Data Analyst
atGosoft (Thailand) Co., Ltd.
Position:
Data Analyst
we are seeking an experienced
Expert Data Analyst
with strong expertise in
data visualization, business intelligence architecture, and advanced analytics
. In this role, you will lead the development of enterprise-level dashboards and analytics solutions that enable data-driven decision-making across the organization.
You will collaborate closely with data engineers, data scientists, and business stakeholders to transform complex data into strategic insights that support innovation in retail and digital platforms.
Responsibilities
Data Visualization & BI Architecture
Lead the design and development of
enterprise-scale dashboards and analytics platforms
using tools such as QlikSense, Looker, Power BI, Tableau, or similar technologies
Establish
best practices and standards for data visualization, dashboard design, and reporting frameworks
Ensure dashboards deliver
clear, actionable insights for business leaders and operational teams
Advanced Data Analysis
Analyze
large-scale and complex datasets
to identify trends, patterns, and opportunities that support strategic decision-making
Apply
advanced analytical techniques
to support business optimization and performance monitoring
Provide
data-driven insights and recommendations
to support product, operational, and strategic initiatives
Data Management & Data Modeling
Design and maintain
data models, semantic layers, and reporting frameworks
for enterprise BI solutions
Collaborate with Data Engineers to ensure
high-quality, reliable, and scalable data pipelines
Define
data governance and data quality standards
for reporting and analytics
Stakeholder Collaboration
Partner with business units and product teams to
understand requirements and translate them into scalable analytics solutions
Present insights and analytical findings to
both technical teams and senior business stakeholders
Provide guidance and mentorship to
junior analysts and BI developers
Continuous Improvement
Identify opportunities to
improve analytics capabilities, reporting automation, and decision-support systems
Stay up to date with emerging trends in
data analytics, BI platforms, and data visualization technologies
Qualifications
Required
Bachelors or Masters degree in
Data Science, Computer Science, Statistics, Mathematics, or related fields
6–8+ years of experience
in data analysis, business intelligence, or analytics roles
Strong expertise in
BI and data visualization platforms
such as QlikSense, Looker, Power BI, or Tableau
Advanced
SQL skills
for complex data extraction, transformation, and analysis
Strong understanding of
data modeling, dimensional modeling, and data warehousing concepts
Experience working with
large datasets and enterprise analytics environments
Strong analytical thinking and
problem-solving capabilities
Excellent communication skills with the ability to
translate data insights into business recommendations
Preferred
Experience working with
cloud-based data platforms
(AWS, Azure, or GCP)
Familiarity with
big data technologies
such as Spark, Databricks, or Hadoop
Experience supporting
retail, e-commerce, or digital platform analytics
Knowledge of
Python or R for advanced data analysis
Experience implementing
data governance and BI strategy
Skills required
- Analytical Thinking
- Data Analysis
- Architecture
- Automation
- Big Data
- Power BI
- Tableau
- Python
- Hadoop
- SQL
Experience required
- 3 years
Salary
- Negotiable
Job function
- Analyst
Job type
- Full-time
Company overview
Gosoft (Thailand) Co., Ltd. “ Taking Care of Your Business ” Gosoft (Thailand) Co., Ltd. is a company under the umbrella of CP ALL Public Company Limited. The company was founded on January 1, 2003 by a leading IT Organization with diverse experience within the software industry . As a result, g ... Read more
Why join us: Our software engineering processes are performed in line with the requirements of ITIL, CMMi (Capability Maturity Model integration), and ISO/IEC 27001:2013, an international standard aimed at maturing people, process and technology assets to improve long-term business performance, as set forth by t ... Read more
Benefits
- Provident fund
- Professional development
- Flexible working hours
- Five-day work week
- Life Insurance
- Social Security
- Accident Insurance
- Health Insurance
- Job training
- Performance bonus
- Annual bonus
- Learning & Development Opportunities
