Senior Data Analyst - Credit Risk

• Pay or shift range: $91,500 USD to $114,375 USD. The estimated range is the budgeted amount for this position. Final offers are based on various factors, including skill set, experience, location, qualifications and other job-related reasons.

Must be located in Central MN and have reasonable commute to St. Cloud, MN due to in-office requirements.

SCHEDULE: Full-Time, Monday–Friday 8:00am-5:00pm CST

COMPENSATION: Starting Pay: $91,500 - $114,375 per year.

As a Senior Data Analyst
, you will play a critical role in evaluating borrower creditworthiness, assessing potential losses, and developing strategies to mitigate credit and fraud risks
. You will take the lead on complex data initiatives
, working with large datasets to uncover insights that shape business strategy. In this role, you will collaborate with cross-functional teams
, apply advanced analytics techniques, and create impactful reports and dashboards
. If you thrive in a data-driven environment and enjoy solving complex problems, this is the perfect opportunity for you!

• Lead data analysis projects – collect, clean, and organize large datasets to develop and implement statistical models aimed at reducing credit and fraud risks
  .
• Analyze credit risk exposure – identify trends and opportunities to monitor and assess the loan portfolio’s risk profile
  .
• Develop reports and dashboards – maintain performance monitoring tools using Tableau, SAS, Excel, and SQL
  .
• Conduct predictive modeling – apply advanced statistical techniques to support business strategies and decision-making.
• Collaborate cross-functionally – work with business teams and the Operational Underwriting Team to translate data insights into actionable strategies
  .

Must-Have

Qualifications:

• Bachelor’s degree in Business, Mathematics, Statistics, Economics, or a related field
  .
• Minimum of 5 years’ experience in data analysis,
  working with large datasets and complex data projects
  .
• Ability to prepare and effectively present data analyses to business users.

Nice to Have, but not

Required:

Master’s degree in a relevant field.

Competent in data analysis and programming tools such as Python, Hive, or R.

Experience in the financial or banking industry, with a focus on credit risk.

• Schedule: Full-Time, Monday–Friday 8:00am-5:00pm CST
• Work Setting: Hybrid

• Starting Pay: $91,500 - $114,375 per year.
• The estimated range is the budgeted amount for this position. Final offers are based on various factors, including skill set, experience, location, qualifications and other job-related reasons.

Additional Perks that Go the Extra Mile:

Annual Discretionary Bonus

Earned Safe & Sick Time (ESST)

Paid Maternity & Paternity Leave

Paid Time Off (PTO) & 8 Paid Holidays

Donation Matching & Paid Volunteer Time

401(k) Match – 100% of your deferrals up to 5%

Tuition Reimbursement & Student Loan Match Program

It only takes a couple minutes
! Submit your resume on our website at .

PCI is an equal employment opportunity employer committed to diversity, equity, & inclusion. We make hiring decisions based on qualifications, merit, and business needs. If you need assistance or an accommodation due to disability, please contact PCI HR at

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.

For further information, please review the Know Your Rights notice from the Department of Labor.