IT Data Analyst at First Electronic Bank

Salt Lake, New Mexico, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Jun, 26

Salary

0.0

Posted On

14 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Dashboard Development, Data Collection, Data Interpretation, KPI Monitoring, Process Improvement, Data-Driven Strategies, Data Audits, Data Validation, Stakeholder Communication, Object-Oriented Programming, Excel, MS SQL, Power BI, Python, ETL Processes

Industry

Banking

Description

Description At First Electronic Bank (FEB), we are driven by the purpose to make credit accessible to everyday Americans, and their businesses. Partnering with some of the most innovative FinTech companies in the nation, we offer a wide range of consumer and commercial credit products on a national basis. Offering revolving lines of credit, private-label credit cards, installment financing programs and more, FEB’s engages with strategic, collaborative partnerships, promoting services and products to provide the most beneficial consumer and commercial financing solutions. In today’s technology-driven environment, First Electronic Bank and its partners provide innovative financial products to consumers and businesses across the country — especially those with limited access to traditional credit. We are committed to building products and programs that support customers and businesses while creating value for the Bank and our strategic partners. To support these objectives, teams across the Bank regularly review reporting systems and dashboards that support our lending programs. We are seeking a Data Analyst to help develop and enhance these reports and dashboards. The Data Analyst will collect, analyze, and interpret data to help optimize operational processes and support decision-making across the organization. This role works closely with multiple departments, identifying areas for improvement and providing clear, data-driven insights. The ideal candidate has strong analytical skills, high attention to detail, and the ability to communicate complex information in a clear and concise way. What You’ll Do: Collect and analyze data from various operational sources to identify trends, patterns, and anomalies. Develop and maintain dashboards, reports, and visualizations to monitor key performance indicators (KPIs). Collaborate with cross-functional teams to understand their data needs and provide actionable insights. Identify opportunities for process improvement and operational efficiencies based on data analysis. Assist in the development and implementation of data-driven strategies to optimize performance and achieve business objectives. Ensure data accuracy and integrity by performing regular data audits and validations. Communicate findings and recommendations to stakeholders through presentations and written reports. Prepare documentation on all projects to enable peer review and ensure continuity of data product quality. Stay up-to-date with industry trends and best practices in data analysis and operations management. Identify issues related to data, data sources and data processing. Maintain a deep understanding of key metrics that drive loan performance and the inter-relationships between those metrics Conduct ad hoc analyses as needed to support Bank wide initiatives Other duties as assigned. Requirements What We're Looking For: Bachelor’s degree in statistics, mathematics, information systems, computer science, finance, information management, economics or similar of 4 years of work experience in the field. Prior experience analyzing data sets. Financial services experience preferred. 1-2 years of experience with Object-Oriented Programming, along with strong skills in Excel, MS SQL, and Power BI for data analysis and visualization. Technical Skills Proficient in using business intelligence (BI) tools to analyze and generate reports from diverse data sources, providing actionable insights to support data-driven decision-making. Proficiency in database management, with a deep understanding of data structures and relationships, and hands-on experience using Python and SQL for data manipulation and analysis. Experience with ETL processes for data integration and transformation. Demonstrated experience and proficiency in using Office 365 tools for effective communication and collaboration, including but not limited to Microsoft Teams, SharePoint, and OneDrive Strong analytical and problem-solving skills with the ability to interpret and analyze complex data sets. Meticulous attention to detail and a strong commitment to ensuring data accuracy and integrity. Proficiency in learning and adapting to new systems and tools as required. Solid database management skills, including a thorough understanding of Python and SQL data relationships and structures. Ability to gather and document requirements effectively from end-users. Expertise in troubleshooting and validating workflows to ensure seamless operations. Experience in administering and managing CRM/ERP environments, including setup, configuration, customization, and maintenance. Functional Skills Clear communication skills; verbal, written, and presentation development. The ability to read, interpret and critique technical documentation with strong attention to detail. Ability to complete milestones and work toward multiple deadlines simultaneously. Excellent multitasking skills and task management strategies. Interpersonal and customer service skills are required when meeting with clients. Experience working with private and sensitive personal information. Confident in decision making and the ability to explain processes or choices as needed. Familiarity with financial regulations is a strong plus. This position is considered hybrid and is located in our Salt Lake City office.

Responsibilities

The Data Analyst will collect, analyze, and interpret data from various operational sources to identify trends and anomalies, developing and maintaining reports and dashboards to monitor key performance indicators. This role involves collaborating with cross-functional teams to provide actionable insights, identify process improvements, and assist in developing data-driven strategies.