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Data Solutions Consultant (Sales)

InfoConnect Sdn Bhd

Selangor

On-site

MYR 100,000 - 150,000

Full time

3 days ago
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Job summary

A leading data solutions firm in Malaysia is seeking a Data Solutions Consultant to be part of the client outreach team. In this role, you will analyze business challenges, design tailored data solutions, and support sales efforts. The ideal candidate should possess a Bachelor’s degree in IT, 4-7 years of relevant experience, and strong skills in data analytics and client relationship management. Join us in transforming data into actionable insights.

Qualifications

  • 4-7 years of experience in consulting or a customer-facing data solutions role.
  • Strong knowledge of data analytics and cloud data platforms.
  • Proven ability to deliver persuasive product demonstrations.

Responsibilities

  • Analyze customer requirements and design customized data solutions.
  • Build and nurture long-term relationships with clients.
  • Collaborate to create compelling proof of concepts.

Skills

Data analytics
Cloud data platforms
Data architecture
Data governance
Integration
BI tools
Client relationship management
Communication

Education

Bachelor’s degree in IT or a data-related field
Certification in DAMA (Data Management) or Data Science
Job description

As a Data Solutions Consultant, you will be a vital member of the client outreach team, providing data consulting and advisory and supporting sales and pre‑sales activities. You will work closely with potential clients to analyze their business challenges, architect innovative data solutions, and support the implementation of our offerings. You will also collaborate with internal teams to develop compelling demonstrations, proofs of concept, and solutions tailored to client needs.

Responsibilities
  • Understand Company Offerings: Learn, understand, and effectively present our data engineering and analytics solutions to potential and existing clients.
  • Sales Involvement: Perform sales activities and contribute to company sales targets.
  • Tailor Solutions: Analyze customer requirements, design customized data solutions and scope comprehensive services that address their specific business needs.
  • Use Case Discovery: Lead business use case discovery by working closely with business users at all levels.
  • Solution Development: Collaborate with the internal delivery team to create and demonstrate compelling proof of concepts (POCs) and solution designs in response to RFPs or client requests.
  • Client Relationship Management: Build and nurture long‑term relationships with clients, ensuring a seamless transition from sales to delivery.
  • Consulting & Advisory: Serve as a trusted advisor, helping clients navigate digital transformations and data‑driven decision‑making processes to solve complex business problems.
  • Stay Updated: Keep abreast of industry trends and the latest technologies in data and AI to maintain competitive advantages.
  • Perform any other duties and responsibility as and when assigned by Management.
Qualifications / Experiences / Skill Requirements
  • Educational Background: Bachelor’s degree in IT or a data‑related field. Certification in DAMA (Data Management) or Data Science is a big advantage.
  • Experience: 4-7 years of experience in consulting or a customer‑facing data solutions role, preferably with enterprise clients in the financial services or insurance industry.
  • Technical Expertise: Strong knowledge of data analytics, cloud data platforms, data architecture, data governance and integration. Experience with data lakes, data warehouses, and BI tools is essential.
  • Client‑Facing Experience: Proven ability to deliver persuasive and articulate product demonstrations, POCs, and solutions to executive stakeholders.
  • Collaboration Skills: Team player with strong networking attributes, proactive, results focused, and a self‑starter with the ability to execute.
  • Communication Skills: Exceptional written and verbal communication skills with the ability to deliver convincing presentations to both technical and non‑technical audiences.
  • Problem Solving: Strong analytical mindset with experience in addressing complex business challenges through data‑driven solutions.
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