Senior Business Intelligence Analyst
3 weeks ago
The Senior Business Intelligence Analyst will work closely with the 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).
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.
Key Responsibilities- Develop consistent and coherent sets of models and analytical tools for credit risk measurement, management and reporting.
- 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.
- Analyze business processes, recommend changes that improve outcomes, influence stakeholders to build consensus, and implement approved changes.
- Build and / or maintain Documentation Libraries and Catalogs 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.
- 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.
- 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.
- 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
- 8 years Business Intelligence Analyst, Data Analyst, Business analyst or equivalent And
- 5 years Banking or Financial Institution experience And
- 3 years Credit / Current Expected Credit Loss / Credit Portfolio Monitoring And
- 3 years Knowledge of SQL, Power/BI, Python, R
- 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.
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