Senior Data Analyst
@ APAC Entrepreneur

Hybrid
$0
Hybrid
Full Time
Posted 22 days ago

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XXXXXXXXX XXXXXXXXXXX XXXXXX****** @apacentrepreneur.com
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Job Details

About the Role

APAC Entrepreneur is seeking a Senior Data Analyst to join our Marketing Team. The candidate will research and identify ways to build our brand by analyzing consumer behavior and exploring market trends and opportunities.

Job Responsibilities

  • Collect, organize, and process large datasets from various sources.
  • Develop and maintain data pipelines and databases.
  • Perform statistical analyses and automate data visualizations.
  • Collaborate with cross-functional teams to identify data needs.
  • Implement data quality checks and ensure data accuracy.
  • Continuously improve data systems and infrastructure.
  • Work with product teams to build microservices and products.
  • Create and maintain reports and dashboards for BI.
  • Generate insights and provide recommendations to drive decisions.
  • Stay current with industry trends in data analysis, engineering, and product development.
  • Bridge tech and business by extracting insights for leadership.

Additional Information

The role is remote and welcomes fresh graduates as well as experienced professionals. The candidate should have a leadership background, yet be capable of driving projects as an individual contributor.

Key skills/competency

  • Data Analysis
  • Data Pipelines
  • Statistical Analysis
  • Data Visualization
  • Business Intelligence
  • Market Trends
  • Data Quality
  • Microservices
  • Leadership
  • Collaboration
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How to Get Hired at APAC Entrepreneur

🎯 Tips for Getting Hired

  • Customize your resume: Highlight data analysis and visualization skills.
  • Research APAC Entrepreneur: Understand their market and mission.
  • Showcase leadership: Emphasize project management and team collaboration.
  • Prepare for technical questions: Focus on data pipelines and statistical methods.

📝 Interview Preparation Advice

Technical Preparation

Review data pipeline construction techniques.
Practice SQL and statistical analysis methods.
Refine data visualization and automation skills.
Update knowledge on database management systems.

Behavioral Questions

Describe a challenging data project.
Explain teamwork in data analysis.
Discuss handling project deadlines.
Share conflict resolution experiences.

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