Description

Salary- 5 to 15 LPA Exp- 0 to 4 years Location- Bangalore, Gurgaon, Pune, Mumbai, Hyderabad Notice: Immediate to 30 days..!! Role & responsibilities: Strong knowledge on SQL, Tableau/Power BI & Python Emphasis is on end-to-end delivery of analysis Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems Participate in design of analysis and modelling approach with managers and modelers Extremely comfortable working with data, including managing large number of data sources, analyzing data quality, and pro-actively working with clients data/ IT teams to resolve issues Use variety of analytical tools (Python, SQL, Tableau, Power BI etc.) to carry out analysis and drive conclusions Reformulate highly technical information into concise, understandable terms for presentations Role: Data Analyst Industry Type: Analytics / KPO / Research Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics

Role and Responsibilities

• Salary- 5 to 15 LPA Exp- 0 to 4 years Location- Bangalore, Gurgaon, Pune, Mumbai, Hyderabad Notice: Immediate to 30 days..!! Role & responsibilities: Strong knowledge on SQL, Tableau/Power BI & Python Emphasis is on end-to-end delivery of analysis Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems Participate in design of analysis and modelling approach with managers and modelers Extremely comfortable working with data, including managing large number of data sources, analyzing data quality, and pro-actively working with clients data/ IT teams to resolve issues Use variety of analytical tools (Python, SQL, Tableau, Power BI etc.) to carry out analysis and drive conclusions Reformulate highly technical information into concise, understandable terms for presentations Role: Data Analyst Industry Type: Analytics / KPO / Research Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics