Chief Customer Officer - Data Analytics at Barclays Inc | Sift Talent | SiftChief Customer Officer - Data Analytics
Posted Apr 2, 2026
Key Responsibilities:
- Drive optimal decision-making by communicating evidence-based conclusions effectively
- Identify relevant data points and extract required portions through optimized querying
- Efficiently manipulate data, overcoming challenges around volume and velocity
- Package conclusions and recommendations concisely for customers
- Apply technical and analytical expertise to explore data, discover patterns, and draw insights
- Identify data science and analytics opportunities, communicate with stakeholders, and support continual improvement
- Deliver new innovative data analytics use cases, such as predictive analytics
Qualifications Required:
- Excellent knowledge of best practice data storage, retrieval, and manipulation tools, such as SQL
- Some familiarity with Python and/or cloud concepts and Tableau
- Ability to identify and learn emerging data analytics technologies and deliver practical business solutions
- Experience in training end users in data analysis technologies
Key Responsibilities:
- Drive optimal decision-making by communicating evidence-based conclusions effectively
- Identify relevant data points and extract required portions through optimized querying
- Efficiently manipulate data, overcoming challenges around volume and velocity
- Package conclusions and recommendations concisely for customers
- Apply technical and analytical expertise to explore data, discover patterns, and draw insights
Apply nowPostedApr 2, 2026
Work typeOn-site
LocationAll India, Pune
Source
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See how it works Identify data science and analytics opportunities, communicate with stakeholders, and support continual improvementDeliver new innovative data analytics use cases, such as predictive analytics
- Excellent knowledge of best practice data storage, retrieval, and manipulation tools, such as SQL
- Some familiarity with Python and/or cloud concepts and Tableau
- Ability to identify and learn emerging data analytics technologies and deliver practical business solutions
- Experience in training end users in data analysis technologies