Data Analyst

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 at KOMOJU, 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

While not specifically required, tell us if you have any of the following.

• 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.

Compensation