Data Governance & Analytics Specialist - Onsite

Expert Technology Services; Phoenix (AZ); On-site; USD 70,000 - 110,000; Full time

Job summary

Expert Technology Services in Phoenix, AZ is seeking a data analytics and governance professional. You will analyze large financial datasets, ensure data quality, lineage, and metadata, and implement governance frameworks while collaborating with engineers, stewards, and business stakeholders.

You will develop reports, dashboards, KPIs, and analytical models; contribute to AI/ML initiatives by preparing datasets and supporting model development and deployment.

Qualifications

• 2–4 years of relevant experience in data analytics, governance, or data management.
• Experience analyzing large financial datasets to generate actionable insights.
• Experience implementing data governance frameworks, policies, and controls.

Responsibilities

• Analyze and interpret large datasets to generate business insights.
• Support data quality, lineage, metadata, and lifecycle initiatives.
• Develop and maintain dashboards, KPIs, and analytical models.
• Collaborate with engineers, data stewards, product managers, and stakeholders.
• Prepare and govern datasets for AI/ML model development.
• Document data dictionaries, governance processes, and procedures.

Skills

SQL

Data Analysis

Data Governance

Data Quality Management

Metadata & Data Lineage

Data Reporting

Data Visualization

Cloud Data Platforms (GCP)

Data Integration & ETL

AI/ML Fundamentals

Regulatory Compliance

Education

Bachelor's Degree in Computer Science or related field

Tools

Power BI

Tableau

Looker

GCP

AWS

Azure

Job description

Expert Technology Services in Phoenix, AZ is seeking a data analytics and governance professional. You will analyze large financial datasets, ensure data quality, lineage, and metadata, and implement governance frameworks while collaborating with engineers, stewards, and business stakeholders.

You will develop reports, dashboards, KPIs, and analytical models; contribute to AI/ML initiatives by preparing datasets and supporting model development and deployment.