Responsibilities:

As a Data Analyst specializing in the development and implementation of customer solutions across diverse industries such as IT, manufacturing, finance, and services, your role will involve:

1. Data Analysis and Algorithm Implementation:

   - Analyzing data sets to derive insights and trends.

   - Implementing algorithms and creating predictive models using various machine learning techniques, including decision trees, logistic regression, random forest, naive Bayes classifier, k-NN, k-means, and neural networks.

2. Sales Trend Prediction:

   - Developing predictive models for sales trends using machine learning, with a focus on weather change as a variable.

   - Utilizing access log data for comprehensive data analysis.

3. Assignment Optimization System:

   - Implementing an assignment optimization system for the HR team to enhance operational efficiency.

Qualifications:

To excel in this role, you should possess the following qualifications:

- Hands-on experience in data science.

- Proficiency in using Python or R.

- Familiarity with frameworks such as Hadoop or Spark.

- Bachelor's or higher degree in Computer Science, Information Technology, Statistics, or Mathematics.

- Business conversation level in English.

Additional Qualifications for Data Analyst:

- 1+ years of experience in developing Web or Mobile applications.

- Basic knowledge of Database Management Systems (DBMS).

Salary:

- Annual salary ranging from 35 lakhs JPY.

BENEFITS 

Visa sponsorship, Travel expenses, Housing allowance, Housing search support, Commuting allowance (Maximum: 30,000 yen per month), Social insurance, Retirement allowance, Training (Japanese language, business manners and technical skills).

HOLIDAYS/LEAVES  

Saturdays, Sundays and Public holidays in principle. Paid leave, Spouse's childbirth leaves, Bereavement leave, Summer vacation, New year vacation, etc. 

*It may change based on a project 

Working Location:

Opportunities available in Tokyo, Osaka, Nagoya, and other cities.

If you are passionate about data analysis, possess the required skills, and are looking for a dynamic environment to contribute your expertise, we welcome you to apply for this exciting opportunity in our team.