Analytics Engineer, Singapore

PURE STORAGE SINGAPORE PTE. LIMITED; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A leading technology company is seeking an Analytics Engineer to enhance operational workflows through data automation and insightful dashboard creation. This role involves collaborating with cross-functional teams to provide actionable insights that drive revenue and streamline processes. Ideal candidates will possess strong analytical and problem-solving skills, along with proficiency in tools like Snowflake and Python.

Qualifications

• Analytical mindset with strong problem-solving skills.
• Proficient in data analysis, automation, and visualization tools.
• Collaborative team player with passion for improving efficiency.

Responsibilities

• Build dashboards for global audiences to surface insights.
• Develop automations to streamline internal operations.
• Analyze data integrity issues and improve workflows.

Skills

Data analysis

Automation

Visualization tools

Problem-solving

Tools

Snowflake

SQL

Python

Job description

About the Role

We're looking for a Analytics Engineer to join the WWSE Growth & Excellence team. In this global role, you’ll streamline operational workflows through data automation and intelligent process design. You’ll work closely with cross-functional stakeholders across Sales, Operations, and Data Engineering to drive better visibility into how technical product experiences contribute to pipeline movement and revenue generation.

What You’ll Do

• Build dashboards for global audiences (powered by Snowflake) to surface insights for Quarterly Business Reviews (QBRs) and Sales Briefings (QSRs).
• Visualize key metrics such as usage trends, engagement levels, and conversion rates.
• Maintain and scale the Customer Win Dashboard
• Integrate a consultative selling value library into Pure Realize and SFDC.
• Analyze the impact of Test Drive activities on opportunity outcomes, including correlation with closed-won deals.
• Identify and resolve data integrity issues between Test Drive systems and Salesforce, ensuring accurate mapping of activities to opportunities.
• Develop solutions to reconcile opportunity misalignment scenarios between SFDC and Test Drive (e.g., closed and reopened deals).
• Automate the manual voucher generation process for Test Drives, reducing time and error-prone tasks.

Key Responsibilities

• Develop Python or API-based automations to streamline internal operations
• Connect and clean data from disparate sources (Snowflake, Salesforce, Test Drive)
• Build dashboards to support QBRs and executive briefings with actionable insights
• Solve misalignment between Test Drive activity and opportunity attribution in Salesforce
• Support data governance and accuracy across analytics workflows

What We’re Looking For

• Analytically minded with strong problem-solving skills.
• Proficient in data analysis, automation, and visualization tools (e.g., Snowflake, SQL, Python, BI
• tools).
• Detail-oriented and process-driven, with a passion for improving efficiency and accuracy.
• Collaborative team player who can work across functions to drive results.
• Experience with Salesforce and sales operations workflows is a plus.