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Northwest Bank

Regional community bank serving local residents

Senior Business Intelligence Analyst - BI

Business IntelligenceConfirmed live in the last 24 hours
Full-timeWarren, PA, USANo salary listedIn-person

About the Job

Requirements

  • A master's degree in Finance, Statistics, or a Quantitative field, or a bachelor's degree in Finance, Statistics, a Quantitative field, or Information Technology.
  • Six to eight years of experience as a Business Intelligence Analyst, Data Analyst, Business Analyst, or equivalent.
  • Three to five years of experience in banking or a financial institution.
  • Two to three years of experience with credit, Current Expected Credit Loss, or credit portfolio monitoring.
  • Two to three years of knowledge of SQL, Power BI, Python, and R.
  • Experience in credit administration, Current Expected Credit Loss, and data for the bachelor's-degree pathway.
  • Ability to analyze data using Microsoft Excel or an 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 of a data warehouse system and a master data management system.
  • Knowledge of a customer relationship management system, such as Dynamics CRM, and Microsoft SharePoint.
  • CBAP or equivalent certification upon hire.
  • Microsoft Certified: Power BI Data Analyst Associate or equivalent within one year, or Microsoft Certified: Azure Data Engineer Associate, or Microsoft Certified: Azure Data Scientist Associate or equivalent within one year.
  • 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 for the audience, orally and in writing.
  • Ability to actively listen, share information, and facilitate an open exchange of ideas and information.
  • Ability to establish courses of action, develop tracking systems for monitoring work progress, and effectively use time and information.
  • Ability to make sound decisions based on perceptive and analytical processes and judgment in gray areas.

Responsibilities

  • Interview stakeholders and users to understand business goals, job processes, and data-system needs.
  • Formulate technical requirements and document requirements and solution designs so developers have the information needed to complete build and testing.
  • Design analytical tools, develop reports, support implementation, and create control designs for risk, credit portfolios, deposits, portfolio stress testing, marketing opportunities, accounting, and concentration correlation analyses.
  • Analyze business processes, recommend changes that improve outcomes, influence stakeholders to build consensus, and implement approved changes.
  • Support business partners in using the Data Environment by helping them learn data tables, content, Power BI, and Azure.
  • Build and maintain documentation libraries and catalogs for management, regulators, and internal and external auditors.
  • Monitor data-environment builds, executions, execution runtimes, change development, change implementation, and workplans.
  • Develop quantitative models other than Current Expected Credit Loss, including loss forecasting, predictive risk-rating models, stress testing, and profitability analysis.
  • Lead the development and implementation of predictive analytical tools, ad hoc analyses, visual and interactive reporting, segmentation analysis, and process automation.
  • Identify problems, provide potential solutions, and design model constructs.
  • 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 during project design and build.
  • Lead individual and group project designs, wireframes, and mockups for 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 for identifying, storing, processing, provisioning, and governing data.
  • Validate data quality and fitness for use, direct remediation of issues, and complete quality-assurance testing.
  • Follow data-governance procedures to ensure data and data-based processes are appropriately managed.
  • Work with the 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.
  • Ensure compliance with company policies and procedures and federal and state regulations.
  • Use Microsoft Office software, computer applications, and department-specific software to maximize technology tools and efficiency.
  • Work as part of a team and work with on-site equipment.
  • Abide by safety and loss-prevention procedures, perform tasks safely, report injuries to a supervisor, and follow emergency procedures.

About the Company

Northwest Bank

Regional community bank serving local residents

Northwest Bank serves communities in Pennsylvania and Ohio as a regional bank offering personal and business banking services such as checking, savings, loans, and online/mobile banking. Customers manage money by opening accounts, applying for loans with terms based on credit and need, and using online or mobile tools to view balances, transfer funds, and pay bills. It stands out with a long local history dating back to 1896, a community focus, growth through regional acquisitions (including Lorain National Bank in 2015), and a 2018 rebrand to modernize its image and digital presence. Its goal is to provide accessible, reliable banking and digital capability to residents and businesses, supporting local economies and steady, responsible growth.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Warren, PA
Founded
1896

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