Auditor - Business and Data Science

Snowflake•Dublin, CA

26d

About The Position

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Snowflake is growing and looking for a driven Auditor to join our team. You will report to the Senior Manager, Internal Audit - Business and help with an evolving workload with minimal supervision in a fast-paced environment. Whether it is supporting Snowflake’s Enterprise Risk Management (ERM) program or conducting internal audits, we strive to enhance the effectiveness, efficiency and scalability of the company’s processes, systems, and underlying internal control environment. You will be expected to leverage data to generate powerful insights and solutions, problem solve, collaborate closely with stakeholders, and move fast while keeping attention to detail. Role will be located in California and relocation costs will not be covered.

Requirements

Bachelor’s degree in Data Science, Computer Science, Business, Accounting or Finance or relevant MBA.
Relevant work experience in internal audits, data analysis, business intelligence, or controls assessment.
5+ years of relevant data analysis in audit, financial, risk management, or technology functions experience.
Experience in supporting the execution of SOX programs, control principles (e.g. COSO) and other internal audits.
Strong quantitative, analytical, data-intuition, and problem-solving skills, and proficiency in data analytics techniques and query/programming languages in SQL and Python, for data analysis and machine learning. Readability in Java is preferred.
Hands-on experience working with data visualization tools.
Working knowledge of internal controls and auditing techniques.
Detail and team oriented; ability to work both independently and as a team member.
Self-starter, ability to proactively problem-solve, identify, advocate for and execute improvements.
Ability to manage multiple, concurrent projects efficiently and effectively with minimal oversight. Maintain relationships with process owners and other key stakeholders.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

Nice To Haves

Experience with cloud-based or software as a service (SAAS) companies, and certifications like AWS, Azure and Google Cloud is strongly preferred.
Experience with Big 4 accounting firms, global public companies or consulting is strongly preferred.
A strong sense of analytical curiosity and the ability to ask probing questions to understand complex business processes and data context.

Responsibilities

Execute and support end-to-end operational audits over key business processes to identify areas of risk, evaluate the effectiveness of controls, and identify opportunities for process improvement.
Participate in risk assessments and the design of audit programs in order to address relevant risks.
Assist in all phases of internal audits including planning, fieldwork, close meetings, and reporting.
Design, and develop data analytics to support operational audit activities, including building and automating audit tests, scoping, and developing techniques for continuous monitoring.
Design, build, and execute data analytics for ERM initiatives, including developing analytics to monitor Key Risk Indicators (KRIs), identify emerging risk trends, and provide data-driven support for the ERM program and ERM risk assessments.
Develop and deploy AI/ML models to enhance risk detection and audit efficiency. This includes building predictive models for risk scoring, creating anomaly detection systems, and exploring the use of AI agents to automate audit tasks.
Work on data extraction, storage, transformation, and processing through data analytics routines, and generate output for visualization/analysis.
Translate complex findings into clear and compelling visualizations, dashboards, and narratives that empower auditors and business stakeholders to make informed decisions.
Interact with management and business partners to identify appropriate data sources and data elements required for analytics, applying professional skepticism when assessing data sources and validating the completeness and accuracy of data received.
Assist and collaborate with audit leadership to manage and evolve our data analytics ecosystem. You will leverage the Snowflake platform to build and maintain models that provide enhanced insight into risks and controls, establish an efficient/automated means to analyze and test large volumes of data for outliers, anomalies, patterns, and trends, and help evaluate the adequacy and effectiveness of process and controls.
Champion a data-first mindset within the team, research and communicate best practices, identify areas for improvement and opportunities to use data analytics and tools to improve our audit processes, and provide effective recommendations and sound audit conclusions. You will be empowered to challenge the status quo, develop new analytical approaches, and create tools that enhance the audit process.