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The Data Apps Development & Lead Analyst is a strategic professional responsible for integrating subject matter expertise, managing development teams, and linking data analytics to business needs. The position involves overseeing complex deliverables and ensuring quality and timeliness. Requires strong communication and analytical skills.
Job Responsibility:
integrates subject matter and industry expertise within a defined area
manage one or more Applications Development teams in an effort to accomplish established goals as well as conduct personnel duties for team (e.g. performance evaluations, hiring and disciplinary actions)
contributes to data analytics standards around which others will operate & have acumen to link the Data to the business needs
applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function
employs developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers
resolves occasionally complex and highly variable issues
produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/taken
responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning resource planning
appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
Requirements:
6-10 years experience using codes for statistical modeling of large data sets
ability to traverse around complex data sets & come out with insights
interpret complex product data’s functions & able to model the data to the functional groups needed for business fronting discussions
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