Data Analyst-Business Analytics-Data Scientist
EXLIndia18 days ago
Full-timeInformation Technology
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Roles & Responsibilities
The Lead Data Analyst's primary responsibility is to deliver Business Insights & Product Insights through data analysis. Act as a subject matter expert for the team/clients in designing and recommending the appropriate business approaches and methodology in addressing key business issues. Business research & experiment, development, and implementation of appropriate process / systems that lead to improved business performance through identifying the opportunities for optimization.
Analytical & Technical Skills
The candidate must be passionate and highly skilled in business analytics and data representation. The candidate should also be highly knowledgeable in the contact center business use of emerging open-source data visualization tools Power BI, Domo etc. This is necessary for the creation of visually and verbally engaging reports and presentations, for clients, leadership teams, and other key stakeholders.
The candidate should be skilled in SQL database, Data crunching, Business analytics, Data analytics, and Python (added advantage) etc. Additionally have a deep understanding of A/B testing and be highly knowledgeable in key metric identification for driving and maintaining healthy business performance.
Experience in CC contact channels, digital products, Digital transformation solutions, Conversational AI Optimization (Voice & Digital), Client handling, and web data handling would be added advantage.
The Lead Data Analyst's primary responsibility is to deliver Business Insights & Product Insights through data analysis. Act as a subject matter expert for the team/clients in designing and recommending the appropriate business approaches and methodology in addressing key business issues. Business research & experiment, development, and implementation of appropriate process / systems that lead to improved business performance through identifying the opportunities for optimization.
Analytical & Technical Skills
The candidate must be passionate and highly skilled in business analytics and data representation. The candidate should also be highly knowledgeable in the contact center business use of emerging open-source data visualization tools Power BI, Domo etc. This is necessary for the creation of visually and verbally engaging reports and presentations, for clients, leadership teams, and other key stakeholders.
The candidate should be skilled in SQL database, Data crunching, Business analytics, Data analytics, and Python (added advantage) etc. Additionally have a deep understanding of A/B testing and be highly knowledgeable in key metric identification for driving and maintaining healthy business performance.
Experience in CC contact channels, digital products, Digital transformation solutions, Conversational AI Optimization (Voice & Digital), Client handling, and web data handling would be added advantage.
Key Skills
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