Operations Data Analyst

Vuly Trampolines Pty; Kuala Lumpur; On-site; MYR 60,000 - 90,000; Full time

Job summary

Vuly Trampolines Pty seeks an Operations Data Analyst to serve as the central data hub for internal data requests. You will master the company''s reports, fulfill ad-hoc requests with speed, and convert raw exports into clean, actionable insights.

Working with Operations and Accounts, you will develop standardized templates and streamline reporting workflows to save time across the business. The role requires 2–4 years in related BI/Analytics functions, strong Excel/Sheets skills, and experience

Qualifications

• 2–4 years of experience in an Operations Analyst, Data Analyst, or Business Intelligence role.
• Advanced proficiency in Microsoft Excel / Google Sheets (Pivot Tables, complex formulas, lookup functions).
• Direct experience with BI tools (Power BI, Tableau, Looker) and ERP/CRM systems.
• Ability to understand operational workflows alongside basic financial metrics (costs, margins, volumes).
• Exceptional ability to translate numbers into narrative summaries and visuals for non-technical stakeholders.
• Bias for action in fast-paced environments with quick turnarounds without compromising accuracy.
• Patient, proactive service orientation when helping internal teams solve data problems.
• Analytical curiosity: question what data means for recipients and how to save time interpreting it.
• High attention to detail: ensure figures tie out across templates and exports.

Responsibilities

• Act as central point of contact for internal departments seeking operational, financial, and performance data.
• Triage, export, and fulfill ad-hoc data requests within tight timelines.
• Clean, reformat, and validate raw data exports for immediate usability.
• Overlay operational context onto raw data to highlight trends and takeaways.
• Develop end-to-end understanding of the company''s reports, dashboards, and databases.
• Advise staff on the best reports/datasets to answer their business questions.
• Assist colleagues in navigating self-service tools and reporting features.
• Collaborate with Operations and Accounts to understand workflows and pain points.
• Design, deploy, and maintain standardized data templates and recurring reporting formats.
• Continuously optimize request patterns toward automated self-serve templates.

Skills

Analytical thinking

Communication

Attention to detail

Bias for action

Service orientation

Analytical curiosity

Data storytelling

Cross-functional collaboration

Tools

Power BI

Tableau

Looker

Excel

ERP/CRM systems

Job description

We create premium play experiences that get families outside and spark imagination. We are expanding into new regions and launching bold products.

Role Overview

The Operations Data Analyst serves as the central data hub and primary point of contact for data requests across the company. Reporting directly to the Operational Systems Lead, this role is responsible for:

mastering our full suite of internal reports

fulfilling inbound data requests with speed and precision

converting raw exports into clean, pre-mined, and actionable insights.

By working closely with the Operations and Accounts teams, you will build standardized data templates, streamline reporting workflows, and ensure teams across the business get the exact intelligence they need without wasting valuable time.

Key Responsibilities

Central Point of Contact: Act as the primary interface for all internal departments seeking operational, financial, and performance data.

Rapid SLA Execution: Triage, export, and fulfill ad-hoc data requests promptly within strict, short-turnaround windows.

Data Treatment & Hygiene: Clean, reformat, and validate raw data exports to guarantee immediate usability and high data accuracy.

Value-Add "Pre-Mining": Overlay operational context onto raw data - highlighting key trends, variances, and summary takeaways - so recipients receive ready-to-use intelligence rather than raw tables.

2. Report Suite Mastery & Advisory

System Expertise: Develop an end-to-end understanding of the company’s entire suite of existing reports, dashboards, and underlying databases.

Guided Selection: Advise staff on which specific reports or datasets best serve their business questions, preventing duplicate efforts and ensuring data consistency across teams.

User Support: Assist colleagues in navigating existing self-service tools and reporting features.

3. Cross-Functional Collaboration & Template Engineering

Operations & Accounts Alignment: Partner closely with the Accounts and Operations teams to understand their routine workflows, financial metrics, and reporting pain points.

Template Development: Design, deploy, and maintain standardized data templates, models, and recurring reporting formats to minimize manual effort business-wide.

Process Optimization: Continuously evaluate request patterns to turn high-frequency ad-hoc requests into automated or standardized self-serve templates.

Required Qualifications & Technical Skills

Experience: 2–4 years of experience in an Operations Analyst, Data Analyst, or Business Intelligence role.

Data Manipulation Mastery: Advanced proficiency in Microsoft Excel / Google Sheets ( Pivot Tables, complex formulas, lookup functions)

BI & Systems Aptitude: Direct experience working with Business Intelligence tools (e.g., Power BI, Tableau, Looker) and operational ERP/CRM systems.

Operational & Financial Acumen: Ability to understand operational workflows alongside basic financial/accounting metrics (costs, margins, volumes, utilization).

Synthesis & Communication: Exceptional ability to translate raw numbers into clear narrative summaries and visual key takeaways for non-technical stakeholders.

Bias for Action: Thrives in a fast-paced environment and takes pride in fast turnaround times without compromising accuracy.

Service Orientation: Patient, approachable, and proactive when helping internal team members solve data problems.

Analytical Curiosity: Instinctively asks, "What does this data mean for the recipient, and how can I save them time interpreting it?"

High Attention to Detail: Meticulous approach to data auditing, ensuring figures tie out accurately across templates and system exports.