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Segment Data Office Analyst

Company:
Nanosoft Consulting
Location:
Clinton Township, OH, 43224
Posted:
November 11, 2025
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Description:

About the job Segment Data Office Analyst

Location: Remote

Client: State of Ohio

Rate : $60

Duration : 3+Months

Remote - Candidates must be local to an HNB office and willing to work hybrid

This role is an individual contributor responsible for supporting the identification and management of critical data elements, including the associated data quality, metadata, lineage, and reference data, ensuring the data produced by the segment is fit for purpose for both regulatory and management reporting, supporting the prioritization of data and analytics-related issues and needs, and supporting the data literacy within a business segment.

Responsibilities:

Assists in supporting effective data management and governance practices and ensure adherence to the Data Policy and standards; participates in change management practices

Works closely with the Segment Data Manager and team, Data Trustees & Curators, and technology partners across the data lifecycle

Dedicated to the ongoing improvement of data quality within the business segment

Participates in the fit for purpose analysis of data for regulatory and management reporting

Assists in identifying Critical Data Elements (CDEs) and data profiling of CDEs

Assists in the management segment-specific reference data

Supports metadata, business definitions and lineage are mapped into the enterprise-wide tool

Helps manage the inventory of data-related controls on systems that support segment processes and customers

Has basic knowledge of the legal, compliance, and regulatory issues impacting data

Partners with the CDAO (Chief Data & Architecture Office) Data Literacy team to support literacy efforts within the segment Skills:

Knowledgeable of data management and governance policies, standards, metrics, controls, and processes

Strong written and verbal communication skills

Business outcome focused

Problem-solving mindset Experience:

Experience working in a data environment including 1 3 years of hands-on data experience including data management, data quality, and/or data governance

Experience participating in data-related projects or programs

Education:

Bachelors degree or equivalent experience in a relevant field

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