Data Researcher- Entry Level Position
We are searching for a highly motivated and detail-oriented Data Researcher to join our team. This role will be responsible for gathering, scrapping, analyzing, and interpreting large datasets to support various business initiatives.
You will play a key role in identifying and sourcing leads on LinkedIn & Upwork (Data Scrapping) and utilizing data analysis to gain insights into international markets.
Responsibilities:
- Conduct research on potential LinkedIn & Upwork’s clients and projects using various tools (Phone numbers, Email address, social media contact scrappers).
- Utilize data scraping techniques (LinkedIn, LinkedIn Sales Navigator, Apollo.io, Crunchbase and others) to gather relevant information on leads.
- Extract contact information (phone numbers, emails, social media) from LinkedIn profiles using specialized tools.
- Analyze data to identify trends, opportunities, and key insights related to LinkedIn and Upwork projects and international business ventures (market size analysis).
- Generate comprehensive reports and presentations to effectively communicate findings to stakeholders.
- Maintain a well-organized and efficient data management system.
- Stay up to date on industry trends and best practices in data analytics.
- Collaborate effectively with cross-functional teams.
Additional Requirements:
- Proven knowledge & experience in identifying and sourcing leads on LinkedIn & Upwork for specific client needs.
- Basic knowledge of Sales Cycles.
- Knowledge of data scraping tools like LinkedIn Sales Navigator, Apollo.io, and others.
- Strong written and verbal communication skills in English, including the ability to prepare clear and concise reports and presentations.
- A plus is hands-on experience with CRM tools like HubSpot or Salesforce (Sales CRM).
- A basic grasp of embedded engineering principles would be beneficial.
- Experience or knowledge of international business, particularly market size analysis, is a plus.
- Well-disciplined, understands and adheres to professional etiquette, and strives to consistently exceed expectations.
Benefits:
- Competitive salary and benefits package
- Opportunity to work on challenging and impactful projects
- Dynamic and collaborative work environment
- Growth opportunities and professional development
Experience:
- We are looking for a recent graduate or someone with limited experience in data analysis or research who is eager to learn.
Shubham Vishwakarma
Full Stack Developer - Averlon
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