Responsibilities :
- Translate business requirements and hypotheses into analyses and insights to aid business decision making.
- Conduct full lifecycle activities which includes project requirement, data collection, data cleaning, data exploration/analysis, analytics, and client reporting.
- Ability to work with structured as well as unstructured data and derive meaningful insights
- Should have excellent problem-solving skills. Should be able to work with management to prioritize business and information needs.
- Conceptualize KPIs to measure, track and benchmark performance in various aspects of business.
- Collaborate with internal stakeholders to manage data logistics (including data transfers, understanding data structures, business rules, business processes and problems etc.) for efficient project execution.
- Appropriately own and accountability for the timeliness and quality of all assignments.
- Identifying opportunities for continuous improvement and automation of tasks using Excel/Python/R/SQL where relevant.
- Experience in working with Relational as well as NoSQL databases
- Strong experience in Business Intelligence, Data Analytics, Modelling and Segmentation.
- Experience in Visualization tools like Tableau / Power BI.
- Must be able to prioritize multiple assignments, with a high degree of accuracy, and function quickly in a fast-paced, deadline-oriented environment.
- Manage a team of 8-10 members.
Key skills / Abilities:
- Interpretation of Data, deep understanding of data analysis, and ability to translate complex data sets and ideas into simple visualizations and insights.
- Ability to work with structured as well as unstructured data
- Efficiently work on multiple Tools
- Team Management skills
- Strong expertise in communication, presentation skills
Experienced Required - Minimum 5-7-year experience in data science, preferably from Market Research companies
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