Data Analyst

Avepoint; Kuala Lumpur; On-site; MYR 60,000 - 80,000; Full time

Job summary

A global leader in data solutions is seeking an experienced Data Analyst in Kuala Lumpur. The ideal candidate will design and maintain scalable data pipelines, utilize Python and AWS technologies, and create insightful visualizations. We are looking for someone with a degree in a quantitative field and at least 3 years of experience in similar roles. If you want to grow your career in a dynamic environment, we invite you to apply.

Qualifications

• 3+ years of experience in a Data Analyst, BI Analyst, or similar role.
• Hands-on experience with cloud data platforms on AWS.
• Proven experience with Python for data analysis.

Responsibilities

• Design, develop, and maintain scalable data pipelines.
• Use Python (Pandas, NumPy) for data transformation and automation.
• Create interactive dashboards and reports for stakeholders.

Skills

Python

SQL

Data visualization tools (e.g., Power BI)

Data warehousing

ETL/ELT best practices

Education

Bachelor's degree in Computer Science, Statistics or related

Tools

AWS (Glue, S3, Redshift)

Pandas

NumPy

Power BI

Job description

Beyond Secure.

AvePoint is the global leader in data security, governance, and resilience, going beyond traditional solutions to ensure a robust data foundation and enable organizations everywhere to collaborate with confidence. Over 25,000 customers worldwide rely on the AvePoint Confidence Platform to prepare, secure, and optimize their critical data across Microsoft, Google, Salesforce, and other collaboration environments. AvePoint’s global channel partner program includes approximately 5,000 managed service providers, value-added resellers, and systems integrators, with our solutions available in more than 100 cloud marketplaces.

To learn more, visit www.avepoint.com.

Overview

We are seeking a data-literate and technically strong Data Analyst to join our team. You will be instrumental in building our analytics infrastructure and unlocking deep insights from data. A key aspect of this role involves using Python to automate processes, perform advanced analytics, and enhance our data capabilities beyond traditional SQL and BI tools.

Experience & Skills Required

Key Responsibilities:

• End-to-End Data Pipeline Management: Design, develop, and maintain robust, scalable data pipelines from various sources into our data warehouse.
• Advanced Data Processing & Automation: Use Python (Pandas, NumPy) to build and automate complex data transformation and feature engineering tasks, complementing our core ETL frameworks.
• Data Warehousing & Modelling: Manage and optimize the data warehouse environment, including designing and implementing efficient data models for business intelligence.
• Analytics & Insight Generation: Develop scripts and analytical models in Python for statistical analysis, trend forecasting, and uncovering deeper business insights.
• Visualization & Reporting: Create and maintain interactive dashboards and reports to communicate findings effectively to stakeholders.
• Collaboration: Partner with business units to translate their needs into technical solutions and data-driven recommendations.

Requirements:

• Bachelor’s degree in Computer Science, Statistics, Engineering, or a related quantitative field.
• 3+ years of professional experience in a Data Analyst, BI Analyst, or similar role.
• Strong proficiency in SQL for complex data querying and manipulation.
• Proven experience with Python for data analysis, including using libraries such as Pandas, NumPy, and Requests for data manipulation, analysis, and API interactions.
• Hands-on experience with cloud data platforms on AWS (e.g., Glue, S3, Redshift).
• Expertise in at least one major data visualization tool: Power BI, Tableau, or Qlik.
• Solid understanding of data modelling and ETL/ELT best practices.

Preferred Qualifications:

• Experience in using Python for ETL/ELT automation (e.g., within AWS Glue Jobs, Lambda functions) is a significant advantage.
• Familiarity with SQL Server Integration Services (SSIS).
• Knowledge of other AWS services (e.g., IAM, CloudWatch).
• Exposure to machine learning libraries is a plus.
• Proven ability to manage multiple projects in a fast-paced environment.

If you are looking for an opportunity to grow your career while working on meaningful projects, we would love to hear from you!

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