Data Analyst (Mid-Senior level)

About the role

You will design and develop high-impact dashboards and reports, leveraging tools such as Power BI, Tableau, or similar platforms to deliver clear, actionable business intelligence. You will translate complex business requirements into scalable reporting and analytics solutions that drive informed decision-making across the organization. You will partner closely with business stakeholders, product teams, and data engineers to clarify objectives, validate assumptions, and ensure analytical outputs align with strategic goals. You will apply rigorous analytical methods to dissect intricate datasets, uncovering trends, diagnosing issues, and generating insights that support commercial and operational initiatives. You will take ownership of the entire data lifecycle, from data acquisition and transformation to visualization deployment and ongoing optimization of analytics workflows. You will document methodologies, definitions, and logic meticulously to ensure transparency, reproducibility, and ease of use for downstream teams and business users. You will actively contribute to a culture of data-driven decision-making by communicating findings effectively and supporting stakeholders in interpreting results for real-world application. You will stay current with industry best practices and emerging visualization techniques to continuously enhance the quality, usability, and impact of your work.

Key facts

What you'll do

Analyze complex business problems and define the appropriate data sets and metrics needed to address them through robust analytical models.

Build and maintain automated, scalable data models and dashboards that provide timely, accurate, and easily interpretable insights for diverse audiences.

Collaborate with data engineers to refine data pipelines, improve data quality, and ensure that analytics environments are efficient, reliable, and secure.

Partner with product managers and business leaders to translate strategic objectives into measurable targets and track performance against key initiatives.

Develop ad hoc analyses and deep dives that support rapid experimentation, hypothesis testing, and evidence-based decision-making.

Establish and maintain a catalog of core business metrics and definitions to ensure consistency, clarity, and alignment across all reporting outputs.

Optimize existing reports and dashboards for performance, usability, and scalability, ensuring they meet evolving user needs and technical standards.

Communicate analytical findings and recommendations clearly and persuasively to both technical and non-technical stakeholders through presentations and documentation.

Participate in knowledge-sharing activities such as internal talks, documentation contributions, and peer reviews to elevate the overall capability of the analytics team.

Support the exploration of new tools, frameworks, and methodologies that can enhance the efficiency, accuracy, or impact of analytics and business intelligence practices.

Champion data governance principles, including data privacy, security, and compliance, in all analytical deliverables and processes.

Continuously monitor the effectiveness of analytics solutions, gathering feedback from users and iterating on improvements to maximize business value.

Contribute to the development of internal tools, templates, and frameworks that streamline analytics workflows and improve team productivity.

Act as a subject matter expert on analytics best practices within the organization, mentoring junior analysts and fostering a culture of analytical rigor.

Requirements

Must be a Thai citizen, as this role requires adherence to specific national regulatory and compliance considerations for data handling.

Possess a strong academic background in a quantitative field such as statistics, mathematics, economics, computer science, engineering, or a related discipline.

Demonstrate proficiency in at least one modern programming language commonly used for data analysis, such as Python or R, including experience with data manipulation and analysis libraries.

Bring hands-on experience with business intelligence and visualization tools such as Power BI, Tableau, or equivalent platforms for building interactive dashboards.

Show a solid understanding of data warehousing concepts, database fundamentals, and SQL querying to effectively access, transform, and analyze structured data.

Exhibit strong problem-solving abilities and a structured approach to analytical thinking, with the capacity to break down complex issues into manageable components.

Communicate clearly and effectively in both written and spoken English and Thai, ensuring accurate translation of technical concepts and results to diverse audiences.

Display a high level of ownership, discipline, and reliability, with the ability to manage multiple priorities in a fast-paced, dynamic work environment.

Demonstrate a collaborative mindset, working constructively with cross-functional teams and embracing feedback to achieve shared objectives.

Maintain strict attention to detail and accuracy in analytical work, with a commitment to validating data sources, methods, and results.

Show a willingness to learn and adapt to new technologies, tools, and processes, staying aligned with industry advancements in data and analytics.

Possess strong ethical judgment and a firm commitment to data privacy, confidentiality, and regulatory compliance in all professional activities.