HSBC Data Analyst in New York, New York
Role to assist the successful delivery of projects and sprints which requires getting data from a variety of different sources, getting it in the right formats, assuring that it adhere to data quality standards, and assuring that downstream users can get that data quickly. This role usually functions as a core member of an agile team.
The candidate will be responsible for insight from raw data and handling diverse sources of data seamlessly. Additional responsibilities will include developing prototypes and proof of concepts for the selected solutions with a focus on collecting, parsing, managing, analyzing and visualizing large sets of data using multiple platforms.
These professionals should have knowledge of data analysis, end user requirements analysis, and business requirements analysis to develop a clear understanding of the business needs and to incorporate these needs into business solutions.
These individuals must work well in a dynamic team environment.
Being open and approachable for new requirements and enthusiasm for improvement and coaching more junior colleagues within the team
Develop and support a wide variety of information deliverables in both ad hoc and production fashion
Implement profitability algorithms, segmentation schemes and propensity to purchase models
Work with internal clients to translate complex business requirements into data models and outputs for reporting and deployment, including Qlik based visualization
Develop a deep knowledge of data sources required to make recommendations on information to be extracted to meet the business deliverables
Extract, clean and validate data relevant to analyses
Blend required data and transform with required business criteria and logical specifications to develop and produce key outputs including data for visualization team
Effectively document assumptions, methodology and validation techniques to meet audit requirements
Aide in build out and ongoing enhancements of long-term data infrastructure that can be leveraged for analytical insights and prediction-based models
Assist in identifying and connecting additional data sources to new and existing Business Intelligence environments.
Provide thought leadership and technical mentorship to your teammates.
Leadership & Teamwork
Support achievement of the HSBC vision, Values, goals and culture in personal behavior, actions and decision making
Provide technical leadership and support technical excellence by searching out external and internal best practice, monitoring technical and professional developments, sharing knowledge and encouraging others to do the same in the best interests of HSBC and its customers
Encourage and enable constructive cross-country and cross-business teamwork by demonstrating collaboration and matrix management in action and challenging actions and behaviors that are not consistent with HSBC's diversity policy and/or the best interests of the business and its customers
Entrepreneurial job in professional team
Interesting path of career in an international organization
Must have significant experience working with multiple datasets with a high degree of complex relationships
Experience with integration of data from multiple data sources
Experience with BI Tools. Python and R ideal
Experience with data analysis (data lineage, metadata, data quality and governance) and Data Modeling (conceptual, logical and physical) activities
Commercial Banking industry experience is a plus
University graduate followed 3 experience,
Experience in Agile type methodologies will be an advantage,
Prior working experience in a bank or a financial institution will be an advantage but not a must,
Ability to work in changeable environment,
Curiosity and learning capabilities,
Strong written and verbal communications skills
Advanced ability to articulate analytical processes and results
Strong qualitative and quantitative analytical skills
Job Field: Commercial Banking
Primary Location: North America-United States-New York-New York
Shift Day Job
Type of Vacancy Country vacancy
Req ID: 0000B9K6