Business Data Analyst

Airswift; Kuala Lumpur; On-site; MYR 60,000 - 90,000; Full time

Job summary

A leading company in the data analytics field is seeking a Business Data Analyst to provide actionable insights that drive decision-making processes and improve operational efficiency. This role requires collaboration with cross-functional teams, development of data models, and communication of findings to management. Candidates should hold a Bachelor's degree and relevant certifications, with at least 5 years of experience in data analysis and business intelligence tools.

Qualifications

• Minimum of 5 years of experience in data analysis or business intelligence.
• Proficiency in data analysis tools and BI platforms essential.
• Strong technical background with hands-on experience.

Responsibilities

• Analyze and interpret complex data sets to support decision-making.
• Develop and maintain data models, dashboards, and reports.
• Ensure data accuracy and integrity through validation and quality checks.

Skills

Data Analysis

Statistical Tools

Business Intelligence

Data Visualization

Problem-Solving

Education

Bachelor's degree in data science, business analytics, or related field

Certifications such as CBAP, Microsoft Data Analyst Associate, CAP

Tools

SQL

Python

R

Excel

Power BI

Tableau

Qlik

Job description

Purpose

• As a Business Data Analyst, you analyze and interpret complex data to provide actionable insights that support business decision-making and strategy development. Work closely with stakeholders to identify data needs, create reports, and develop data models that drive business performance and optimize operational efficiency. Ensure data accuracy and contribute to the continuous improvement of data processes and tools.

Responsibilities

• Analyze and interpret complex data sets to provide actionable insights that support business decision-making and strategy development.
• Collaborate with cross-functional teams to identify business needs and data requirements, ensuring alignment with organizational goals and objectives.
• Develop and maintain data models, dashboards, and reports, providing clear and concise visualizations that communicate key findings to stakeholders.
• Ensure data accuracy and integrity by performing data validation, cleansing, and quality checks, maintaining high standards of data governance.
• Extract, transform, and load (ETL) data from various sources into analytical tools, ensuring data is prepared and structured for analysis.
• Identify trends, patterns, and anomalies within data sets, providing insights that drive business process improvements and operational efficiency.
• Support the development and implementation of data-driven strategies, working closely with business units to optimize performance and achieve key objectives.
• Present findings and recommendations to senior management and stakeholders, translating complex data insights into understandable and actionable business terms.
• Stay current with industry trends and emerging technologies in data analytics, integrating new tools and methodologies to enhance analytical capabilities.
• Provide training and support to team members and other departments on data analysis techniques and the use of analytical tools, fostering a data-driven culture within the organization.

Education

• Bachelor's degree in data science, business analytics, computer science, statistics, or a related field is required. Certifications such as Certified Business Analysis Professional (CBAP), Microsoft Certified: Data Analyst Associate, or Certified Analytics Professional (CAP) are highly recommended. Proficiency in data analysis, statistical tools, and business intelligence (BI) platforms is essential. A master’s degree in a related field is but not mandatory.

Experience

• Minimum of 5 years of experience in data analysis, business intelligence, or a related field, with demonstrated expertise in analyzing business data to support decision-making processes.
• Proven experience in collecting, cleaning, and analyzing large datasets to identify trends, patterns, and insights that drive business performance.
• Strong technical background with hands-on experience in using data analysis tools and such as SQL, Python, R, or Excel, and proficiency in business intelligence platforms like Power BI, Tableau, or Qlik.
• Demonstrated ability to develop and implement data models, reports, and dashboards that provide actionable insights to stakeholders across the organization.
• Experience in working closely with business units to understand their data needs, translating business requirements into data-driven solutions that support strategic goals.
• Proficiency in data visualization techniques, with the ability to present complex data in a clear and compelling manner to both technical and non-technical audiences.
• Knowledge of data governance, data quality management, and best practices for ensuring data integrity and accuracy across systems.
• Strong problem-solving and analytical skills, with the ability to identify data-related issues and recommend effective solutions to improve business processes.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams, including IT, finance, and operations, to support data-driven initiatives.
• Relevant certifications such as Certified Business Analysis Professional (CBAP), Microsoft Certified: Data Analyst Associate, or Certified Analytics Professional (CAP) are .

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