Job Location: Bangalore/Bengaluru
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Address and solve complex business issues using large amounts of data
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Have a clear understanding of the end-to-end analytics journey as well as define and deliver the data roadmap
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Implement a fact-based culture throughout the bank.
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Support key data platform and/or data scheduling jobs to support insights delivery to key audiences (e.g. frontline, other tribes)
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Lead, optimise, design and execute business interventions (customers and operational) to uplift customer engagement and business performance
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Source data from a variety of sources to combine, synthesise and analyse to generate insights
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Continuous generation, monitoring, presenting and conducting of fact-based analysis of relevant customer insights to use at any time for the development and improvement of relevant and innovative propositions
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Generate, monitor, present and analyse relevant customer insights, costs, benefits, and risks for customers, clients and cohort products; this could include business casing, what if scenarios and opportunity sizing assessments
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Develop tools and methods to fully profile customers and customer segments
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7 years experience in data analytics with strong relevant experience as Data Analyst.
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Excellent communication and presentation skills
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Strong SQL skills and experienced in creating data products / dashboards in Tableau and or QlikSense.
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Strong data visualisation skills and and ability to translate data insights into practical business recommendations
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Good understanding of concepts in applied probability and statistics
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Good quantitative programming skills in Python
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Proficient with Jupyter Notebooks
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Analytical and inquisitive mindset to continuously improve the level of insight surfaced
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Ability to effectively communicate to all stakeholders (technical and non-technical)
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Customer Focus – Monitors customer satisfaction and draws on understanding of customer to deliver customer centric solutions
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Continuous Improvement Change – Understands, accepts and supports the need for change and adapts own behaviours to changing circumstances and provides input to change projects
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Understanding depth breadth of data – Some capabilities to source, join and derive insights from disparate data sources across several domain
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Data Mining / Sourcing Skills – Strong analytics capabilities to identify market opportunities using statistical modelling Techniques
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Problem Solving – Comprehensive understanding of a range of problem solving techniques
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Market / Industry Knowledge – Builds on domain knowledge base
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Influence Relationship Building – Uses an understanding of others point of view and empathy to gain buy-in to develop existing relationships and help build new ones
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Data Visualisation and story telling – Key understanding of the business strategy and implications on Data and Analytic needs ; Ability to story-tell through Visualisations
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Financial/ Business/ Commercial/ Market Acumen – An understanding of Banking and the products, markets, industries, channels and customer segments dimensions and awareness of scenarios modelling optimisation Opportunities
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