Data Analyst for Kawasaki City, Japan

To understand and validate the data. They require specific OEM experience and knowledge. To assist the company in achieving its business objectives and revenue targets through the provision of customized business solutions for automotive clients, applying analytical tools and techniques to past, present and future markets.

1. Interpret data, analyze results using statistical techniques and provide ongoing reports
2. Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality
3. Acquire data from primary or secondary data sources and maintain databases/data systems
4. Identify, analyze, and interpret trends or patterns in complex data sets
5. Filter and clean data, and review computer reports, printouts, and performance indicators to locate and correct code problems
6. Work closely with management to prioritize business and information needs
7. Locate and define new process improvement opportunities

Candidate should have:

1. Proven working experience as a data analyst
2. Technical expertise regarding data models, database design development, data mining and segmentation techniques
3. Strong knowledge of and experience with reporting packages (Business Objectives etc.), Databases (SQL etc.), Programming (XML, Javascript or ETL frameworks)
4. Knowledge of statistics and experience using statistical packages for analysing large datasets (Excel, SPSS, SAS etc)
5. Strong analytical skills with the ability to collect, organise, analyse and disseminate significant amount of information with attention to detail and accuracy
6. Adept at queries, report writing and presenting findings
7. A passion in data and systemic thinking / patience to complete data validation work.
8. Strong communication and presentation skills
9. Excellent attention to detail
10. Good team worker
11. Experience working with software development is also desirable
12. BS/MS in Mathematics, Economics, Computer Science, Information Management or Statistics
13. English environment

Note :- 

• Candidate who have scored minimum 70% or equivalent through out their academics (from SSC upto highest qualification), will be considered only.

D. K. Shriwas

91-731-4228509

sv16@svmanagement.com