Job Description
Job Description
At First PREMIER Bank and PREMIER Bankcard, we've created a culture that emphasizes personal success, respect, health, and wellness, fun and giving back. This is an environment where you will be rewarded, valued, and celebrated for your hard work.
We offer a robust and expanded package of health benefits, incentives, paid time off and growth and career advancement opportunities. We celebrate our employees and show our appreciation with private concerts, outdoor bashes, cash and car giveaways and more! See some of our epic celebrations and employee recognitions.
Considered one of the nation's strongest financial organizations, we've achieved our success by embodying the views and values of The PREMIER Way. From our CEOs to the newest hires, we all follow these shared views and values to guide us on how to treat our customers, co-workers and communities. The PREMIER Way also serves as a roadmap on how to be successful inside and outside of the workplace. We believe in investing in our employees, their families and our communities.
Job Description: Job Purpose: Drive data-driven insights and optimize risk strategies for our credit card portfolio. Responsible for analyzing complex data sets, identifying trends, and providing actionable recommendations to enhance risk processes and improve overall financial performance. Leverage experience and expertise in data science, analytics, and consumer finance to support the development and implementation of innovative solutions that align with the company's strategic goals.
Primary Responsibilities: Essential duties and responsibilities include the following. Other duties may be assigned. - Understand both data and business operations to formulate questions, analyze, and deliver insights to executives on potential changes to operations, products, or services.
- Seek out business opportunities using data and provide actionable recommendations to management.
- Conduct independent research, assess priorities, and adapt to changing needs with minimal supervision.
- Identify and develop advanced analytical techniques to respond proactively to market dynamics.
- Utilize cloud data environments and tools such as Snowflake, Tidal, and DBeaver.
- Apply both qualitative and quantitative analysis techniques, including statistical approaches, to solve analytics problems.
- Leverage advanced mathematics, programming, and tools like statistical modeling, machine learning, and AI for large-scale analysis.
- Mentor lower-level analysts, fostering intellectual curiosity, critical thinking, and problem-solving abilities.
- Define key performance indicators (KPIs) and metrics to track the progress and impact of strategic initiatives.
- Develop business cases and presentations to communicate strategic insights and performance metrics to senior leadership.
Skills: - Proficiency with data visualization tools such as Power BI, Tableau, or Qlik Sense.
- Expertise in SQL, SAS, Python, or R for data analysis and manipulation.
- Experience with cloud computing and databases, including Snowflake, DBeaver, and Tidal.
- Strong verbal and written communication skills, with the ability to articulate complex analytical findings into actionable business insights.
- Strong ability to work independently and make informed decisions.
- Great attention to detail, analytical thinking, organizational skills, and the ability to multitask and solve problems effectively.
- Ability to handle stress, exercise self-control, and adhere to company policies and procedures while upholding company values.
Education and Experience: - Bachelor's degree in data science/Analytics or a related field (i.e. Business), required.
- Two (2+) or more years of practical business experience in financial services with consumer finance, preferred.
- Demonstrated experience and/or understanding of credit card systems or financial institutions, preferred.
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