The Modelling Analyst will be involved in projects from a modelling perspective. His/Her responsibilities will start from understanding project briefs from internal stakeholders, identify the right analytic solutions from product portfolio that will answer client questions, execute them error-free and deliver results on time. The work will be heavy on data analyses, statistical modelling, and finally presenting these from a business/non-technical point of view. As the person grows in experience, the profile will require that he/she starts carrying out the above tasks independently, contributing to building relationships with internal stakeholders, and improving our analytical solutions through R&D (Research & Development) initiatives and value-added insights.
Name of the
Organization: NielsenIQ
Requisition
ID: 744000029158989
Positions: Associate
Analyst
Location: Vadodara,
Gujarat
Salary: As per
company Norms
Required
Skills & Qualifications:
- Postgraduate in either of Statistics, Mathematics, Economics, or Operation Research fields; Additional certification in Data Science or Data Analytics will be an advantage
- Excellent, clear and confident communication.
- 0 - 1 years of experience, Freshers are also invited to apply for this role
- Candidate aware of the market research, FMCG/T&D industry is preferred.
- Thorough understanding and working knowledge of Statistical techniques like Regression, Cluster and Factor analyses, Significance testing.
- Hands on with data processing/programming tools R/Python/SQL/VBA is preferred.
- Proficiency in Microsoft Excel for data analysis, and reporting.
- Strong analytical and problem-solving skills with attention to detail.
Responsibilities:
- Execute analyses error-free and on time.
- Manage execution of multiple analyses within project and work towards building efficiencies by identifying faster and simpler ways to improve the existing solutions
- Carry out multiple standard/non-standard analyses to help build quality and insightful proposals and final insights presentations.
- Gain a detailed understanding and develop expertise in existing analytical solutions
- Help in R&D studies by carrying out analyses as planned
Benefits:
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)
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