Data Analyst - Logistics Business Improvement

Carman Solutions Group
Houston, TX, United States
3 months ago

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$128,960.0 - $133,120.0
Working hours
Regular working hours
Job source

Tech stack

Business Analytics Applications Spreadsheets SAP ERP Operational Data Store Power BI SAP NetWeaver Data Management Microsoft SharePoint SQL Databases Tableau (Software) Powerquery Performance Monitor SAP S/4HANA
+1 more
Alteryx

Job description

Looking for a Data Analyst who can turn logistics data into something more useful than a weekly spreadsheet nobody trusts but everyone keeps forwarding around anyway. This role sits right in the middle of logistics, transportation, supply chain operations, and analytics. The team needs somebody who can build meaningful reporting, spot operational issues early, and help leadership actually see what’s happening across transportation costs, carrier performance, and logistics operations in real time. A big part of the work revolves around Power BI, SAP data, analytics development, KPI tracking, and process improvement across global logistics operations. There’s also a strong business-facing side to the role, so this is not just a ā€œsit quietly and build dashboardsā€ position. You’ll be working closely with logistics teams, supply chain stakeholders, and IT groups to improve reporting visibility, support transportation analytics, and help drive operational improvements across multiple workstreams. What matters most for this role

Requirements

SAP experience, ideally around logistics or supply chain operations Experience with SQL, DAX, Power Query, and advanced analytics Ability to build dashboards, KPIs, and reporting frameworks that people actually use Commercial supply chain or logistics experience Strong analytical and root cause analysis skills Ability to work directly with business stakeholders and translate operational needs into reporting solutions Experience with Alteryx, Tableau, SharePoint, SAP S/4 HANA, transportation analytics, or oil & gas logistics environments is a strong plus. The team is looking for somebody who’s naturally curious, comfortable digging through messy operational data, and able to explain findings without sounding like they swallowed a reporting manual. Somebody who can spot patterns, challenge bad assumptions, and help improve processes instead of just documenting them after the fact.

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