Data Analyst-Business Analytics-Data Scientist

Posted Yesterday
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Bengaluru, Bengaluru Urban, Karnataka, IND
Hybrid
Mid level
Information Technology • Database • Consulting
The Role
Deliver business and product insights through data analysis. Design methodologies, run experiments, identify optimization opportunities, collect/clean/analyze data, build reports and dashboards, perform statistical analysis including A/B testing, and collaborate with stakeholders to improve contact center and digital product performance.
Summary Generated by Built In

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.

Responsibilities

Collect, clean, and analyze data, create reports and dashboards, collaborate with stakeholders on data needs, perform statistical analysis

Qualifications

Bachelor's/Master's in any stream 2-5 years

Skills Required

  • Bachelor's or Master's degree
  • 2-5 years of relevant experience
  • Proficiency with SQL/databases
  • Experience with data visualization tools (Power BI, Domo)
  • Data cleaning, data crunching, and data analysis
  • Create reports and dashboards for stakeholders
  • Statistical analysis and deep understanding of A/B testing
  • Stakeholder collaboration and client handling
  • Experience in contact center channels, digital products, conversational AI optimization
  • Python programming (added advantage)
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