Citi Group Business Intelligence Analyst 

Mexico, Mexico City 

888335215

Responsibilities:

• This function covers incumbents responsible for various data activities, which include database administration, data analysis, maintenance, data quality, and database management or database architecture / design engineering
• Responsible for routine operational or administrative work
• Day-to-day actions are focused on administering defined procedures, analyses and report preparation
• Individuals will have their work thoroughly reviewed and checked by more senior incumbents and will have limited contact outside their immediate area
• Daily deliverable of routine and defined outputs, while at the same time developing knowledge of the broader context in which the work is being performed
• 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
• Know-how on analytic tools (SAS E-miner, Knowledge Seeker, SPSS etc.)
• Big data and machine learning experiences are (R, Python etc.)
• The ability to engage resources outside of their direct control to achieve objectives

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.

Responsibilities

• Implement feature requests according to product roadmap.
• Disposal to work with epics, features and tasks with agile methodologies.
• Learn to analyze business requirements and translates them into high level design.
• Clearly articulates rationale for decisions from business to technical.
• Design, develop, and deliver ad-hoc dashboards using BI tools, such as Tableau and Cognos.
• Positive attitude to learn and provide best practices to self-service users.
• Define quality criteria for data presentation in BI platforms.
• Work with business teams of BI and Data professionals across the organization.
• Collaborates within the technical teams such as Data Architects, Data Modelers, ETL Developers, BI Developers, Project Managers, and Platform Architects.
• Propose innovative self-service flows and strategies to improve Tableau and Cognos platforms adoption.
• Create and support the BI documentation guidelines.
• Lead meetings and working sessions to solve issues, challenges and risks by factoring input from partners and diverse points of view.
• Participate in meetings with decision makers, technology owners, vendors, and end users to implement goals and requirements.
• Keep track of new industry trends for the continuous improvement process.

Requirements

• Bachelor’s Degree in Computer Science, Computer Engineering, Data Analytics, Information Systems, or related discipline.
• Familiarity in relevant structured/unstructured data technologies: Big Data environment tools, Relational Databases Systems and SQL like Teradata or Oracle, at least one scripting language (Python, R) and in BI enterprise reporting tools, such as Tableau, Cognos. Familiarity in any other data tool is a plus.
• Desired: Knowledge in any BI tools or academic background in data analytics environment.
• Desirable familiarity with the usage of agile Atlassian tools (JIRA and Confluence).
• Help to assess whether a data tool is viable to use.
• Document data platforms processes and automation guidelines with a user perspective.
• Willing to understand and learn from consumer financial services industry. General knowledge of statistical techniques to apply them and drive substantial business results.
• Interest in designing and supporting self-service development workflows.

• Strong presentation skills, business and technical writing and verbal communication skills to support decision-making and actions.
• Outstanding problem-solving and critical thinking skills to recognize and comprehend complex data flows and designs.
• Team spirit and strong communication abilities.
• Strong English skills (desirable).

Time Type:

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