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Sutherland Global Services
143 Sutherland Global Services Jobs
Sutherland - Lead - Data Analytics (5-8 yrs)
Sutherland Global Services
posted 12hr ago
Flexible timing
Key skills for the job
Company Overview :
- We are One Sutherland-a global team committed to delivering breakthrough solutions.
- With over 35 years of industry experience, we have grown into a leading global provider of business process and technology management services, offering an integrated portfolio of analytics-driven back-office and customer-facing solutions.
- At Sutherland, we celebrate diversity and foster an environment where innovation thrives.
Job Description :
- Sutherland is seeking an experienced and analytical professional to join us as a Lead - Data Analytics.
- In this role, you will be responsible for developing data-driven solutions, building machine learning models, and providing actionable insights to drive business decisions.
Key Responsibilities :
- Develop and validate machine learning models, including NLP techniques.
- Work with Python (preferred) or R for data analysis and modeling.
- Perform data preprocessing and implement descriptive analytics methods.
- Write SQL queries for data extraction, transformation, and analysis.
- Translate complex data insights into actionable business recommendations.
- Create clear documentation and communicate findings effectively to stakeholders.
- (Nice to have) Experience in Text Analytics.
Qualifications & Skills :
Education : B./ B.Tech / M.Sc./ M.Tech in a relevant field.
Experience : 5-8 years in Data Science / Analytics.
- Strong proficiency in Python (preferred) or R.
- Solid understanding of machine learning models and NLP techniques.
- Hands-on experience with data preprocessing and descriptive analytics.
- Good knowledge of SQL for data handling.
- Strong problem-solving, communication, and storytelling skills.
- (Nice to have) Advanced Degree or Certification in Statistics.
Why Join Us ?
- Work in a dynamic and collaborative global team.
- Opportunity to drive impactful business decisions with data-driven insights.
- A culture that values diversity, innovation, and professional growth
Functional Areas: Other
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