On-Site BI Data Analyst: Cost Modeling & Dashboards

deploy; Birmingham (AL); On-site; USD 80,000 - 110,000; Full time

Job summary

deploy is seeking a BI Data Analyst for an on-site role in Birmingham, Alabama. The candidate will design and develop BI data models and visualizations to support data-driven decision-making, partnering with stakeholders to deliver proactive, value-added analytics.

The role involves building dashboards, performing variance analysis, and developing executive-level reports. Strong SQL, Python or R skills and experience with BI tools are required to deliver robust insights across the organization.

Qualifications

• Typically requires a bachelor's degree in information systems and 3–5 years of related work experience or equivalent.

Responsibilities

• Designs and develops BI data models and visualizations.
• Builds should-cost models for categories using commodity indices, labor, transport and overheads.
• Monitors raw material and input costs; supports supplier price increase logic.
• Maintains the Procurement Gains Tracker with savings, cost avoidance and rebates by wave and category.
• Creates strategic fact packs with market sizing, supplier concentration, pricing benchmarks and share of wallet.
• Performs variance analysis to identify margin leakage, supplier underperformance or pricing gaps.
• Develops executive dashboards and reports for reviews and transformation updates.
• Responsible for end-to-end BI data set design, data models, reports, dashboards and visualizations.

Skills

Advanced SQL

Python

Excel

VBA

Data visualization

Analytical thinking

Education

Bachelor's degree in information systems

Tools

QVD files

ERP systems

Relational databases

Job description

deploy is seeking a BI Data Analyst for an on-site role in Birmingham, Alabama. The candidate will design and develop BI data models and visualizations to support data-driven decision-making, partnering with stakeholders to deliver proactive, value-added analytics.

The role involves building dashboards, performing variance analysis, and developing executive-level reports. Strong SQL, Python or R skills and experience with BI tools are required to deliver robust insights across the organization.