Data Analyst

2 weeks ago

Makati City, National Capital Region, Philippines Ebizolution Full time $104,000 - $130,878 per year

As a Data Analyst, you will play a crucial role in interpreting and analyzing data to provide valuable insights and support data-driven decision-making. Responsibilities will include data collection, data cleaning, and data visualization to present findings in a clear and concise manner. Collaborating with cross-functional teams, you will identify trends, patterns, and opportunities within the data to address business challenges. He/she will contribute to the improvement of business processes, product performance, and overall organizational efficiency. The ideal candidate should possess strong analytical skills, proficiency in data analysis tools, and the ability to communicate complex data insights to stakeholders effectively.

PRIMARY DUTIES & RESPONSIBILITIES:

The primary duties and responsibilities of a Data Analyst include:

  1. **Data Collection and Cleaning:** Collecting data from various sources, such as databases, spreadsheets, and APIs, and ensuring the data is clean, accurate, and reliable for analysis.

  2. **Data Analysis and Interpretation:** Analyzing data using statistical methods, data mining techniques, and data visualization to extract meaningful insights and trends.

  3. **Data Visualization and Reporting:** Creating data visualizations, charts, and reports to present findings in a clear and understandable manner to stakeholders.

  4. **Data Quality Management:** Ensuring data integrity and accuracy by identifying and addressing data quality issues and anomalies.

  5. **Business Insights:** Collaborating with business stakeholders to understand their requirements and provide data-driven insights to support decision-making and drive business improvements.

  6. **Data Exploration:** Exploring and identifying patterns, trends, and opportunities within the data to uncover valuable information.

  7. **Performance Monitoring:** Tracking and monitoring key performance indicators (KPIs) to assess the success and effectiveness of business initiatives.

  8. **Data-driven Recommendations:** Using data analysis to make data-driven recommendations for process optimization, product improvements, or cost-saving measures.

  9. **Ad Hoc Analysis:** Conducting ad hoc data analysis to address specific business questions or challenges as they arise.

  10. **Data Privacy and Security:** Ensuring compliance with data privacy regulations and handling sensitive data securely.

  11. **Data Tool Proficiency:** Using data analysis tools, such as SQL, Excel, Python, R, or data visualization tools like Tableau, to manipulate and analyze data efficiently.

  12. **Data Storytelling:** Communicating data findings effectively to stakeholders through presentations or reports to influence decision-making.

  13. **Cross-functional Collaboration:** Collaborating with teams across different departments to understand data needs and ensure alignment with business objectives.

  14. **Continuous Learning:** Staying updated with the latest data analysis techniques, tools, and best practices to enhance analytical skills and knowledge.

  15. **And such other tasks that may be assigned from time to time**

JOB SPECIFICATION:

Academic Qualification:

A bachelor's degree in a field such as Mathematics, Statistics, Computer Science, Data Science, Economics, Engineering, or a related quantitative discipline is often the minimum requirement.

Job Type: Full-time

Benefits:

  • Company events
  • Flextime
  • Health insurance
  • Opportunities for promotion

Work Location: In person

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