Firstnational is seeking a Senior Data Analyst with expertise in commercial credit data management to deliver actionable insights through data analysis. The role requires strong project management skills and proficiency in Python, SQL, and Power BI.
At FNBO, our employees are the heart of our story-and we're committed to their success! Please see below the details of this career opportunity and how it fits into our organization's success. Summary of the Job: We are seeking a Senior Data Analyst with 3-5 years of experience in data management and systems processes, specifically within the commercial banking sector. The ideal candidate will have a thorough understanding of credit data management systems, preferably in commercial credit or credit card sectors. This role demands a professional adept at navigating the full data lifecycle-collection, cleaning, transformation, and visualization-and capable of handling datasets of varying sizes and complexities to deliver precise and actionable insights. Applicants should demonstrate a robust knowledge of commercial loan underwriting systems and advanced technical skills for managing complex data. Strong project management abilities are crucial, as this position requires significant cross-functional collaboration to achieve optimal outcomes. About This Role: Key Responsibilities: • Collaborate across business units to understand and analyze credit data, ensuring data insights that align with business objectives. • Demonstrate exceptional ad hoc data analysis skills, effectively managing and analyzing small, mid-sized, and large datasets across various timeframes. This includes understanding both the evolution of data over time and snapshot analyses to capture specific moments or trends. Document these processes clearly to enable other users to easily understand and continue the work. • Implement best practices in data handling, processing, and reporting to optimize the efficiency and reliability of the credit data system. Ensure that these practices meet industry standards and support strategic business goals. • Utilize Python and SQL for data analysis and report generation. Additionally, leverage low-code tools such as Microsoft Power BI, Microsoft Excel's Power Query, and Power Pivot for ETL (Extract, Transform, Load) and data querying. Proficiency with DAX (Data Analysis Expressions) for creating advanced calculations in Power BI is also highly valuable. • Apply expertise in commercial loan underwriting processes to improve data analysis frameworks and system integrations. • Employ effective project management techniques to coordinate data-related projects across multiple departments, ensuring timely delivery of outcomes. The Ideal Candidate for This Role: Qualifications: • Bachelor's degree in Information Systems, Data Science, Computer Science, Finance, Accounting, or a related field required. • 3-5 years of relevant experience in data systems within the commercial banking industry. • Proficiency in Python and SQL with at least 1-2 years of practical application. • Experience with Microsoft Power BI, Microsoft Excel's Power Query, and Power Pivot. • Strong understanding of the data querying process and principles of data management. • Excellent communication skills, able to effectively liaise with various stakeholders. • A well-balanced technical and business acumen, with an understanding of commercial credit processes. Candidates must possess unrestricted work authorization and not require future sponsorship. Compensation: Compensation range (base pay): $80,061.00-$132,099.00 This role may have a specific starting pay within this range. Final compensation offer to candidate may vary from posted hiring range based upon work experience, education, and/or skill level. Work Environment: It is anticipated that the incumbent in this role will work in a hybrid capacity, balancing in-person collaboration three (3) days a week with remote flexibility two (2) days a week. As part of our team, you'll experience the energy and relationship-building of face-to-face collaboration while still enjoying the flexibility of remote workdays. We provide the tools and technology to ensure seamless transitions between work environments, supporting your productivity wherever you are. Please note that work location is subject to change based on business needs. Benefits Overview: We offer a variety of benefits designed to keep you and your family physically and financially healthy. Not only do we offer a competitive salary and work-life balance, we offer benefits to match your needs: • Medical, Dental, Vision Insurance • 401k, With Matching Contributions • Time Off Programs • Health Savings Account (HSA)/Dependent Care • Employee Banking • Growth Opportunities • Tuition Assistance • Short-Term/Long-Term Disability Insurance Learn more about FNBO benefits here: https://www.fnbo.com/careers/benefits/. For additional information regarding compensation and benefits, e-mail FNBO at TAGAdmin@fnni.com. To ensure you receive a response, include the number of this job (listed below) in the subject line of your message. Job number: R-20251300 Equal Opportunity & Belonging: FNBO believes that the quality of our employee experience is at the heart of our customer experience. One key pillar of our intended employee experience is Belonging. Belonging means we are committed to fostering a workplace culture where employees of all backgrounds feel valued, recognized, and empowered to be their authentic selves-no matter their role or where they are in their journey. Learn more here. FNBO is an equal opportunity employer for all employees and applicants and makes employment decisions without regard to status or identity. Click here to download 'EEO is The Law' Self-Print Poster Click here to download 'EEO is The Law' Supplement for Federal Contractors Click here to download 'EEO is The Law' GINA Supplement FNBO is an Equal Opportunity/Affirmative Action/Veterans/Disability Employer - Member FDIC FNBO follows federal law regarding the use of marijuana (this applies to all non-California applicants) Application Deadline: All our jobs will be posted for a minimum of 5 calendar days. Job postings may come down prior to 5 calendar days based on volume of applicants.
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