Business Analytics

The Spec Analytics Intmd Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the sub function/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.Responsibilities:Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategiesIdentifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomesResponsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniquesIncumbents in this role may often be referred to as Data ScientistsSpecialization in marketing, risk, digital and AML fields possibleAppropriately 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:5-8 years relevant experienceHave the ability to retrieve and manipulate dataPossess analytical ability and problem solving skillsWorking experience in a quantitative fieldWilling to learn and can-do attitudeExcellent communication and interpersonal skills, be organized, detail oriented, flexible and adaptive to matrix work environmentAbility to build partnerships with cross-function leadersEducation:Masters/Post Graduate degree or equivalent experienceThis job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.5+ years of relevant experience, preferred financial domain knowledgePreferred Digital Marketing and/or Digital Experience domain knowledgeProficient in Python/Pyspark, SQL and hands-on experience on big data environment like HadoopHands-on experience on Statistical techniques and Predictive modeling using Machine Learning like - Lookalike analysis, Decision Tree, Logistic Regression etc.Proficient in MS Excel, PowerPoint Job Family Group: Decision Management Job Family:Specialized Analytics (Data Science/Computational Statistics) 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. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.View Citi's EEO Policy Statement and the Know Your Rights poster.