Data Analyst

Salary not provided

PythonR

Minimum year of experience: 3

KOMOJU

About the position

We are seeking a Data Analyst with a passion for leveraging data to drive decision-making and business insights across the organization. As a Data Analyst, you will work closely with various teams to interpret data, uncover trends, and deliver actionable insights that help inform key business strategies.

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.

Requirements

  • 3+ years of experience in data analysis or related field.
  • Conduct ad-hoc data analysis and present findings to stakeholders in a clear and concise manner.
  • Strong background in data analysis with advanced knowledge of SQL.
  • Proficiency in data visualization tools (e.g., Tableau, Power BI, Looker, Excel) to develop insightful reports and dashboards.
  • 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.

Nice to Haves

  • Familiarity with programming languages used for data analysis (e.g., Python, R).
  • Experience with statistical analysis and data modeling techniques.
  • Knowledge of data warehousing and cloud platforms (e.g., Amazon Redshift, Google BigQuery).
  • Experience with data governance practices to ensure data quality and consistency across the organization.
  • Familiarity with self-service BI environments that empower teams to explore data independently.

Benefits

  • At Degica, we embrace remote work while also offering office space for those who prefer in-person collaboration
  • 10 days regular vacation, additional 5 days summer and 5 days winter vacation
  • Paid birthday holiday
  • Budget for self-learning allowance, to ensure our employees’ skills remain current
  • Language training for Japanese