Business Analytics Analyst
hace 3 semanas
Team/Function Overview:
Use Cases is a cross-sectional area within Data and Analytics dedicated to high impact projects that are a priority for the business. Based on cross-functional teams (with Product, Segment, Risk, Behavioral Economics, etc.) we analyze, design and implement new strategies through an Agile methodology, characterized by flexible self-organized teams, with constant delivery of results.
Key Responsibilities:
Work together with other areas of the Bank (Product, Segment, Risk, Behavioral Economics, etc.) in order to design and implement new strategies within GCB. Identify high impact opportunities and propose strategies that will translate into portfolio growth and incremental revenues, through statistical techniques and models. Data analysis from various sources/categories (demographic, financial, Credit Bureau, transactional, social media, etc). Development of analytical tools which will help us to have a better understanding of our customers and the market. Valuation and tracking of key initiatives.
Qualifications:
Skills/Competencies:
Strong analytical skills Ability to translate numbers into actionable strategies Skills and interest in programming and statistical analysis (experience with SAS, SQL, R and/or Python - desirable) Experience in data mining and predictive modeling – desirable Self-organized, collaborative, proactive and creative Negotiation, leadership and communication (storytelling and data visualization) skills are highly valuedEducation:
Bachelors/University degree or equivalent experience
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Use Cases is a cross-sectional area within Data and Analytics dedicated to high impact projects that are a priority for the business. Based on cross-functional teams (with Product, Segment, Risk, Behavioral Economics, etc.) we analyze, design and implement new strategies through an Agile methodology, characterized by flexible self-organized teams, with constant delivery of results.
Key Responsibilities:
Work together with other areas of the Bank (Product, Segment, Risk, Behavioral Economics, etc.) in order to design and implement new strategies within GCB. Identify high impact opportunities and propose strategies that will translate into portfolio growth and incremental revenues, through statistical techniques and models. Data analysis from various sources/categories (demographic, financial, Credit Bureau, transactional, social media, etc). Development of analytical tools which will help us to have a better understanding of our customers and the market. Valuation and tracking of key initiatives.Requirements/Qualifications:
Bachelor in Actuarial Science, Mathematics, Engineering, Economics or related (could be in the last semester). No professional experience is required. English level: at least 70%Skills/Competencies:
Strong analytical skills Ability to translate numbers into actionable strategies Skills and interest in programming and statistical analysis (experience with SAS, SQL, R and/or Python - desirable) Experience in data mining and predictive modeling – desirable Self-organized, collaborative, proactive and creative Negotiation, leadership and communication (storytelling and data visualization) skills are highly valued------------------------------------------------------
Job Family Group:
Decision Management------------------------------------------------------
Job Family:
Specialized Analytics (Data Science/Computational Statistics)------------------------------------------------------
Time Type:
Full time------------------------------------------------------
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