スキルハウスの採用情報
Senior Data Analyst (Python, SQL: Metrics, Data & Insight)
役職：
Senior Data Analyst (Python, SQL: Metrics, Data & Insight)
雇用形態:
正社員
給与:
勤務時間:
Japanese Level - None,English Level - Fluent (TOEIC 990)
職務内容
A Global IT Service is looking for a Senior Data Analyst to work on collecting, processing, and performing statistical analyses on large datasets to discover useful information, suggest conclusions, and support decision-making. Be it providing personalized superior user experience to our customers or making informed business decisions, data plays a vital role underlying all AI-driven initiatives. This role provides insights to fuel business growth and enhance customer experience.
Responsibilities:
- Data Exploration and Analysis: Leverage statistical tools and techniques to thoroughly explore and analyze datasets, identifying key patterns, relationships, and trends that drive business growth and improve user experience
- Data Cleaning and Preparation: Ensure data quality and relevance by filtering data, handling missing values, and meticulously preparing datasets for analysis
- Data Visualization: Develop compelling visual representations of data insights, including charts, graphs, and interactive dashboards, to effectively communicate findings to diverse audiences
- Reporting and Communication: Prepare comprehensive reports and presentations that clearly articulate data insights and findings to stakeholders, influencing data-driven decision-making processes
- Cross-functional Collaboration: Partner with various departments to understand their data requirements and provide actionable insights that empower informed decision-making across the organization
Required Skills:
- Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline
- Extensive experience (5+ years) as a Data Analyst or in a similar analytical role within the Tech (e-commerce is preferred) industry, demonstrating increasing levels of responsibility
- Expert proficiency in statistical analysis tools and programming languages, including Python and SQL
- Proven ability to lead data exploration, analysis, and visualization efforts, with a strong track record of extracting actionable insights from large and complex datasets
- Experience with data cleaning and preparation techniques and familiarity with database management systems. Knowledge of data warehousing concepts is a plus
- Demonstrated ability to work both independently and collaboratively within team
- Highly effective communication and presentation skills, with the ability to convey complex data insights clearly to diverse audiences, contributing to a data-driven environment within the organization
Why should you apply:
- Great opportunity to be able to work for well-established company
- Cross-departmental communication is possible in an international environment
- Drive innovation and maintain high standards for products utilized on a huge scale
Company Overview: This is a global company with a strong presence in multiple business sectors. It has achieved sustained growth both domestically and internationally, including in the U.S. and Europe. The company prides itself on its diverse and international environment, providing ample career opportunities and a commitment to equal opportunity. With a wide range of business activities, the company also works with various technologies. You can choose your preferred working environment, whether Windows or Mac! Meals at the employee cafeteria are free, and the chef regularly comes up with new menus, ensuring you never get bored of the meals!
Work Hours : 9:00 AM – 5:30 PM (Flextime or staggered working hours possible)
Work Style : Hybrid (Typically 4 days in the office, 1 day working from home)
Holidays : Saturdays, Sundays, public holidays, New Year holidays, paid leave, bereavement leave, and other special leave
Benefits: Full social insurance (employee pension insurance, health insurance, worker’s accident compensation insurance, unemployment insurance), DC pension plan, transportation allowance, childcare and caregiving support, cafeteria, retirement benefit system, welfare services (Relo Club), health counseling services, relocation support (visa support, moving), employee discounts (moving, language classes, etc.), and more
Interview Process: 3~4 times
