Business Data Analyst (Txx-Yogamat)

The Business Data Analyst at TXX-Yogamat is a key member of the company's data-driven decision-making process. The role involves analyzing and interpreting complex data sets to provide valuable insights and actionable recommendations to support business strategies. The Business Data Analyst collaborates with various teams, such as marketing, sales, finance, and operations, to identify trends, patterns, and opportunities that can improve operational efficiency and enhance overall performance. They will also play a crucial role in designing and implementing data models, dashboards, and reports to facilitate data visualization and reporting.

Responsibilities:

1. Data Analysis: Analyze large datasets using statistical and data analysis techniques to identify trends, correlations, and insights relevant to business objectives.
2. Reporting and Visualization: Develop and maintain interactive dashboards, reports, and data visualizations to present analytical findings to stakeholders effectively.
3. Business Insights: Translate complex data analyses into clear and actionable insights that can drive strategic decision-making across different departments.
4. Data Collection and Cleaning: Collect, validate, and clean data from various sources to ensure accuracy and consistency in the analysis.
5. Data Modeling: Design and implement data models to support business intelligence needs and to optimize data storage and retrieval processes.
6. Collaborative Projects: Collaborate with cross-functional teams to understand their data requirements and assist in leveraging data for operational improvements.
7. Performance Tracking: Develop and maintain KPIs and performance metrics to monitor business performance and identify areas for improvement.
8. Data-driven Strategy: Provide data-driven recommendations for process improvements, revenue growth, cost optimization, and customer engagement.
9. Data Governance: Ensure compliance with data privacy regulations and maintain data integrity and security standards.
10. Continuous Learning: Stay updated with the latest data analysis tools, technologies, and industry trends to improve the analytical capabilities of the team.

Requirements:

1. Education: Bachelor's or Master's degree in Data Science, Business Analytics, Statistics, Computer Science, or a related field.
2. Analytical Skills: Strong analytical and problem-solving skills with the ability to work with large datasets and extract meaningful insights.
3. Technical Proficiency: Proficiency in data analysis tools such as SQL, Python, R, Excel, or any other statistical software. Familiarity with data visualization tools like Tableau or Power BI is a plus.
4. Business Acumen: Understanding of business processes and the ability to connect data analysis with real-world business scenarios.
5. Communication: Excellent communication skills to present complex data insights in a clear and concise manner to non-technical stakeholders.
6. Team Player: Ability to work collaboratively in a team environment and effectively contribute to cross-functional projects.
7. Problem Solving: Proactive approach to problem-solving and the ability to identify opportunities for improvement.
8. Attention to Detail: Strong attention to detail to ensure accuracy and reliability of data analysis.