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Data Analyst

Posted 2024-09-20

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πŸ’Ž Seniority level: Middle, 3+ years

πŸ“ Location: Japan

πŸ” Industry: Cross-border payment gateway

🏒 Company: Degica

πŸ—£οΈ Languages: English, Japanese

⏳ Experience: 3+ years

πŸͺ„ Skills: SQLData AnalysisTableauData analysisCommunication SkillsAnalytical SkillsCollaboration

Requirements:
  • 3+ years of experience in data analysis or related field.
  • Strong background in data analysis with advanced knowledge of SQL.
  • Proficiency in data visualization tools (e.g., Tableau, Power BI, Looker, Excel).
  • Strong analytical skills and the ability to translate data into actionable business insights.
  • Experience working with large datasets and understanding data integrity and validation processes.
  • Excellent communication skills to explain complex data findings to non-technical stakeholders.
  • Strong attention to detail and commitment to data accuracy.
  • Familiarity with programming languages used for data analysis (e.g., Python, R) is a nice to have.
  • Experience with statistical analysis and data modeling techniques is a nice to have.
  • Knowledge of data warehousing and cloud platforms (e.g., Amazon Redshift, Google BigQuery) is a nice to have.
  • Experience with data governance practices to ensure data quality and consistency is a nice to have.
  • Familiarity with self-service BI environments that empower teams to explore data independently is a nice to have.
Responsibilities:
  • Collaborate with cross-functional teams (Business, Engineering, and Operations) to understand data needs and deliver actionable insights that inform business decisions.
  • Analyze complex datasets to identify trends, patterns, and opportunities for process improvements or new business initiatives.
  • Develop and maintain dashboards, reports, and data visualizations that help teams monitor key metrics and performance.
  • Ensure data accuracy, consistency, and integrity across all reports and analysis.
  • Work closely with the Engineering team to improve data collection processes and ensure reliable data pipelines.
  • Implement access controls where necessary to manage sensitive data and comply with internal policies.
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