Senior Data Analytics Manager – Payments

Jobtailor; Minnesota; On-site; USD 110,000 - 160,000; Full time

Job summary

Jobtailor is seeking an experienced Senior Analytics professional in Minnesota to lead complex analyses that inform decisions across product, marketing, finance, and payments.

You will design end-to-end analytical solutions, build hypotheses, and translate insights into actionable recommendations for senior leaders, driving portfolio growth and improved customer outcomes.

Qualifications

• Bachelor's degree or equivalent work experience.
• Eight or more years of statistical and/or data analytics experience.
• Strong proficiency in SQL, Python, R, SAS, or similar analytics tools.
• Experience working with large, complex datasets.
• Ability to solve ambiguous business problems with limited direction.
• Strong business acumen and ability to connect analytics to business outcomes.
• Experience developing executive presentations for senior leaders.
• Proven ability to influence decisions through data-driven recommendations.
• Background in financial services, banking, payments, or consumer lending preferred.
• Experience with predictive modeling, statistical analysis, or regression techniques is a plus.
• Strong written, verbal, and presentation skills.

Responsibilities

• Lead strategic and ad hoc analyses to support decision-making.
• Partner with product, marketing, finance, and payments groups to identify growth, engagement, and risk opportunities.
• Identify opportunities to expand partner relationships and customer engagement.
• Design and execute end-to-end analytical solutions from data extraction to presentation.
• Develop hypotheses, explore trends, and uncover drivers of portfolio performance and profitability.
• Translate findings into clear business recommendations for executives.
• Validate and reconcile data across multiple systems for accuracy.
• Evaluate impact of strategies, product changes, and customer initiatives via data-driven analysis.
• Build strong relationships with stakeholders as a trusted analytics advisor.
• Identify proactive analytical opportunities to drive portfolio growth and improve customer outcomes.

Skills

SQL

Python

R

SAS

Data analysis

Executive presentations

Education

Bachelor's degree or equivalent

Job description

• Lead strategic and ad hoc analyses to answer complex business questions and support decision-making.
• Partner with product, marketing, finance, and groups outside of Payments to identify opportunities for growth, engagement, and risk mitigation.
• Identify and quantify opportunities to expand and deepen partner relationships and customer engagement.
• Design and execute end-to-end analytical solutions, from data extraction through presentation of findings.
• Develop hypotheses, investigate business trends, and uncover key drivers behind portfolio performance and profitability.
• Translate analytical findings into clear business recommendations and executive-level presentations.
• Validate and reconcile data across multiple systems to ensure accuracy and consistency of insights.
• Evaluate the impact of business strategies, product changes, and customer initiatives through data-driven analysis.
• Build and maintain strong relationships with stakeholders while serving as a trusted analytics advisor.
• Identify proactive analytical opportunities that help drive portfolio growth and improve customer outcomes.

Requirements

• Bachelor's degree in a related field, or equivalent work experience
• Eight or more years of statistical and/or data analytics experience
• Strong proficiency in SQL, Python, R, SAS, or similar analytics tools
• Experience working with large, complex datasets.
• Demonstrated ability to solve ambiguous business problems with limited direction.
• Strong business acumen and ability to connect analytics to business outcomes.
• Experience developing executive presentations and communicating findings to senior leaders.
• Proven ability to influence decisions through data-driven recommendations.
• Background in financial services, banking, credit cards, payments, or consumer lending preferred.
• Experience with predictive modeling, statistical analysis, or regression techniques is a plus.
• Strong written, verbal, and presentation skills.