Data Science Intmd Analyst

The Data Science Intermediate 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 subfunction/ 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**:- Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis- Mines and analyzes data from various banking platforms to drive optimization and improve data quality- Delivers analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan- Consults with business clients to determine system functional specifications. Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business objectives- Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards; recommends solutions- Formulates and defines systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards- Impacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teams- Drives communication between business leaders and IT; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information- Performs other duties and functions as assigned**Qualifications**:- 2-5 years experience using tools for statistical modeling of large data sets- Ability to effectively use complex analytical, interpretive and problem solving techniques- Analytical, flexible, team-oriented and has good interpersonal/communication skills- Demonstrated influencing, facilitation and partnering skills- Proficient in Microsoft**Education**:- Bachelor’s/University 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.- Deseable experiência en core bancario- Experiência básica programando en python y spark- Conocimiento de Dataiku- Experiência con SQL- Conocimientos básicos en Hadoop, Linux, Hive, HUE- Amplio entendimiento de modelos analíticos basados en Machine Learning- Excelente actitud y estilo proactivo- Pasión por aprender- Inglés intermedio**Job Family Group**:Technology- **Job Family**:Data Science- **Time Type**:Full time- Citi is an equal opportunity and affirmative action employer.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.View the "**EEO is the Law**" poster. View the **EEO is the Law Supplement**.View the **EEO Policy Statement**.View the **Pay Transparency Posting