Job Description: Data Analyst (Energy)

Location: Tokyo, Japan

Job Type: Full-time

Job Category: IT

Number of Openings: 1

Overview:

Our Client is seeking a dedicated and detail-oriented Data Analyst (Energy) to join our dynamic team in Tokyo. The ideal candidate will possess a passion for data and a strong understanding of the energy sector, with a focus on digital transformation (DX). If you are looking for an opportunity to leverage your analytical skills and contribute to significant projects in the energy field, we would love to hear from you.

Responsibilities:

Analyze and interpret complex data sets related to energy consumption and production.
Design and develop data models to enhance understanding and performance across energy systems.
Collaborate with cross-functional teams to extract actionable insights and drive decision-making.
Utilize statistical tools and data visualization methods to present findings clearly and effectively.
Support digital transformation initiatives by integrating advanced analytics and innovative technologies.
Prepare comprehensive reports and presentations for stakeholders, ensuring clear communication of results and recommendations.
Stay up-to-date with industry trends and best practices, contributing to the continuous improvement of analytics capabilities.

Essential Qualifications:

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
Minimum of 1 year and maximum of 5 years of professional experience in data analysis or a related role, preferably within the energy sector.
Proficiency in data analysis tools and languages such as Python, R, SQL, or equivalent.
Strong understanding of statistical analysis and data visualization techniques.
Exceptional problem-solving skills and attention to detail.
Fluency in Japanese and English is preferred, both written and spoken.

Desired Experience:

Experience working with energy data sets and familiarity with energy markets.
Exposure to digital transformation initiatives or projects.
Previous experience with large datasets and knowledge of data management principles.
Ability to work collaboratively in a team-oriented environment while managing multiple tasks.

Salary & Benefits:

Benefits:

Comprehensive health insurance plans.
Retirement savings plan.
Professional development opportunities.
Flexible working hours and remote work options.
Annual performance bonuses based on individual and company performance.