Data Analyst (Fulltime - Phoenix, AZ)

    Highlights

    Gain hands-on experience with AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI solutions, while assisting in the development and testing of AI-powered features and workflows. Work closely with product managers, engineers, data stewards, and business stakeholders to translate business requirements into scalable data and analytics solutions.

    Numbers & Facts

    LocationPhoenix, AZ

    Description

    Job Title - Data Analyst
    Experience - 8+ years
    Location - Phoenix, AZ
    Hire Type - Fulltime
    Must Have Technical/Functional Skills
    SQL , Data Analysis & Analytics, Data Governance, Data Quality Management, Metadata & Data Lineage Management, Reporting & Visualization, Cloud Data Platforms(GCP), Data Integration & ETL, AI/ML Fundamentals
    Responsibilities
    • Analyze and interpret large financial datasets to generate actionable insights, support decision-making, and improve business outcomes.
    • Support data management initiatives, including data quality, data lineage, metadata management, master data management, and data lifecycle processes.
    • Contribute to the implementation and maintenance of data governance frameworks, policies, standards, controls, and regulatory compliance requirements.
    • Collaborate with cross-functional teams to ensure data accuracy, consistency, accessibility, and governance across enterprise data platforms.
    • Assist in the development and maintenance of reporting solutions, dashboards, KPIs, and analytical models to support business and operational needs.
    • Participate in cloud-based data platform initiatives, including data migration, integration, automation, and process optimization activities.
    • Support AI and machine learning initiatives by preparing, validating, and governing datasets used for model development and deployment.
    • Gain hands-on experience with AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI solutions, while assisting in the development and testing of AI-powered features and workflows.
    • Contribute to monitoring, evaluating, and improving data and AI solution performance, reliability, and compliance in production environments.
    • Work closely with product managers, engineers, data stewards, and business stakeholders to translate business requirements into scalable data and analytics solutions.
    • Support the documentation of data governance processes, data dictionaries, business rules, and operational procedures to ensure transparency and compliance.
    • Participate in continuous improvement efforts focused on data quality, governance maturity, automation, and AI adoption across the organization.

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