The Business Analytics Sr. Manager accomplishes results through the management of professional team(s) and department(s). Integrates subject matter and industry expertise within a defined area. Contributes to standards around which others will operate. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function. Requires basic commercial awareness. 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. Has responsibility for volume, quality, timeliness and delivery of end results of an area. May have responsibility for planning, budgeting and policy formulation within area of expertise. Involved in short-term planning resource planning. Full management responsibility of a team, which may include management of people, budget and planning, to include duties such as performance evaluation, compensation, hiring, disciplinary and terminations and may include budget approval.

Responsibilities:

• 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
• Ensures analytics drive appropriate marketing investment decisions and marketing plan activities
• Analyzes performance of marketing programs and business initiatives
• Ensures analysis drives appropriate marketing investment decisions and marketing plan activities
• Forecasting includes creation of key indicator curves and indices
• Work closely with internal and external business partners in building, implementing, tracking and improving decision strategies
• Makes and implements recommendations through the use of data analysis and segmentation methodologies
• Integrates key profitability drivers and measures of success make pricing offer recommendations and performs adhoc analytical requests
• Manages staff. Evaluates subordinates' performance and makes decisions regarding staffing, pay increases, promotions, terminations, etc.
• 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, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.

Qualifications:

• 6-10 years of experience
• Experience as an Operations Research Analyst, Analytics Manager, Strategic Business Analyst or related position performing quantitative analytics supporting financial services
• Experience analyzing large datasets; applying mathematical, statistical and quantitative analysis techniques to perform complex analyses and data mining. Ability to translate and articulate complex thoughts and opportunities to a larger au

Education:

• Bachelors/University degree, Master’s degree preferred

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

• Data analysis from various sources/categories (demographic, financial, bureau, transactional, etc.)
• Strong analytical skills. Identify high impact opportunities through Data Abstraction and Synthesis.
• Work together with other areas (Product, Segment, Risk, Speedboat, Digital, etc.)
• Valuation and tracking of key initiatives. Ability to translate numbers into actionable strategies
• Skills and interest in programming and statistical analysis (SAS, SQL, R and/or Python). Experience in data mining and predictive modeling – desirable
• Self-organized, collaborative, proactive and creative - Negotiation, leadership and excellent communication & writing skills
• Bachelor in Actuarial Science, Data Science, Applied Mathematics or Physics, Engineering, Economics & Finance or related.
• English level: Mid – High
• Master Degree: desirable

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Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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