Sales Operations Intern - CRM & Lead Research

About the role

Springer Capital is looking for a Sales Operations intern to support its CRM and lead research work. The role covers maintaining contact and company records, researching prospects and decision-makers, and keeping data accurate and up to date.

Key responsibilities

• Create, update and maintain contact and company records in the CRM, adding notes, activities, ownership, tags and other details while monitoring data quality.
• Research prospective companies, including website, location, industry, assets under management, company size and key business information, and verify them before entering them into the CRM.
• Identify and verify decision-makers and stakeholders, including contact names, job titles, email addresses and LinkedIn profiles.
• Review CRM records for completeness, accuracy and consistency, and run quality checks on data collected by research or AI-assisted processes.
• Identify and merge duplicate company and contact records to keep the database clean.
• Support CRM operations such as data imports and exports, filtering and segmentation, mass updates, reporting and data organization projects.
• Learn the organization's Ideal Customer Profiles and help qualify leads and enrich the database.
• Follow documented CRM and sales operations procedures, escalate issues to the CRM team, business operations or managers, and protect confidential data.

Required profile

• Currently pursuing or recently completed a degree in Business, Marketing, Sales, Information Systems, Data Analytics or a related field.
• Strong attention to detail, organizational skills and excellent internet research and analytical abilities.
• Excellent written communication skills and ability to follow processes and maintain data accuracy.

Required skills

• Proficiency in Microsoft Excel or Google Sheets.
• Preferred: familiarity with CRM platforms such as Salesforce, HubSpot or Zoho CRM.
• Preferred: understanding of B2B sales, lead generation or business development processes, experience with LinkedIn research, and knowledge of data validation and quality assurance.