Business Analytics-Time Series Forecasting And Python

• The Business Analytics Sr Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development
• of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise
• within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and
• contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential
• impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting
• situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and
• dynamic material from multiple sources. Excellent communication and diplomacy skills are required. Regularly assumes informal/formal
• leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by
• influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all
• teams in the area are directly affected by the performance of the individual.
• Responsibilities:
• • Gathers operational data from various cross functional stakeholders to examine past business performance
• Identifies data patterns & trends, and provides insights to enhance business decision making capability in business planning,
• process improvement, solution assessment etc.
• •
• Recommends actions for future developments & strategic business opportunities, as well as enhancements to operational
• policies
• •
• • May be involved in exploratory data analysis, confirmatory data analysis and/or qualitative analysis
• Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and
• communicate clearly and effectively to business partners and senior leaders all findings
• •

• Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities
• Work closely with internal and external business partners in building, implementing, tracking and improving decision strategies

• 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:

• 9+ years of experience in data analytics
• Good to have - AI/ML working experience
• Must to Have - Python
• This position requires excellent analytical and business strategy skills
• Effective communication skills
• Ability to present to business partners and/or leaders to gain approvals
• Project and process management skills
• Excellent written and verbal communications skills
• Experience with a prior focus in financial services analytics
• Solid organizational skills and ability to manage multiple projects at one time
• Self-starter who also has a demonstrated ability to work successfully in team environment and drive

• Education:
• • Bachelors/University degree or equivalent experience
• 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.

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