The Sr 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 Sr Analyst grows in experience, the profile will require that he/she starts carrying out the above tasks independently, lead the project discussions, contribute to building relationships with internal stakeholders, mentoring other team members on the methodology and solutions, and improving our analytical solutions through R&D (Research & Development) initiatives and value-added insights.
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
- Lead discussions with internal stakeholders and effectively able to tackle all challenges in the assigned project
- 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
- Basis the experience in team, should be able to assess final model results, how to story-board the results to clients, and also guide other team members in model finalization.
- Always look out and experiment with different techniques/methods to improve existing solutions
- Help in R&D studies by carrying out analyses as planned
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.
- 3-6 years of experience in a data analysis role
- Candidate aware of the market research, FMCG/T&D industry is preferred.
- Able to work collaboratively in a team and guide junior associates.
- Thorough understanding and working knowledge of Statistical techniques like Regression, Cluster and Factor analyses, Forecasting, Significance testing.
- Hands on with data processing/programming tools R/Python
- Proficiency in Microsoft Excel for data analysis, and reporting.
- Strong analytical and problem-solving skills with attention to detail.
