Staff Data Analyst - Internal Audit

SoFi•Cottonwood Heights, UT

1d•$70,400 - $88,000

About The Position

SoFi is seeking a Staff Data Analyst – Internal Audit to join the SoFi Internal Audit (IA) Department, reporting to the Manager, Data Analytics, Internal Audit. This role will support the development and execution of data analytics solutions that enhance audit planning, risk assessments, audit testing, continuous monitoring, and departmental reporting. It is a hands-on role for an analytical and curious professional interested in applying data, technology, and business knowledge to support Internal Audit. The individual will work closely with audit teams, data owners, and business stakeholders to analyze data, identify trends and anomalies, improve audit efficiency, and communicate meaningful insights. The role offers opportunities to develop technical, audit, and stakeholder-management skills while contributing to the continued growth of Internal Audit’s data analytics capabilities.

Requirements

1+ years of experience in Data Analytics and Internal Audit, Risk Management, Data Science, Compliance, or a related field.
Experience using analytics and programming tools such as SQL, Python, Excel, Alteryx, R, or similar technologies.
Experience extracting, preparing, analyzing, and validating data from large or complex datasets.
Experience developing reports, dashboards, analyses, or automated processes using data.
Familiarity with data visualization and business intelligence tools such as Tableau, Power BI, or similar platforms.
Strong analytical and problem-solving skills, with the ability to identify trends, inconsistencies, and meaningful insights.
Ability to clearly document analytical procedures, findings, assumptions, and conclusions.
Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.
Demonstrated ability to manage priorities, meet deadlines, ask thoughtful questions, and work effectively in a collaborative environment.
Willingness to learn new tools, technologies, business processes, and audit methodologies.

Nice To Haves

Bachelor’s degree in Data Science, Computer Science, Information Systems, Mathematics, Statistics, Business, Accounting, Finance, or a related field.
Experience supporting Internal Audit, Risk, Compliance, Finance, or other control-related functions.
Experience applying data analytics to audit planning, risk assessments, audit testing, or continuous monitoring.
Experience building dashboards or visualizations in Tableau, Power BI, or similar tools.
Exposure to data transformation workflows using dbt or similar technologies.
Familiarity with Git, GitHub, code version control, peer reviews, or software development best practices.
Exposure to financial services, banking, lending, payments, investing, or other regulated industries.
Progress toward or interest in professional certifications such as CIA, CISA, CPA, CRMA, CAMS, or data analytics-related certifications.
Exposure to advanced analytics, machine learning, predictive modeling, or AI-enabled audit techniques.

Responsibilities

Partner with audit teams to identify opportunities to use analytics throughout the audit lifecycle, including planning, fieldwork, reporting, and monitoring activities.
Assist with the development and enhancement of automated testing routines and recurring monitoring processes.
Create and maintain dashboards, visualizations, and reports that communicate audit results, risk indicators, and monitoring outcomes.
Work with data owners and stakeholders to understand business processes, data structures, definitions, and data-quality considerations.
Document analytics procedures, assumptions, data sources, testing logic, and results in accordance with Internal Audit standards.
Stay informed about emerging analytics, automation, and audit technologies and identify opportunities to improve Internal Audit processes.
Demonstrate curiosity and a willingness to learn emerging technologies, including artificial intelligence, machine learning, automation, and advanced analytics.
Explore and evaluate opportunities to responsibly apply AI and other emerging technologies to improve audit planning, testing, monitoring, reporting, and operational efficiency.
Assist with developing, testing, and documenting AI-enabled or automated solutions that support Internal Audit activities.