Sales Client Executive

JCO ANALYTICS PTE. LTD.; Singapore; On-site; SGD 50,000 - 80,000; Full time

Job summary

A data analytics solutions provider in Singapore is looking for a Data & Analytics Sales Client Executive to drive revenue for their portfolio. You’ll manage pipeline development, oversee complex bids, and cultivate relationships within accounts. Ideal candidates will have 1-5 years of B2B technology sales experience, strong communication skills, and a background in data and analytics. This role offers competitive compensation and a full-time position.

Qualifications

• 1–5 years in B2B technology with a Systems Integrator or consultancy.
• Experience with data/analytics, BI, AI/ML, or data governance projects.
• Strong command of data platforms and analytics.

Responsibilities

• Build and manage a healthy pipeline via outbound, partner co-sell.
• Orchestrate discovery and solution mapping across stakeholders.
• Grow footprints with multi-year managed services and renewals.
• Co-sell with hyperscalers and ensure smooth project handovers.

Skills

B2B technology sales experience

Experience with data/analytics

Strong communication skills

Opportunity qualification (MEDDICC/BANT)

Value-based selling

Education

Diploma or Bachelor’s degree in Business or related field

Tools

Salesforce

HubSpot

Job description

Overview

Job Description: Data & Analytics Sales Client Executive (Systems Integrator)

Location: Singapore
Employment Type: Full-time
Reports to: Head of Sales
Target Markets: Enterprise & Public Sector (Singapore focus)

Role Summary

We’re looking for a go-getter seller to drive new and expansion revenue for our Data & Analytics portfolio. You’ll open doors, shape opportunities, run the bid process end-to-end, and work tightly with solution architects and delivery to land high-value projects and managed services across data platforms, governance, BI/AI, and cloud modernization.

What You’ll Sell

• Solutions: Data Platform Services (lakehouse, integration/ETL, virtualization, platform ops), Data Security & Governance (privacy, MDM, compliance), Business Analytics (dashboards, AI/ML, agentic AI), Cloud Modernization (migration, optimization, managed services), and BPA/Chatbots.
• Ecosystem: Microsoft (Fabric, Power BI, Azure), AWS, IBM (Cognos, watsonx), Snowflake, Elastic, Grafana, InfluxDB, BigID, Huawei Cloud, etc.
• Engagements: Professional services, managed services (MS), software resale/subscriptions, and support.

Key Responsibilities

• Pipeline & Hunting Build and manage a healthy pipeline via outbound, partner co-sell, events, and referrals.
• Deal Leadership Orchestrate discovery, value hypothesis, solution mapping, and executive alignment across multiple stakeholders (IT, Data/Analytics, Risk, Business). Lead bid responses (RFI/RFP/tenders), pricing/terms, and internal approvals; own strategy to win with clear competitive positioning.
• Account Management Land-and-expand: grow footprints with multi-year MS/AMS, renewals, and cross-sell into adjacent use cases. Maintain accurate forecasts, stage hygiene, and notes in CRM (Salesforce/HubSpot).
• Partner & Internal Orchestration Co-sell with hyperscalers and ISVs; drive marketplace/private offers where relevant. Work with solution architects, project managers, and delivery to ensure smooth handover, SOW quality, and measurable outcomes.

Required Qualifications

• 1–5 years in B2B technology with a Systems Integrator, consultancy, or data platform vendor.
• Proven working experience dealing with data/analytics, BI, AI/ML, or data governance projects and managed services to Singapore based customers.
• Strong command of at least two areas: (a) data platforms/lakehouse, (b) analytics/BI & data storytelling, (c) data governance/privacy, (d) cloud migration & FinOps.
• Excellent written skills for proposals/SOWs and spoken communication for executive presentations.
• CRM discipline, opportunity qualification (MEDDICC/BANT), and value-based selling.

Education

• Diploma or Bachelor’s degree in Business, Information Systems, Engineering, or related field (or equivalent experience).