Data Sales Consultant

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This range is provided by House Recruiting. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

• Commission: c£12k in your first year
• Monday to Friday
• Hybrid (3 days in Office)

A really exciting position for a friendly and energetic person to join an established, successful Data company. If you have prior experience in a similar Data Sales role - this could be perfect for you!

About the client

We're dedicated to forging connections within the eCommerce industry through vital market data and insights. Our mission is to arm our members with cutting-edge industry knowledge, best practices, and exceptional opportunities for networking and building meaningful relationships.

The Role

We are looking for a talented and driven Data Sales Consultant to join our dynamic team and play a key role in growing membership and sponsorship revenues within the eCommerce sector. This is an exciting opportunity to make a real impact, take on increasing responsibility, and develop your career in a fast-growing industry.

As Data Sales Consultant, you’ll generate new business, nurture client relationships, and help shape sales strategies in collaboration with marketing. If you are motivated, target-driven, and excited to work at the heart of the eCommerce industry, we want to hear from you.

Key Responsibilities:

• Drive new membership and sponsorship revenue through phone, email, LinkedIn, and in-person sales channels.
• Lead LinkedIn Navigator outreach efforts, crafting tailored messages and utilizing tools like Dripify.
• Collaborate with marketing to research and compile lead lists using tools like Cognism and Apollo.
• Convert inbound enquiries into sales and proactively pursue outbound opportunities.
• Maintain and update the Salesforce CRM with accurate sales pipelines and activity tracking.
• Build and develop contact databases through research, outreach, and networking.
• Represent the company at industry events, networking to build meaningful client connections.
• Contribute to the planning and execution of sales and marketing strategies.

About You

You are a persuasive and enthusiastic professional with a strong interest in the eCommerce sector. With a keen eye for commercial opportunities and a drive to exceed targets, you’ll thrive in this outreach-driven role.

What You’ll Bring:

• A genuine passion for sales and a desire to build a career in the dynamic eCommerce industry.
• Excellent communication skills, with the ability to craft compelling messages and connect with clients.
• Experience using social media and lead generation tools (e.g., LinkedIn, Apollo, Dripify) to identify and engage prospects.
• Strong organisational skills, with proficiency in CRM systems (Salesforce experience is a plus).
• A commercial mindset and an entrepreneurial approach to finding new opportunities.
• Confidence in both phone and face-to-face interactions, with excellent interpersonal skills.
• A strong interest in eCommerce data, analysis, and insights.

What We Offer:

• The opportunity to sharpen your sales and commercial skills.
• Autonomy and responsibility to make an immediate impact and grow your role.
• A supportive environment to build a lasting career in the fast-paced eCommerce sector.
• A competitive remuneration package, including performance-related bonuses.
• A friendly, flexible, and fun workplace.

Experience:

We’re seeking a self-starter eager to join a dynamic team. While sales experience (especially in a relevant sector) is desirable, your ability to demonstrate initiative, drive, and proven success in meeting targets is key. Experience with lead generation platforms and tools will be highly valued.

We read through each application thoroughly and reply quickly to those we feel could be a good fit for the role.

Good luck!!

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Marketing, Sales, and Analyst

• Industries

  Book and Periodical Publishing, Climate Data and Analytics, and Data Infrastructure and Analytics

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