Technology & Data Analytics Specialist

SBP Careers•Duluth, GA

About The Position

Specialty Building Products is seeking a Technology & Data Analytics Specialist to give operations leaders reliable information and implement practical digital tools. The role owns key dashboards and reporting, improves data quality, supports process automation, and turns operating data into useful insights that support better decisions. The specialist partners with IT, operations strategy, regional specialists, and local teams on data and technology projects. The role also maintains reasonable data governance, documentation, access controls, and metric definitions so reports remain dependable.

Requirements

At least 5 years of experience in business intelligence, data analytics, operations analytics, reporting, process automation, or a related field.
Strong spreadsheet skills and proficiency with at least one modern BI or reporting platform.
Ability to work with large data sets, validate data, and explain what the numbers mean to non-technical leaders.
Experience defining KPIs and building recurring reports or dashboards.
Experience improving a manual process through automation or better use of technology.
Strong written and verbal communication skills.

Nice To Haves

Experience with Power BI, SQL, data modeling, workflow automation, AI, or similar tools.
Experience supporting distribution, manufacturing, transportation, supply chain, or field operations.
Knowledge of data governance, master data, and reporting controls.
Experience connecting data from ERP, WMS, TMS, or other operating systems.
Bachelor’s degree in analytics, information systems, business, operations, computer science, or equivalent practical experience.

Responsibilities

Build and maintain clear, accurate, and useful operations dashboards and reports for branch, regional, and enterprise leaders.
Define KPI logic and reporting rules so locations measure performance consistently.
Identify missing, inconsistent, or incorrect data and work with the appropriate teams to address root causes.
Automate repetitive reporting or administrative work when automation can save time and reduce errors.
Evaluate and support digital tools that make operations work simpler, faster, or easier to manage.
Analyze performance differences, identify trends, and find improvement opportunities.
Translate technical findings into clear business language and recommended actions.
Partner with IT, operations strategy, regional specialists, and local teams on data and technology projects.
Maintain data governance, documentation, access controls, and metric definitions.