Data Analyst

Requirement ID: 94430-1
Title: Data Analyst
Pay range: $40 - $45/hr
Location: Phoenix, AZ
Duration: 6 months
Job Description:
We are seeking a highly motivated Data Analyst to support enterprise data management, governance, analytics, and emerging AI initiatives within a regulated financial services environment. The ideal candidate will possess strong expertise in data analysis, data governance, data quality management, reporting, and cloud-based data platforms, along with foundational knowledge of AI/ML technologies.

This role will collaborate closely with business stakeholders, data stewards, engineers, and product teams to ensure the availability of high-quality, trusted, and compliant data assets while supporting the organization's AI-driven transformation initiatives.

Key Responsibilities

Data Analysis & Reporting

• Analyze large financial and operational datasets to identify trends, patterns, risks, and business opportunities.
• Develop and maintain dashboards, KPIs, scorecards, and analytical reports using visualization tools.
• Translate business requirements into actionable data insights and reporting solutions.
• Support strategic and operational decision-making through data-driven recommendations.

Data Governance & Data Management

• Implement and maintain enterprise data governance policies, standards, and controls.
• Manage data quality initiatives, including profiling, monitoring, validation, and remediation activities.
• Support metadata management, data lineage, master data management (MDM), and data catalog initiatives.
• Maintain data dictionaries, business glossaries, governance documentation, and stewardship processes.
• Ensure compliance with regulatory and organizational data governance requirements.

Cloud Data Platforms & Integration

• Support cloud-based data platform initiatives using Google Cloud Platform (GCP).
• Participate in data migration, integration, ETL, and automation projects.
• Collaborate with engineering teams to improve data accessibility, reliability, and scalability.
• Assist in data lifecycle management and process optimization efforts.

AI & Emerging Technology Support

• Prepare, validate, and govern datasets used for AI and Machine Learning solutions.
• Support AI initiatives involving:
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Agentic AI
  • Machine Learning Models
• Assist in testing, monitoring, and evaluating AI-powered applications and workflows.
• Ensure AI-related data assets meet governance, compliance, and quality standards.

Stakeholder Collaboration

• Partner with product managers, engineers, business analysts, compliance teams, and data stewards.
• Gather business requirements and translate them into scalable data and analytics solutions.
• Support governance councils, data stewardship activities, and cross-functional initiatives.

Required Skills & Qualifications

• 5 6 years of experience in Data Analysis, Data Management, or Data Governance roles.
• Strong SQL expertise for data extraction, analysis, validation, and reporting.
• Experience with Data Governance frameworks and best practices.
• Hands-on experience with:
  • Data Quality Management
  • Metadata Management
  • Data Lineage
  • Master Data Management (MDM)
  • Data Stewardship
• Experience with reporting and visualization tools such as:
  • Power BI
  • Tableau
  • Looker
• Knowledge of ETL processes and data integration methodologies.
• Experience working with cloud platforms, preferably Google Cloud Platform (GCP).
• Strong analytical, problem-solving, and stakeholder management skills.
• Excellent written and verbal communication abilities.

Preferred Qualifications

• Experience within Financial Services, Banking, Insurance, or other regulated industries.
• Exposure to AI/ML concepts and technologies.
• Familiarity with:
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Agentic AI
  • Machine Learning workflows
• Understanding of regulatory compliance, risk management, and data privacy requirements.
• Experience with cloud technologies such as AWS or Azure in addition to GCP.
• Knowledge of data catalog and governance tools.

Essential Skills

• SQL
• Data Analysis & Analytics
• Data Governance
• Data Quality Management
• Metadata Management
• Data Lineage
• Master Data Management (MDM)
• Reporting & Visualization
• Power BI / Tableau / Looker
• Google Cloud Platform (GCP)
• Data Integration
• ETL
• Regulatory Compliance
• AI/ML Fundamentals
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Agentic AI
• Stakeholder Management

• Inclusive and diverse work environment
• Opportunities for professional growth and development
• Comprehensive health and wellness benefits