Data Analyst - Data Steward

Mitchell Martin Inc.

Frisco (TX)

Hybrid

USD 57,377 - 81,967

Part time

14 days+

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Job summary

A leading staffing agency is seeking a Data Analyst - Data Steward for a hybrid role based in Frisco, TX or Charlotte, NC. This contract position focuses on maintaining data accuracy to support business analytics initiatives. The ideal candidate will possess strong skills in data management and programming. Responsibilities include leading data curation, creating data products, and collaborating with stakeholders to enhance data quality standards. Competitive hourly pay offered.

Qualifications

Proficiency in data management and programming languages is essential.
Experience in developing data quality rules and managing data hierarchies.
Strong analytical and problem-solving skills mandatory.

Responsibilities

Lead data curation activities for data usability and definition.
Create data products through requirement gathering and testing.
Collaborate with stakeholders to ensure data standards.

Skills

Data management

Programming languages

Data quality rule development

Analytical skills

Communication

Collaboration

Tools

Data Management Tools

Data Visualization Tools

Job description

Title: Data Analyst - Data Steward

Location: Frisco, TX or Charlotte, NC (Hybrid)

Employment Type: Contract (Hybrid) 3 Days Onsite

Compensation

Pay Range: $41.65-$59.50 Per HR

Job Summary

This position offers a hybrid work schedule in either Frisco, TX or Charlotte, NC.
As a contract role, the primary responsibilities include ensuring data accuracy and availability to support business analytics initiatives.
The ideal candidate will utilize advanced data management technologies to maintain and improve data quality.

Key Responsibilities

Lead data curation activities to ensure data definition, lineage, and usability.
Create data products by gathering requirements, programming, and testing large datasets.
Update and enhance processes for data definition quality and lineage.
Collaborate with stakeholders to capture data definitions and assess risks.
Ensure data quality standards are integrated into product development processes.

Qualifications