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The Data Analytics Lead Analyst is a strategic professional who stays abreast of developments within their own field and contributes to the directional strategy. Responsibilities include integrating subject matter expertise, contributing to data analytics standards, and applying in-depth understanding of data analytics within the function. The role requires strong communication, problem-solving, and technical skills, with significant impact on deliverables. Qualifications include strong experience in statistical modeling, data analysis, Python, SQL, and machine learning, among others. Financial or banking background is a plus.
Job Responsibility:
Integrates subject matter and industry expertise within a defined area
Contributes to data analytics standards around which others will operate
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
Experience in advanced data analysis including Qualitative and quantitative intelligence analysis in the business (financial, national intelligence, or technology industry is highly preferred)
Strong working knowledge of Python, SQL and programming languages
Knowledge and experience in Machine Learning (ML)
Must have the ability to effectively communicate (both written and verbally) through all levels of the organization including the ability to translate technological concepts into easily understood presentations
Methodical analysis and problem solving skills including the ability to translate complex analytical concepts into actionable intelligence recommendations
Demonstrate creative and innovative experience and the ability to think outside the box
Mature, self-starting, self-motivated and capable of making independent decisions
Demonstrate a seasoned career progression
Proficient in PC desktop software, with emphasis on MS Office products
Financial / banking background is a plus
Nice to have:
Data Analytics, Data Analyst, Python Programming course and certification is plus
ACAMS certification will be an added advantage
What we offer:
Programs and services for your physical and mental well-being including access to telehealth options, health advocates, confidential counseling and more
Access to an array of learning and development resources to help broaden and deepen your skills and knowledge
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