ASD Analytics Engineer (Data / SQL)
Role Overview
The role is described as a Data Engineer supporting consulting engagements and pre-sales solutions integration data work.
The work applies data analytics and data engineering to turn raw customer data into actionable insights.
Key Skills for This Role
Full Job Posting
About KPI Solutions
KPI Solutions is a supply-chain consulting and warehouse-automation systems integrator serving e-commerce, retail, and distribution clients.
The company delivers engineered solutions combining material-handling equipment, robotics, conveyor systems, ASRS, AMR/AGV, and warehouse execution software.
Its work ranges from initial design through go-live and ongoing support.
About the role
The role is described as a Data Engineer supporting consulting engagements and pre-sales solutions integration data work.
The work applies data analytics and data engineering to turn raw customer data into actionable insights.
What you’ll do
- Work with consulting and solutions project leaders on project-level data analysis.
- Execute ETL processes on customer datasets.
- Perform standardized and ad hoc reporting and analysis.
- Create visualizations with tools such as Tableau and Microsoft Excel.
- Refine and improve the tools and processes used by the data team.
Required qualifications
- Strong problem-solving skills and effective communication with internal teams and external stakeholders.
- 3+ years of professional data analytics, data engineering, or data science experience, or formal education in a quantitative field such as Mathematics, Computer Science, or Engineering.
- Strong SQL skills covering data modeling, ad hoc querying, and query performance.
- Experience with analytical tools such as Alteryx, dbt, or Microsoft Excel.
Preferred qualifications
- Experience with Python, R, or other programming languages is preferred.
- Understanding of warehouse distribution, logistics, and processes is preferred.
- Tableau experience, including publishing curated datasets and dashboard performance basics, is preferred.
- Hands-on Databricks experience is preferred.
- Warehouse automation or intralogistics experience, such as AMRs, AutoStore, shuttle, sortation, or WES/WCS, is preferred.
Benefits
- The company lists medical, dental, and vision insurance; retirement savings; life and disability coverage; paid time off and holidays; and training and development.
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