Amtex Systems Inc.

Data Manager

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Manager in Conshohocken, PA, lasting 3-4 months with a potential contract-to-hire. Key skills include Data Management, SQL, Tableau or PowerBI, Google Analytics, and Azure Data Engineering. Experience in Property & Casualty insurance is preferred.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
Unknown
-
πŸ—“οΈ - Date
January 28, 2026
πŸ•’ - Duration
3 to 6 months
-
🏝️ - Location
On-site
-
πŸ“„ - Contract
Unknown
-
πŸ”’ - Security
Unknown
-
πŸ“ - Location detailed
Conshohocken, PA
-
🧠 - Skills detailed
#BI (Business Intelligence) #Looker #Microsoft Power BI #Azure #Google Analytics #Data Engineering #Data Architecture #Data Management #Tableau #Data Layers #SQL (Structured Query Language)
Role description
Position: Data Manager Location: Conshohocken, PA - 4 Days Onsite Duration: 3-4 mo., potential Contract-to-Hire engagement Looking for Architect, Engineer, or Manager in the candidate’s job titles. Analyst will not be heavy enough. Must Haves: Data Management | SQL | Customer Data (Lifetime Value, Segmentation) | Tableau or PowerBI | Google Analytics | GTM Config. | Data Layers | Looker Dashboards | Campaign Optimization | Data Architecture | Data Engineering (Azure) DTD work: β€’ Figure out how to optimize Google Analytics/Ads β€’ Create LTVs (Lifetime Value) for their brands Our customer, a global specialty insurance platform with over $1B in premium assets, focuses on acquiring and accelerating high-performing niche brands. They center their expertise on Property & Casualty (P&C) insurance. Qualifications β€’ Analyzing SQL-based sales and customer data (e.g., lifetime value, segmentation) β€’ Building an interactive reporting layer (Tableau, PowerBI/Fabric or a similar tool) β€’ Reviewing our Google Analytics, GTM configuration, and data layer events β€’ Reviewing or enhancing Looker dashboards β€’ Auditing paid media campaigns across Google and other platforms β€’ Supporting our marketing team with ongoing campaign optimization β€’ Creating or editing dashboards in Power BI as needed β€’ Support Corporate Data architecture build out β€’ Building or modifying Data Engineering Pipelines in Azure