Hybrid Information Data Architect - Analytics & Insights

RiseMe

Howell (MI)

Hybrid

USD 105,000 - 145,000

Full time

3 days ago
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Benefits offered by this job

Medical, dental, vision insurance
401K with company match
PTO
On-site medical/wellness center (Worc.
Flexible work arrangements

Job summary

The Hanover Insurance Group is seeking an Associate Information Data Architect to join our hybrid team across our Worcester, MA / Windsor, CT / Michigan offices. You will design and govern analytical datasets, transform complex data into actionable intelligence, and collaborate with cross‑functional teams to support decision making.

This full-time exempt role requires strong SQL and Python skills, experience with Azure Data Factory, Synapse, ADLS, and Informatica, plus a background in data

Qualifications

  • Bachelor’s degree preferred.
  • Authorization to work in the United States without sponsorship.
  • 2+ years in data engineering, ETL, data modeling, analysis, or analytics delivery.
  • Strong SQL skills for large datasets and data profiling.

Responsibilities

  • Translate reporting requirements into analytical datasets and KPI logic.
  • Document source-to-target mappings and data lineage across systems.
  • Perform data profiling and quality checks to ensure accuracy.
  • Handle XML/JSON parsing and data validation across cloud platforms.
  • Collaborate with stakeholders to define KPIs and data governance.

Skills

SQL
Python
Azure Data Factory
Synapse
ADLS
Azure SQL
P&C insurance

Education

Bachelor’s degree preferred

Tools

Informatica
XML/JSON parsing
XPath
Azure DevOps

Job description

The Hanover Insurance Group is seeking an Associate Information Data Architect to join our hybrid team across our Worcester, MA / Windsor, CT / Michigan offices. You will design and govern analytical datasets, transform complex data into actionable intelligence, and collaborate with cross‑functional teams to support decision making.

This full-time exempt role requires strong SQL and Python skills, experience with Azure Data Factory, Synapse, ADLS, and Informatica, plus a background in data

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