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About
Responsibilities
Translate business requirements to analytical outputs in the form of dashboards, summarize ML outputs to actionable insights
Supports data exploration and profiling, and works closely with DE team to build data models
Mentors/trains junior analysts to grow their expertise
Work with cross-functional teams to deliver the outcomes
Coordinates with DE/SE to perform data validation and compares against client control totals
Coordinates with DS team (as required) to conduct analytical QA on DS outputs
Captures client requirements from BRDs and works closely with product managers to get them fleshed out
Reviews analytical outputs and prepares insights to present to customers
Leverages domain and data understanding to drive insights and build intelligence dashboards
Must Have
SQL
Should be able to extract data and analysis through Python, R or any other supporting language. Should be able to process and generate insights from large data sets.
AI/ML concepts
He/she should understand statistical model outputs, who could infer DS output, and can use that knowledge to generate insights in the form of dashboards.
Expertise in creating and generating insights through Dashboards using any BI Tool
Expected to act independently to deliver projects to schedule, budget and scope; support provided as required and requested, and is self-driven and motivated
Very strong verbal and written communication skills
Good to Have
Ecom/Retail domain knowledge is plus
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Languages
- English
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