Data Analyst

Posted 12 Days Ago
2 Locations
Remote
Junior
Artificial Intelligence • Logistics • Machine Learning • Software
The Role
The Data Analyst will load, analyze, and report datasets extracted from SAP systems, primarily using SQL and Python. Responsibilities include ETL processes, developing SQL scripts, ensuring data quality, and creating custom reports. The analyst will collaborate with teams to drive insights and optimize inventory management.
Summary Generated by Built In

Verusen is a leading technology company that uses artificial intelligence to provide visibility, digitization and prediction of materials data and inventory for complex supply chains. The company’s AI software harmonizes disparate material data across ERP instances/systems while providing accurate MDM across the enterprise to optimize inventory costs. Intelligent controls enforce inventory procedures to help prevent future inventory spikes, while predictive capabilities optimize allocation and procurement needs. The result is a data foundation you can trust to move quickly to innovate and support related Industry 4.0 initiatives.

Verusen is venture-backed by leading investors from San Francisco to Boston, and is a Signature Company at Georgia Tech’s Advanced Technology Development Center (ATDC). Partnerships including SAP and Accenture. Verusen is a portfolio company of SAP.iO.

Data Analyst – SAP Data Integration and Reporting

Location: Remote / Atlanta, GA
Team: Customer | Reports to: Head of Customer Success

Overview:
Verusen is looking for a Data Analyst to join our team and play a critical role in loading, analyzing, and reporting datasets—primarily extracted from SAP systems. The ideal candidate will be highly skilled in SQL and SQL scripting and have a working knowledge of Python to assist with automation and advanced analytics. The analyst will collaborate with cross-functional teams, including Product, Engineering, and Customer Success, to drive insights and support data-driven decision-making.

Key Responsibilities:

  • Extract, transform, and load (ETL) data from SAP modules, including SAP Materials Management (MM) and Plant Maintenance (PM).
  • Develop and maintain SQL scripts and queries for data extraction, transformation, and reporting.
  • Identify, clean, and standardize MRO datasets to ensure data quality and consistency across multiple sources.
  • Support data migration efforts by mapping legacy data with SAP data fields.
  • Collaborate with business stakeholders to understand data needs and design custom reports and dashboards.
  • Develop and maintain data pipelines and processes to automate repetitive tasks.
  • Utilize Python (optional, but preferred) for more complex data transformations, automation, or advanced analytics.
  • Conduct trend analysis and present insights to internal teams and clients to drive operational efficiencies and supply chain optimizations.
  • Work closely with the AI and Product teams to integrate human-in-the-loop feedback into AI models for continuous improvement.

Requirements:

  • Bachelor’s degree in Data Science, Computer Science, Information Systems, or a related field. Will consider equivalent experience vs degree. 
  • 2-5 years of experience as a Data Analyst or in a similar data-focused role.
  • Strong SQL proficiency with expertise in SQL scripting for complex queries, joins, and stored procedures.
  • Experience with SAP (Materials Management (MM), Plant Maintenance (PM), or related modules).
  • Strong analytical and problem-solving skills with a keen eye for data quality issues.
  • Familiarity with ETL processes and data migration best practices.
  • Experience with Python for data manipulation and automation (preferred).
  • Familiarity with data visualization tools such as Power BI, Tableau, or similar platforms.
  • Ability to translate business needs into technical specifications and actionable insights.
  • Strong communication and interpersonal skills for cross-functional collaboration.

Preferred Skills (Nice to Have):

  • Experience working in MRO inventory management or supply chain environments.
  • Familiarity with SAP data structures and BAPI integration.
  • Exposure to AI-driven analytics and human-in-the-loop workflows.
  • Experience with cloud platforms (AWS, Azure) for data storage and processing.

What We Offer:

  • Competitive salary and benefits
  • Flexible work environment (remote or hybrid)
  • Opportunity to work with cutting-edge technologies in AI-driven supply chain solutions
  • A collaborative team environment with opportunities for career growth

Commitment to Diversity and Inclusion

At Verusen, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, national origin, age, physical and mental disability, sexual orientation, gender identity and/or expression, status as a veteran and any other characteristic protected by applicable law. We respect and seek to empower each individual and support a diverse culture, perspectives, skills, and experiences within our workforce.  We believe that diversity and inclusion among our teammates are critical to our success, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.

Top Skills

Python
SQL
The Company
HQ: Atlanta, GA
41 Employees
On-site Workplace
Year Founded: 2015

What We Do

Verusen is a supply chain intelligence innovator focused on the digitalization of the supply ecosystem to conquer materials complexity by leveraging its advanced artificial intelligence (AI), data harmonization, and decision support to help premier global companies attain supply chain resiliency and improve their bottom lines. The company’s platform harmonizes disparate material data across legacy systems and processes while providing trusted data across the enterprise to reduce supplier and operational risk. The result is a data foundation organizations can trust to fuel digitalized transformation and support related Supply Chain and Industry 4.0 initiatives. Visit verusen.com for more information, or follow us on Twitter at @Verusen_AI and LinkedIn.

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