Data Analytics Lead Analyst

Citigroup Inc.; Pune District; On-site; INR 2,200,000 - 3,600,000; Full time

Job summary

Citi in Pune, India is seeking a Data Analytics Lead Analyst to guide data science initiatives and ensure high-quality, timely analytics delivery. This senior role involves applying industry knowledge to strategic decisions, coordinating with multiple teams, and upholding Citi's compliance and risk controls.

Office-based with project travel as needed. Strong experience in statistical modeling of large data sets and a Bachelor's degree are required; Masters is a plus.

Qualifications

• 10 years experience using codes for statistical modeling of large data sets
• Bachelor’s degree in a related field; Masters may be considered

Responsibilities

• Integrates subject matter and industry expertise within a defined area.
• Contributes to data analytics standards around which others will operate.
• Applies understanding of how data analytics integrates within the sub-function and coordinates with the whole function.
• Guides, influences and convinces colleagues and external customers as needed.
• Resolves complex and variable issues.
• Produces detailed analysis to guide actions when the best course is not obvious.
• Oversees volume, quality, timeliness and delivery of data science projects with resource planning.
• Assess risks in business decisions, protect Citi's reputation, and ensure compliance with laws and regulations.

Skills

Statistical modeling

Education

Bachelor's degree

Job description

The Data Analytics Lead Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. 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. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family.

Responsibilities

• 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.

Recommended Qualifications

• 10 years experience using codes for statistical modeling of large data sets

Education

• Bachelor’s/University degree or equivalent experience, potentially Masters degree

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

• Working Environment: office setting, minimal travelling and working hours in the office may be required during projects.
• Effort: minimal physical effort required. High levels of prolonged and intense concentration may be required in front of computer.

Job Family Group

Technology

Job Family

Data Analytics

Time Type

Full time

Most Relevant Skills

Please see the requirements listed above.

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