Toronto, New York, San Francisco, Atlanta, Seattle
Open 4 months, first seen by us 135 days agoComplete data analytics tests as part of audit engagements
Drive use of AI across the audit team and in engagements
Participate in audit walkthroughs and build work programs
Lead data analytics brainstorming sessions with the audit team
Assist with substantive testing of audit findings during reporting
Complete data analytics as part of audit engagements
Drive the use of AI across the audit team and leverage it in audit engagements
Participate in audit walkthroughs and develop work programs for the in scope areas
Lead DA brainstorming sessions with the audit team
Assist with substantive testing of audit findings during reporting
5-10 years of professional experience working in audit data analytics
Expertise with SQL, schema and ETL design, and data pipeline development/maintenance (e.g., Airflow).
Familiarity with scripting/programming for data mining and modeling (R, Python)
Experience with and knowledge of machine learning techniques.
Experience with reporting and visualization platforms (e.g., Tableau).
- Strong communication skills with the ability to simplify and share succinctly. - Bachelor's degree in Statistics, Computer Science, Economics, or a related quantitative field. - Experience working with basic git command
Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead.
In the employer’s words · Read in context
Open 4 monthsWe first saw this posting 135 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 135
Up longer than most. Similar jobs usually come down between day 5 and day 43.
Well past Stripe’s usual: its jobs come down by about day 60.
From 14,732 similar postings that came down, and 46 of Stripe’s. Coming down is not always a hire.
35 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Expertise with SQL, schema and ETL design, and data pipeline development/maintenance (e.g., Airflow). - Familiarity with scripting/programming for data mining and modeling (R, Python) and ETL development (Python). - Experience with and knowledge of machine learning techniques.
- 5-10 years of professional experience working in audit data analytics - Expertise with SQL, schema and ETL design, and data pipeline development/maintenance (e.g., Airflow). - Familiarity with scripting/programming for data mining and modeling (R, Python) and ETL development (Python).
- Experience with and knowledge of machine learning techniques. - Experience with reporting and visualization platforms (e.g., Tableau). - Exquisite attention to detail.
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New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.
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We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
Stripe builds the most powerful and flexible tools for running an internet business. We handle hundreds of billions of dollars each year and enable millions of users around the world to scale faster and more efficiently by building their businesses on Stripe. To further this important mission, Stripe is building a world class Internal Audit (IA) team. Our IA mission is to make the business better as it grows. We are consumed with the goal of being agile with the business, powered by technology and an accelerator to the speed of controls integration and compliance adoption.
Our IA team is responsible for providing objective feedback and insights across the company in relation to the design and effectiveness of Stripe’s business processes, its compliance with laws and regulations and its risk management framework. Unique in our purpose is a cross-functional mandate that invites viewing through a wide lens and collaborating across the business. To enable this engagement, we must build and scale in a rapid-growth, high-volume environment. This is a unique opportunity to join a growing Data Analytics team within audit and work on providing data driven insights across the IA lifecycle. The DA Lead will support Data Analytics and audit fieldwork in execution of the approved Global Audit Plan. They will help develop embedded audit analytics as part of audit planning, fieldwork, and reporting through the execution of data analytics test steps. The DA Lead will also help drive the usage of AI to help drive more efficient and effective audits and will be a key member of the IA team who will help us elevate the ambitions of Stripe.
This position can be based in Toronto, New York, San Francisco, Atlanta or Seattle.
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
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Toronto, New York, San Francisco, Atlanta, Seattle
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