Job details
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.
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
QUALIFICATIONS
Experience:
Bachelor’s Degree with 7-10 years of experience in data analytics, or Master’s Degree with 6-10 years of experience in data analytics, or PhD.
Must have:
Marketing analytics experience
Experience on business problems around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention
Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc.
Predictive modeling using Machine Learning
Experience with unstructured data analysis, e.g. call transcripts, using Natural language Processing (NLP)/ Text Mining
Good to have:
Experience in financial services
Experience working with data from different sources and of different complexity
Skills:
Analytical Skills:
Ability to understand complex business problems, break them down into simpler solvable parts and develop analytical approaches to tackle them
Strong logical reasoning and problem-solving ability
Proficient in converting business problems into analytical tasks, and analytical findings into business insights
Proficient in identifying trends and patterns with data
Tools and Platforms:
Proficient in Python/R, SQL
Experience in Hive
Proficient in MS Excel, PowerPoint
Good to have:
Experience with PySpark
Experience with Tableau
Soft Skills:
Ability to drive clear and comprehensive communication flow between business stakeholders and the team and vice versa, translating analytical findings into key insights and actionable recommendations
Building and managing high performance teams
Ability to coach and mentor team members on an ongoing basis
Ability to drive ideation on analytical projects to tackle strategic business priorities
Comfort on working with ambiguity and open-ended questions
Strong process/project management skills
Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.
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Job Family Group:
Decision Management------------------------------------------------------
Job Family:
Business Analysis------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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