What are the responsibilities and job description for the Data Analyst (Fulltime - Phoenix, AZ) position at K&K Global Talent Solutions?
Job Title - Data Analyst
Experience - 8 years
Location - Phoenix, AZ
Hire Type - Fulltime
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(Google Cloud Platform), Data Integration & ETL, AI/ML Fundamentals
Responsibilities
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Analyze and interpret large financial datasets to generate actionable insights, support decision-making, and improve business outcomes.
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Support data management initiatives, including data quality, data lineage, metadata management, master data management, and data lifecycle processes.
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Contribute to the implementation and maintenance of data governance frameworks, policies, standards, controls, and regulatory compliance requirements.
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Collaborate with cross-functional teams to ensure data accuracy, consistency, accessibility, and governance across enterprise data platforms.
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Assist in the development and maintenance of reporting solutions, dashboards, KPIs, and analytical models to support business and operational needs.
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Participate in cloud-based data platform initiatives, including data migration, integration, automation, and process optimization activities.
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Support AI and machine learning initiatives by preparing, validating, and governing datasets used for model development and deployment.
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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.
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Contribute to monitoring, evaluating, and improving data and AI solution performance, reliability, and compliance in production environments.
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Work closely with product managers, engineers, data stewards, and business stakeholders to translate business requirements into scalable data and analytics solutions.
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Support the documentation of data governance processes, data dictionaries, business rules, and operational procedures to ensure transparency and compliance.
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Participate in continuous improvement efforts focused on data quality, governance maturity, automation, and AI adoption across the organization.