Data SpecialistEngineer

About the role

The Data Engineer works to develop and support data solutions to enhance the capabilities of the Internal Audit Data Analytics team including developing and maintaining our analytic tools to support internal audits. The position working within a team creates and sustains the data pipelines that feed data from business systems to the rest of the team and Internal Audit. The ideal candidate for this position will be a highly motivated employee with the ability to work well independently or with a team. This position will report to the manager of Data Analytics Internal Audit.

You will

• Lead the data acquisition efforts to support data analytic objectives using data sources across multiple IT systems (SAP Witron Concur etc.)
• Build the infrastructure required for optimal extraction transformation and loading of data from a wide variety of data sources
• Query and validate data across multiple data sources with a strong focus on data integrity and security
• Develop and maintain data source documentation backup and recovery procedures as needed
• Identify and implement ways to improve data reliability efficiency and quality
• Work with audit personnel to discuss analytic project objectives and related data requirements
• Build analytics tools that utilize data visualization (Power BI etc) to provide actionable into process
• health operational efficiency and other key business performance metrics
• Develop and maintain relationships with internal and external data providers both domestic and
• international
• Test and validate analytic reporting against established metrics to ensure results are consistent reliable
• and accurate
• Provide occasional data literacy trainings for the Internal Audit department
• Adhere to Internal Audits prescribed data analytic methodology

About you

• Demonstrable experience in Finance Information Technology or Data Analytics
• Fluency in English
• Bachelors degree (or equivalent) required in Information Technology Business Analytics or related discipline
• Proficiency in Microsoft Office applications
• Experience with data analysis and/or visualization tools (e.g. PowerBI Alteryx Business Objects SQL ACL Tableau etc.)
• Ability to adapt to multiple tools and techniques for data extraction
• Demonstrated history of learning new skill sets as needed to perform challenging and complex tasks
• Ability to work in a fast-paced environment with demonstrated ability to manage multiple competing tasks projects and demands assigning resources when appropriate
• Working SQL knowledge and experience working with relational databases preferred
• Experience In translating analysis and reporting Into actionable business Insights preferred
• Experience with SAP / Business Warehouse preferred

Location: This is a full time role working remotely with teams in Europe and USA

About us

We are DS Smith together with International Paper we are a global leader in sustainable packaging solutions and other fibre-based believe a better more sustainable tomorrow is possible with the right people who challenge and support one another to enact positive change. We employ more than 65000 colleagues in North America and Europe Middle East and Africa (EMEA) who are experts in innovationmanufacturing design sales sustainability supply chain and much more. Together with our customers we make the world safer and more productive one sustainable packaging solution at a time. Become part of a world-leading organisation and do your best work with us!

Fair recruitment at DS Smith

To fulfil our purpose of redefining packaging for a changing world we aim to build a diverse motivated and engaged workforce. Our goal is to create a culture of inclusion where everyone is treated fairly differences are valued and everyone has an equal opportunity to succeed.

Our people come from diverse backgrounds bring different perspectives ideas and experiences to generate unique solutions focused on present and future sustainability challenges. We welcome all candidates to apply even those not meeting all criteria.

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