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Remote Data Analytics Sales Consultant - IT Services (GA)

Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 
Gabon, Georgia (USA), United States

Offer summary

Qualifications:

Minimum of 5 years in consultative sales, Experience with Data Analytics or IT solutions, Bachelor’s degree in Business, IT, or related field, Proven success in cultivating client relationships, Background in global, cross-functional teamwork.

Key responsabilities:

  • Establish relationships with senior stakeholders
  • Manage comprehensive business plans and pipeline
  • Lead sales cycle and expand business opportunities
  • Collaborate with sales leadership and teams
  • Develop case studies and represent company at events
ScaleneWorks INC logo
ScaleneWorks INC https://www.scaleneworks.com/
11 - 50 Employees
See more ScaleneWorks INC offers

Job description

Job Overview

We are in search of dynamic professionals with a leadership mindset in Data Analytics and IT Services sales. This remote position demands strong consultative sales expertise, particularly in the realm of data analytics, to cultivate and maintain senior-level relationships across various stakeholder groups.

Key Responsibilities

  • Establish and nurture relationships with senior stakeholders within the sales function, including Sales Directors, Modern Trade Heads, and Channel Directors.
  • Demonstrate a solid understanding of IT services and a proven track record in selling these solutions.
  • Own and manage the comprehensive business plan, encompassing financial targets, proposal submissions, and revenue pipeline.
  • Lead the entire sales cycle, including expanding business with existing clients and identifying new sales opportunities that align with client strategic priorities.
  • Collaborate effectively with sales leadership and cross-functional teams to ensure alignment on leads and opportunities.
  • Develop compelling case studies and client testimonials, while representing the company at industry events and client gatherings.
  • Drive accountability within the team towards achieving sales targets and managing a robust pipeline.
  • Engage in negotiations with senior clients to effectively communicate the value of our offerings.
  • Take responsibility for comprehensive business planning and execution.

Required Skills

  • Exceptional consultative selling abilities within Data Analytics.
  • Strong problem-solving aptitude and analytical mindset.
  • Excellent communication and presentation skills for client-facing interactions.
  • Proven capability in developing case studies and engaging audiences at external forums.
  • High proficiency in collaboration and networking.
  • Experience and comfort in negotiating with senior decision-makers.
  • Familiarity with technology stacks such as MicrosoftGo, PowerBI, AWS, Snowflake, and GCP.

Qualifications

  • Minimum of 5 years of experience in consultative sales within Data Analytics or IT solutions.
  • Demonstrated success in cultivating client relationships and driving sales outcomes.
  • A background that includes working with global, cross-functional teams.
  • Bachelor’s degree in Business, IT, Data Analytics, or a related field.

Career Growth Opportunities

This role offers significant potential for professional growth through engagement in high-level discussions, networking opportunities, and the ability to present at industry events, enhancing your visibility within the field.

Company Culture And Values

Our organization is rooted in a collaborative and innovative work environment that prioritizes accountability, trust, and open communication. We are committed to fostering diversity and creating an inclusive atmosphere for all team members.

Employment Type: Full-Time

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Negotiation
  • Verbal Communication Skills
  • Collaboration
  • Problem Solving
  • Relationship Management
  • Analytical Thinking

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