About the role
structured by ORIExperience: 1-4 years of experience. Responsible for performing general analytics and statistical modeling on existing data sets in various areas of the business (e.g., Market Economics, Supply Chain, Marketing/Advertising, Financial Services, Scientific Research, etc.).
What you will do
- Performing general analytics and statistical modeling on existing data sets in various areas of the business.
- Defining data requirements, data collection, processing, cleaning, analysis, modeling and visualization.
- Examining and identifying data patterns and trends to help answer business questions and improve decision making.
- Providing inputs for complex Data Science and Big Data Mining projects.
- Identifying areas to increase efficiency and automation of data analysis processes.
What they are looking for
- 1-4 years of experience.
- Knowledge base typically acquired from a professional/university degree and approximately 1-2 years of practical professional experience in a particular area.
Full posting text
Experience: 1-4 years of experience.
Responsible for performing general analytics and statistical modeling on existing data sets in various areas of the business (e.g., Market Economics, Supply Chain, Marketing/Advertising, Financial Services, Scientific Research, etc.). Activities include: defining data requirements, data collection, processing, cleaning, analysis, modeling and visualization. Examines and identifies data patterns and trends to help answer business questions and improve decision making.
Provides inputs for complex Data Science and Big Data Mining projects. Identifies areas to increase efficiency and automation of data analysis processes.
Positions on this level are fully proficient in executing established standards. Works independently within set frames and follows set course. Has a knowledge base typically acquired from a professional/university degree and approximately 1-2 years of practical professional experience in a particular area. Develops own knowledge, shares best practice and develops relevant/appropriate solutions. Positions at this level are expected to continuously improve the day-to-day activities/processes.
Can be a formal team leader of more junior co-workers and may set day-to-day operational objectives.
Key skills: advertising, data analysis, data analytics, mining, data collection, financial services, research, mining projects, analytics, marketing, automation, data science, omnichannel, big data, employee satisfaction, customer experience.
Role: Data Science & Analytics - Other
Industry Type: BPM / BPO
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Analytics - Other
Education: UG: Any Graduate
Education: PG: Any Postgraduate