Indonesia Job Openings

PT Quad Sinergi Teknologi

Data Analytics Technical Sales

Jakarta

FULL TIME & CONTRACT

November 18, 2024

Position Overview:
The Data Analytics Technical Sales role is a hybrid position requiring strong technical knowledge of data analytics solutions combined with exceptional sales and communication skills. You will collaborate closely with the sales team to identify customer needs, present tailored data analytics solutions, and drive revenue growth. This role requires a proactive individual capable of bridging technical solutions and business outcomes.
Responsibilities:
1. Sales Support:
  • Partner with sales teams to identify potential clients and analyze their data-related business challenges.
  • Assist in developing sales strategies and technical approaches to secure new business opportunities.
2. Solution Presentation:
  • Conduct compelling technical presentations, live product demonstrations, and proof-of-concept (Po C) engagements.
  • Translate complex technical concepts into easy-to-understand business benefits.
3. Consultative Selling:
  • Act as a trusted advisor to clients by understanding their business goals and challenges and aligning them with appropriate data analytics solutions.
  • Provide recommendations on best practices for data integration, visualization, and analytics.
4. Proposal and Documentation:
  • Prepare and deliver technical proposals, including detailed solution designs, ROI analysis, and implementation plans.
  • Collaborate with internal teams to ensure accurate and timely submission of RFPs and RFIs.
5. Collaboration and Stakeholder Management:
  • Work with internal engineering and product development teams to ensure proposed solutions align with client needs.
  • Maintain strong relationships with existing clients to identify upsell and cross-sell opportunities.
6. Market Awareness and Continuous Learning:
  • Stay updated on industry trends, competitor activities, and emerging data analytics technologies.
  • Provide feedback to product teams for enhancements based on client input.
Job Qualifications:
Education:
  • Bachelor’s degree in Data Science, Computer Science, Information Systems, Business Analytics, or a related field.
Experience:
  • 3-5 years of experience in technical sales, presales, or a similar role within the data analytics or business intelligence domain.
  • Proven track record of meeting or exceeding sales targets in a technical sales capacity.
  • Experience working with analytics platforms like Tableau, Power BI, Qlik View, or Looker.
  • Familiarity with cloud data platforms such as AWS, Azure, or Google Cloud is a plus.
Technical Skills:
  • Strong knowledge of data analytics, visualization tools, and business intelligence concepts.
  • Proficiency in SQL and experience with data management tools.
  • Basic programming knowledge (Python, R, or similar) is preferred.
Sales Skills:
  • Exceptional communication, negotiation, and relationship-building skills.
  • Ability to craft and deliver persuasive presentations to technical and non-technical audiences.
  • Strong consultative sales approach and a client-first attitude.
Soft Skills:
  • Highly analytical and solutions-driven mindset.
  • Ability to work collaboratively in a team environment and manage multiple priorities.
  • Excellent problem-solving and organizational skills.
Certifications (Preferred):
  • Relevant certifications, such as Microsoft Certified: Data Analyst Associate, Tableau Desktop Specialist, or AWS Certified Data Analytics.
Additional Requirements:
  • Strong organizational skills and attention to detail.
  • Ability to travel as needed for client meetings and industry events.
  • Self-motivated, results-oriented, and capable of working independently in a fast-paced environment.
Benefits:
  • Competitive salary and commission structure.
  • Health and wellness benefits.
  • Opportunities for professional growth and development.
  • Collaborative and supportive team environment.
Job Types: Full-time, Trial period contract
Contract length: 12 months

Application Deadline: 12/20/2024
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