Smurfit Westrock (NYSE:SW) is a global leader in sustainable paper and packaging solutions. We are materials scientists, packaging designers, mechanical engineers, and manufacturing experts with a shared purpose: Innovate Boldly. Package Sustainably. Guided by our values of integrity, respect, accountability, and excellence, we use leading science and technology to move fiber-based packaging forward.
The Internal Audit organization is a highly efficient and effective risk/control assurance function. The team is consistently sought out for risk/control advisory services and provides innovative, respected, timely, and valued data-driven risk/control insight. Internal Audit anticipates risk to influence improvements in the changing global risk/control environment. We provide advisory and assurance services to address enterprise risk aligned with strategic priorities and overall enterprise organizational goals.
About the Role: We are seeking a motivated and skilled Data Analyst to join our Internal Audit team in one of our offices (in Atlanta, Dublin, Amsterdam). This role is primarily focused on Data Analysis and Data Engineering. The successful candidate will be managing a development team within the Internal Audit Department that manages all stages of the development process to create imaginative and engaging solutions that answer key business questions. They will play a crucial role in handling and manipulating data (financial and other data), collaborating with our various stakeholders to create insightful reports, automating audit processes, and bringing a fresh perspective to the team and department.
The role offers opportunities for advanced training in Power BI, Python, SQL, MS Fabric, and other relevant technologies. It will also offer support for ongoing professional training and development tailored to individual needs and business requirements.
Key Responsibilities:
- Develop and maintain ETL pipelines, Python and SQL Server scripts, and dashboards.
- Collaborate with audit teams to help drive process improvements by understanding and automating audit processes.
- Perform peer reviews of team members' work.
- Maintain and update documentation of workflows, processes, and pipeline designs.
What you need to succeed:
Required:
- Bachelor’s/master’s degree in computer science, data science, or similar fields.
- At least four years of professional work experience.
- Data Analytics, Data Engineering, and Data Mining skills.
- Solid experience with Power BI for data visualization and reporting.
- Strong SQL and Python/R is essential.
- Proficiency in designing and developing ETL pipelines (MS Fabric, Alteryx, etc.).
- Big Data/Cloud, API, and machine learning experience is desirable.
- Microsoft 365 stack and DevOps.
- Excellent communication skills, both verbal and written. Fluency in English is essential, and Spanish is desirable.
- Excellent presentation and storytelling skills, making complex data more navigable and bringing insights to the fore.
- Passionate about accuracy and data integrity.
- Strong analytical and problem-solving skills.
- Friendly and willing to work collaboratively in a team environment.
- Eager to learn and improve continuously.
- Ability to translate business requirements into delivered solutions.
- Open to exploring new approaches and challenging existing processes for greater efficiency.
What we offer:
- Corporate culture based on integrity, respect, accountability, and excellence.
- Comprehensive training with numerous learning and development opportunities.
- An attractive salary reflecting skills, competencies, and potential.
- A career with a global packaging company where Sustainability, Safety, and Inclusion are business drivers and foundational elements of the daily work.
Smurfit Westrock is an Equal Opportunity Employer. We strive to create and maintain a diverse workforce where everyone feels valued, respected, and included. Smurfit Westrock does not discriminate on the basis of race, color, religion, national origin, sex, age, disability, veteran status, sexual orientation, gender identity, or any other basis protected by federal, state, or local law.
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