обновлено 11 часов назад
Data Analyst (Internal Audit)
75 400 - 99 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst (Internal Audit) (Tableau/Power BI, Python/SQL/R): Supporting internal audits through data extraction, transformation, validation, visualization, and risk-focused analytics with an accent on data modeling, audit efficiency, and continuous monitoring. Focus on developing prototypes to mechanize manual audit processes, analyzing business risks and controls, and building insights for operational and management reporting.
Location: Northbrook, Illinois, United States
Estimated base pay: $75,400–$99,600 per year
Company
provides clean energy to feed and fuel the world sustainably, operating manufacturing complexes and storage, transportation, distribution, and logistics capabilities across North America, the United Kingdom, and globally.
What you will do
- Support 5–6 annual audits across Information Technology, Operations, Compliance, General Accounting and Reporting, and other processes.
- Collaborate with senior leadership, audit managers, and data analytics specialists to identify risks, controls, and opportunities to improve audit and reporting efficiency.
- Learn business systems and data sources, then extract, transform, combine, and validate data for analytical purposes.
- Script, program, and visualize data while planning and executing audit analytics objectives.
- Analyze and document observations and potential issues, and explore continuous monitoring opportunities for annual risk assessments.
- Develop prototypes to mechanize manual audit processes and co-facilitate the company’s Data & Analytics Forum.
Requirements
- Bachelor’s degree in Analytics, Mathematics, Information Technology, or a related field.
- At least 3 years of data visualization experience with Tableau and/or Power BI.
- At least 2 years of demonstrable experience transforming and combining disparate datasets for analytical purposes.
- Experience using programming languages such as Python, SQL, and/or R for analytics.
- Exposure to cloud analytics tools such as Databricks and Azure analytics resources including Data Factory and Synapse.
- Exposure to REST APIs and programmatic data retrieval.
Nice to have
- Exposure to SAP.
Culture & Benefits
- Focus on safe and reliable operations, environmental stewardship, disciplined management, and diverse perspectives.
- Flexible Work Arrangements supporting work-life balance.
- Incentive program for full-time employees.
- Medical plans, a health savings plan with company contribution and match, dental and vision benefits, and a well-being incentive program.
- 401(k) plan with a potential employer contribution of 10%–13%, life and disability insurance, and paid time off programs.
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