Data and Analytics Engineer

Arcadian Infracom; St. Louis (MO); On-site; USD 80,000 - 110,000; Full time

Job summary

Arcadian Infracom in St. Louis is looking for a data engineer to develop and maintain data pipelines and analytics solutions. This role involves collaborating with Supply Chain, Finance, IT, and Operations teams to ensure data integrity across platforms. Applicants should possess a degree in a relevant field and have 3–7 years of experience in data engineering. Proficiency in tools like SQL and Power BI is essential, alongside strong analytical skills. This position offers the chance to enhance reporting environments and support data governance efforts.

Qualifications

• 3–7 years of experience in data engineering, business intelligence, analytics, or a related role required.
• Experience building and maintaining data pipelines and transformations required.
• Strong analytical and problem-solving skills with attention to detail.

Responsibilities

• Design, build, and maintain data pipelines and integrations across enterprise systems.
• Develop data models that support reporting and analytics.
• Own and enhance reporting environments, including dashboards and KPIs.

Skills

Data engineering

Business intelligence

Data visualization

Analytical skills

SQL

Power BI

Cross-functional collaboration

Education

Bachelor’s degree in information systems, Data Analytics, Computer Science, Business, or a related field

Tools

Power BI

Tableau

NetSuite

Salesforce

SAP

Oracle

Python

Job description

Overview

Position Overview: This role is responsible for designing, building, and maintaining the data infrastructure and analytics capabilities that support supply chain and operational decision-making. The position combines hands-on data engineering, business intelligence, and system support responsibilities to ensure data is accurate, accessible, and actionable across enterprise platforms.

The individual will work across systems such as ERP, project management platforms, and reporting tools to develop scalable data pipelines, dashboards, and integrations. This role bridges the gap between technical development and business operations by translating operational needs into reliable data solutions and insights.

Role and Responsibilities

• Design, build, and maintain data pipelines and integrations across enterprise systems (ERP, project management tools, and other operational platforms).
• Develop and manage data models that support reporting, analytics, and operational workflows.
• Own and enhance reporting environments, including dashboards, KPIs, and self-service analytics tools (e.g., Power BI).
• Ensure data accuracy, integrity, and consistency across systems through validation, monitoring, and governance practices.
• Partner with Supply Chain, Finance, IT, and Operations teams to translate business requirements into scalable data and reporting solutions.
• Support and optimize existing data infrastructure, including queries, transformations, and refresh processes.
• Analyze operational and supply chain data to identify trends, inefficiencies, risks, and cost-saving opportunities.
• Assist in the design and implementation of system workflows and integrations to improve end-to-end process efficiency.
• Maintain documentation for data models, pipelines, and reporting logic to ensure transparency and auditability.
• Serve as a key resource for troubleshooting data issues, reporting discrepancies, and system-related questions.
• Contribute to data governance efforts, including master data management, standardization, and change control processes.
• Support ad hoc data requests, analysis, and reporting needs from internal stakeholders.
• Other duties as assigned.

Qualifications and Education Requirements

• Bachelor’s degree in information systems, Data Analytics, Computer Science, Business, or a related field required.
• 3–7 years of experience in data engineering, business intelligence, analytics, or a related role required.
• Experience building and maintaining data pipelines and transformations (e.g., SQL, Power Query, Python, or similar tools) required.
• Strong proficiency in data visualization and reporting tools (e.g., Power BI, Tableau).
• Experience working with ERP or operational systems (NetSuite, Salesforce, SAP, Oracle, or similar).
• Solid understanding of data modeling concepts and relational databases.
• Strong analytical and problem-solving skills with attention to detail.
• Ability to translate business requirements into technical solutions and actionable insights.
• Experience working in cross-functional environments with both technical and non-technical stakeholders.

Familiarity with data governance, data quality, and validation best practices preferred.