPTION: The comparison of this role to similar positions will depend on the individual's experience, the company's needs, and the industry's trends and developments.

📝 Sample Projects

• Building a verified lead list for a specific logistics sub-industry (e.g., freight forwarding, warehousing, or transportation management)
• Researching and profiling key decision-makers within a specific geographic region or market segment
• Validating and enriching existing lead lists to improve data accuracy and consistency

ASSUMPTION: The sample projects provided are intended to illustrate the types of tasks and responsibilities associated with this role, but may not be representative of the specific projects or initiatives the employee will work on.

❓ Key Questions to Ask During Interview

• Can you describe the company's approach to data-driven sales strategies?
• How does this role fit into the company's overall sales and marketing strategy?
• What are the key priorities for this role in the first 30, 60, and 90 days?
• How does the company support the professional development and growth of its employees?
• What are the biggest challenges facing the company in the next 12-24 months, and how does this role contribute to addressing them?

ASSUMPTION: The key questions to ask during the interview will depend on the individual's priorities, the company's needs, and the specific aspects of the role that the candidate wants to understand better.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through this link
• Tailor your resume and cover letter to highlight your relevant experience and skills
• Prepare for the interview by researching the company and its mission, and practicing your data research and validation techniques
• Follow up with the hiring manager after the interview to express your interest in the role and ask any remaining questions

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.