SaaS Sales Ops Specialist & Analytics

SHOPLINE; Hong Kong; On-site; HKD 550,000 - 750,000; Full time

Job summary

SHOPLINE in Hong Kong seeks an experienced Sales Operations professional to act as the operational backbone for cross-functional teams. You will manage sales performance data, ensure process compliance, and maintain CRM hygiene with a focus on Lead-to-Revenue in a SaaS context.

The role requires hands-on execution, independent work, and a background in finance or consulting. Strong data analysis, CRM expertise, and an interest in AI tools are essential for success.

Qualifications

• Bachelor's degree or equivalent in finance, consulting or analytics.
• 3+ years in Sales Ops, Revenue Ops or related analytics role in SaaS.
• Strong CRM administration and data visualization proficiency.
• Interest in AI analytics and automation for efficiency.
• Excellent communication and cross-functional teamwork.

Responsibilities

• Spearhead end-to-end data prep for commissions, performance tracking, and partner evaluation.
• Collaborate with senior management to manage budget, monitor execution and allocate resources.
• Support the design of sales incentive schemes, OKRs and ROI strategies.
• Maintain and optimize dashboards to track trends and team KPIs.
• Operate end-to-end Sales process (Lead-to-Revenue) as liaison across functions.
• Execute monthly Salesforce vs internal platform reconciliations and fix data issues.
• Update SOPs and provide hands-on support to resolve bottlenecks in daily sales.
• Administer Salesforce users, access control, and data accuracy.
• Create visual reports and materials for leadership presentations.

Skills

Sales Ops

Rev Ops

CRM Admin

Data Analysis

SaaS

Budget Mgmt

Cross-functional

Education

Bachelor's degree or equivalent

Tools

Salesforce

Excel

Power BI/Tableau

Job description

SHOPLINE in Hong Kong seeks an experienced Sales Operations professional to act as the operational backbone for cross-functional teams. You will manage sales performance data, ensure process compliance, and maintain CRM hygiene with a focus on Lead-to-Revenue in a SaaS context.

The role requires hands-on execution, independent work, and a background in finance or consulting. Strong data analysis, CRM expertise, and an interest in AI tools are essential for success.