Business Intelligence Analyst III

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Support Miramar, FL, US

3 days ago Requisition

Responsible for business analysis using data science and business intelligence techniques. Transforms raw data into actionable insights that support strategic decision-making. Create outstanding visualization within approved visualization tools, in addition to automating reporting and conducting ad hoc analysis. The person in this role will be responsible for developing, leveraging and implementing out-of-box models of advanced statistical, descriptive, and predictive models (machine learning, supervised, unsupervised, classification, regression, and time series) for business needs.

This position analyzes, proposes, and generates predictive and descriptive insights to create business opportunities. This role entails deep knowledge and business acumen in the financial industry.

This person will need to display and implement proper methodology for analysis and model cycles ensuring timely tracking, documentation, reproducibility, scalability, and insights that are actionable and used to improve future business initiatives, challenges and efforts.

Responsibilities:

Technical & Analytical

Skills:

• Strong analytical and problem-solving skills with an ability to interpret complex data sets.
• Develop and maintain dashboards, reports, and visualizations using approved BI tools like Power BI, Tableau
• Analyze complex datasets to identify patterns, trends, and anomalies
• Ensure data accuracy, integrity, and security across platforms
• Familiar with Git version control and development environments
• Contribute to data quality, accuracy, and accessibility by ensuring data integrity and security.
• Identify areas for improvement and recommend solutions based on data analysis

Analytics and Predictive Modeling

• Build statistical, descriptive and predictive models using statistical techniques, such as logistic regression, clustering, principal components analysis, decision trees, correlation analysis, etc., looking to understand patterns, predict behavior, customer profiles, forecasting, among other challenges, with the purpose of minimizing the risk while increasing the bank’s revenue.
• Stay abreast of emerging machine learning and data science technologies.
• Identify and uncover business opportunities from data mining and analytical studies and tasks.
• Support the automation of the information requirements from the lines of business.
• Responsible for supporting ad-hoc and special project requirements of the area’s Manager.

Communication

Skills:

• Excellent written and verbal communication skills to present findings effectively in a compelling manner.

Project Management and Leadership:

• Proven ability to manage projects independently, prioritize effectively in a fast-paced environment, and find creative solutions.
• Leverage on personal relations to expedite and influence outcomes.

Collaboration and Teamwork:

• Collaborate effectively with cross-functional teams and internal stakeholders to identify business needs and address challenges to define business requirements and translate them into data solutions.
• Team player that can take feedback to constantly do better.
• Collaborate with the Model Risk Management (MRM) Unit with the validation of the models, providing the required documentation, executing back testing, and on-going model monitoring.
• Perform special projects as assigned.
• Work with cross-functional teams, including data scientists, engineers, and business users, to ensure data-driven decision-making
• Ability to work collaboratively in a team environment and manage multiple projects simultaneously.

Business…