Responsibilities:
- Develop analytical models to assess the impact of changes to pricing and products on business profitability and scale
- Create various algorithms for optimizing demand & supply data
- Data analysis and solution building based on insights capture from data
- Responsible for giving insights to management and help in strategic planning
- Structure concise reports with insights supported by solid analytics and logical thinking
- Cross team projects and streamlining of process
- Root cause Analysis of problems and suggesting improvements to product/ops based on insights
Minimum Qualification:
- 2-4 years of experience in data-analytics; experience in the e-commerce industry is preferred
- Knowledge of statistical tools and techniques.
- Strong knowledge in SQL and manipulating large data sets in a database.
- Advanced Excel proficiency including Pivot tables, vlookup / hlookup, graphs etc.
- Proficiency in R/Python[d2].
- Proficiency in data visualization and presentation; experience with Tableau is a plus.
- Strong sense of urgency
- Self-starter with ability to work in a fast-paced environment
- Data Driven: Sharp aptitude and excellent numerical acumen; ability to sift through large volumes of data.
- Problem-solving skills:- Problem-solving is an important form of critical thinking-. Ability to understand the problem from all the perspectives (i.e. business, technical and end-user), analyze the available options and constraints and then, recommend possible solutions
- Analytical skills: Should be able to tackle every problem analytically i.e. first understanding a problem - visualizing - analyzing - gathering more information - striving to solve it
- Communication Skills: Good written and oral communication skills with the ability to present and clearly explain data to non-technical audiences.
- Industry and domain expertise: Sound knowledge on various trends, relevant statistical tools and also have the ability to understand the business environment & grasp the business expectations.
Functional skills:
- SQL
- MS Office
- Statistics Modelling
- Problem-solving
- Decision making
- Data Analysis
- Analytical Thinking
- Behavioural skills:
- Data Driven
- Commitment
- Ownership
- Ability to work under pressure
- Timeliness
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