Senior Data Engineering Analyst

Veritiv Corporation

152d

About The Position

Our Senior Data Engineering Analyst partners with Developers, Architects, and business stakeholders to turn raw data into decision-ready information using new data sources, mapping them into our environment, and validating that every data pipeline provides clean, complete, and trusted data.

Requirements

• 5-10 years of related job experience.
• Strong planning and organization skills.
• Strong problem-solving and attention to detail skills.
• Curious 'data detective' mindset — keen to dive into schemas, spot anomalies, and trace lineage end-to-end.
• Strong written and verbal communication; able to translate technical findings into clear business language.
• High attention to detail and commitment to data accuracy, governance standards, and documentation quality.
• Collaborative and customer-oriented, thriving in cross-functional teams and willing to interface directly with business stakeholders.
• Proven ability to manage priorities, meet deadlines, and stay organized in a fast-moving, M&A-driven environment.
• Resilient under pressure; maintains professionalism while troubleshooting and navigating changing requirements.
• Ability to work independently, successfully manage accounts, work under pressure, and adapt to changes in the work environment.
• Scripting Language Skills (Python, Perl)

Nice To Haves

• Bachelor's Degree Preferred - Computer and Information Science
• Bachelor's Degree Preferred - Management Information Systems

Responsibilities

• Act as the primary liaison connecting Data Engineering, business stakeholders, and Analytics & AI groups.
• Turn M&A goals and daily requests into crisp user stories, acceptance criteria, and transformation specs.
• Create process maps and star-schema/SCD designs that fit our cloud stack.
• Use strong SQL and Python skills to surface anomalies and land clean data.
• Partner with Architects and Developers to design storage, format, and delivery on Redshift, Synapse/Fabric.
• Build reusable test scripts validating record counts, KPIs, and lineage; own business sign-off before production.
• Maintain data dictionaries, KPI definitions, and Power BI datasets that power self-service analytics.
• Enforce reliability, compliance, and continuous improvement across pipelines.
• Employ NoSQL (Cosmos DB, DynamoDB) and other fit-for-purpose stores to meet data pipeline, AI/RAG and analytics needs.
• Manage scope, training materials, and change communications so every stakeholder stays aligned.

Benefits

• Engaging and inclusive culture with employee-led Employee Resource Groups, Veritiv Cultural Alliance, recognition platform, etc.
• Extensive training opportunities, professional development programs, career pathing, and mentorship opportunities.
• Collaborative atmosphere with our customers and suppliers to create healthier, safer and more sustainable communities through our responsible operations and innovative solutions.
• Healthcare benefits, 401k, paid time off and tuition reimbursement.

What This Job Offers

• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees