Senior Business Intelligence Analyst

The Sr. Business Intelligence Analyst will work with Credit Admin / Credit Risk / Model Dev team leaders and specialists to understand business goals and needs and translate these into requirements and solution designs with a focus on driving business value and positive outcomes.

This role is responsible for developing consistent and coherent sets of analytical tools - design, development, implementation, and control designs for credit risk (e.

g. portfolio stress testing and Current Expected Credit Losses (CECL) accounting used for the Allowance for Credit Loss, and concentration correlation analyses).

In this role, the incumbent will take lead analyst roles in BI projects driving requirements definitions, documentation efforts and as necessary report creation, queries, etc.

to support Credit Admin team needs. This role is integral as a liaison among stakeholders and project teams helping to enhance Data team performance.

Essential Functions

Responsible for developing consistent and coherent sets of models and analytical tools for credit risk measurement, management and reporting.

Activities range from analytical tool design, development, implementation, and control designs used for understanding credit risk, such as portfolio stress testing and the Current Expected Credit Losses (CECL) accounting used for the Allowance for Credit Loss, and concentration correlation analyses

• Interview Credit Admin / Credit Risk team stakeholders to identify business needs and translate these into requirements and solution designs with a focus on driving business value and positive outcomes.
• Interview users to understand how they do their jobs and what they need from data systems to improve performance, deliver on functional enhancements, monitor portfolios, etc.
• Analyze business processes, recommend changes that improve outcomes, influence stakeholders to build consensus, and implement approved changes
• Build and / or maintain Documentation Librar(ies) and Catalog(s) to ensure that such documentation is available upon request by management, regulators, and internal and external auditors
• Monitor data environment builds, executions, execution run-times, change developments, change implementations, and workplans.
• Develop quantitative modeling other than CECL, such as loss forecasting, predictive risk rating models, stress testing, and profitability analysis.
• Take the lead in developing and implementing predictive analytical tools, ad hoc analyses, visual / interactive reporting, segmentation analysis, and process automation.

Identify the problem, provide potential solutions, and design the model construct

• Translate business goals, user needs and process improvements into data management functions and requirements
• Explain the value, capabilities and limitations of data systems to business managers and users as the project is designed and built
• Lead individual and group project designs, wireframes, and mockups of analytic dashboards, visualizations, scorecards, stack rankings, and reports, and provide approved technical specifications to developers
• Analyze and structure data to implement enterprise data management goals of identifying, storing, processing, provisioning and governing data
• Ensure data quality by validating data to assess fitness for use, identifying and directing remediation of issues, and completing quality assurance testing
• Follow Data Governance procedures to ensure that data and data based processes are appropriately managed
• Work with Enterprise data warehouse, analytical cubes, metadata and master data management to provide business insights for decision making
• Analyze and complete project requests
• Troubleshoot and resolve data issues

Additional Essential Functions

• Ensure compliance with Northwest’s policies and procedures, and Federal / State regulations
• Navigate Microsoft Office Software, computer applications, and software specific to the department in order to maximize technology tools and gain efficiency
• Work as part of a team
• Work with on-site equipment

Additional Responsibilities

Complete other duties and special projects as requested

Safety and Health for those without supervisory duties

• Abide by the rules of the safety and loss prevention program
• Perform work tasks in a safe manner
• Report any and all injuries to supervisor
• Know what to do in case of an emergency

QUALIFICATIONS

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and / or ability required.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Education

Master's Degree Finance, Statistics or Quantitative field required and CECL experience required Or

Bachelor's Degree Finance, Statistics, Quantitative field or Information Technology required and experience in credit administration, CECL, and data Or

Work Experience

6 - 8 years Business Intelligence Analyst, Data Analyst, Business analyst or equivalent And

3 - 5 years Banking or Financial Institution experience And

2 - 3 years Credit / Current Expected Credit Loss / Credit Portfolio Monitoring And

2 - 3 years Knowledge of SQL, Power / BI, Python, R

General Employee Knowledge, Skills, and Abilities

• Ability to establish effective working relationships among team members and participate in solving problems and making decisions
• Ability to present and express ideas and information clearly and concisely in a manner appropriate to the audience, whether oral or written
• Ability to actively listen to what others are saying to achieve understanding, sharing information with others and facilitating the open exchange of ideas and information
• Ability to establish courses of action for self to accomplish specific goals, develop and use tracking systems for monitoring own work progress, and effectively use resources such as time and information
• Ability to make right decisions based on perceptive and analytical processes, practicing good judgment in gray areas

Additional Knowledge, Skills and Abilities

Ability to analyze data using Microsoft Excel or any other equivalent tool

Ability to analyze data using SQL and Microsoft Power BI

Ability to analyze and document requirements

Ability to analyze, design and develop reports, scorecards and dashboards

Knowledge working with any data warehouse system and is any master data management (MDM) system

Knowledge of working with any customer relationship management (CRM) system e.g. Dynamics CRM, etc and Microsoft SharePoint

Licenses and Certifications

CBAP (or equivalent) Upon Hire And

Microsoft Certified : Power BI Data Analyst Associate or equivalent Within 1 year Or

Microsoft Certified : Azure Data Engineer Associate or

Microsoft Certified : Azure Data Scientist Associate or equivalent Within 1 year

Additional Licenses and Certifications

Completion of Certifications within 1 Year