Senior Business Intelligence (BI) Analyst

Northwest Bank; Warren (MI); On-site; USD 110,000 - 140,000; Full time

Job summary

Northwest Bank is seeking a Sr. Business Intelligence Analyst to translate business goals into robust analytical solutions across risk, credit admin, and model development teams. You will lead requirements, design, and reporting efforts to deliver concrete business value.

The role emphasizes liaison work among stakeholders, data governance, and the development of predictive tools, dashboards, and stress-testing analyses to support decision making.

Qualifications

• Master’s or Bachelor’s degree in Finance, Statistics, or related quantitative field.
• 3–5 years Banking/Financial Institution experience; CECL, credit risk knowledge favored.
• 6–8 years in BI/Data Analyst roles and related analytics experience.

Responsibilities

• Elicit and translate business goals into technical requirements and analytic designs.
• Lead requirements documentation, reports, queries, and dashboards for risk and credit portfolios.
• Develop predictive models and stress testing analyses to support loss forecasting and profitability insights.
• Collaborate with data teams to ensure data quality and governance.
• Create and maintain analytic dashboards and data visualizations for stakeholders.

Skills

Data analysis

Stakeholder communication

Problem solving

Time management

Education

Master’s degree in Finance, Statistics or Quantitative field

Bachelor’s degree in Finance, Statistics, Quantitative field or IT

Tools

SQL

Power BI

Python

R

Job description

PA0738 Processing Center

Job Description

The Sr. Business Intelligence Analyst will work with Risk / 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 requirements for analytical tools – requirements, design, validation, implementation, and control designs for business partners (e.g. portfolio stress testing, deposit forecasting, loan portfolio analysis, etc.).

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

Essential Functions

• Interview stakeholders to understand business goals and needs, formulate technical requirements, which satisfy the business requests, document requirements and solution designs with a focus on ensuring developers have all the information necessary to complete build / test. Activities range from analytical tool design, some report development, implementation, and control designs used for understanding risk, credit portfolios and deposits, such as portfolio stress testing, marketing opportunities, accounting, concentration correlation analyses, etc.
• Interview 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
• Support business partner usage of the Data Environment through helping business partners learn data table and content, Power B/I, using Azure; that will begin the development of a data culture at Northwest
• 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

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

Education

• Master’s Degree Finance, Statistics or QuantitativeOr
• Bachelor’s Degree Finance, Statistics, Quantitative field or Information Technology required and experience in credit administration, CECL, and dataOr

Work Experience

• 6 - 8 years Business Intelligence Analyst, Data Analyst, Business analyst or equivalentAnd
• 3 - 5 years Banking or Financial Institution experienceAnd
• 2 - 3 years Credit / Current Expected Credit Loss / Credit Portfolio MonitoringAnd
• 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
• Microsoft Certified: Power BI Data Analyst Associate or equivalent within 1 year
• Microsoft Certified: Azure Data Engineer Associate
• Microsoft Certified: Azure Data Scientist Associate or equivalent within 1 year

Additional Licenses and Certifications

• Completion of Certificationswithin 1 Year

Northwest is an equal opportunity employer. We are committed to creating an inclusive environment for all employees.