BANAMEX Analista de Datos Jr. (Uses Cases)

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Job Overview

The Spec Analytics Analyst is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Identifies policy gaps and formulates policies. Interprets data and makes recommendations. Researches and interprets factual information. Identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Develops working knowledge of industry practices and standards. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own team.

Responsibilities:

• Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
• Identifies 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 outcomes
• Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques
• Incumbents in this role may often be referred to as Data Scientists
• Specialization in marketing, risk, digital and AML fields possible
• 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:

• 0-2 years relevant experience
• Have the ability to retrieve and manipulation data
• Possess analytic ability and problem solving skills
• Working experience in a quantitative field
• Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment
• Ability to build partnerships with cross-functional teams

Education:

• 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

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Job Family Group:

Decision Management

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Job Family:

Specialized Analytics (Data Science/Computational Statistics)

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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