Data Analyst

Tata Consultancy Services; Phoenix (AZ); On-site; USD 100,000 - 110,000; Full time

Job summary

Tata Consultancy Services in Phoenix is seeking a Data Analyst / Data Management & Governance Professional to analyze, govern, and manage financial data while enabling AI-enabled solutions. You will collaborate with engineers, product managers, data stewards, and business stakeholders to ensure high-quality, reliable, and compliant data assets that drive business decisions and customer-facing solutions.

This role provides opportunities to deepen expertise in data analytics, governance, and cloud

Qualifications

• Experience in Data Analysis, Data Governance, Data Quality, and regulatory compliance.
• Proficiency with SQL and data visualization tools (Power BI, Tableau, Looker).
• Familiarity with cloud platforms (GCP/AWS/Azure) and AI concepts.

Responsibilities

• Analyze and interpret large financial datasets to generate actionable insights and support decisions.
• Support data management initiatives including data quality, lineage, and metadata management.
• Develop and maintain reporting solutions, dashboards, and KPIs.
• Participate in cloud-based data platform initiatives and data migration/automation.
• Assist in preparing datasets for AI/ML model development and deployment.
• Collaborate with engineers, product managers, data stewards, and stakeholders to ensure data governance and compliance.

Skills

SQL

Data Analysis

Analytics

Data Governance

Data Quality Management

Metadata & Data Lineage

Reporting & Visualization

Cloud Data Platforms (GCP)

Data Integration & ETL

AI/ML Fundamentals

Tools

Power BI

Tableau

Looker

GCP

AWS

Azure

Job description

Job Description

Data Analyst

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

The Role

As a Data Analyst / Data Management & Governance Professional with Emerging AI Experience, you will play a key role in analyzing, managing, and governing financial data while supporting the development and implementation of AI-enabled solutions. You will collaborate with engineers, product managers, data stewards, and business stakeholders to ensure high-quality, reliable, and compliant data assets that drive business decisions and customer-facing solutions.

This role provides opportunities to deepen your expertise in data analytics, data management, data governance, reporting, regulatory compliance, and cloud-based data platforms, while gaining hands-on exposure to Artificial Intelligence (AI), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI technologies. Working within a highly regulated financial environment, you will contribute to building scalable data solutions and support AI initiatives under the guidance of experienced engineers and data leaders.

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.

Preferred Skills & Experience

• Experience in Data Analysis, Data Management, Data Governance, Data Quality, Reporting, and Regulatory Compliance.
• Knowledge of SQL, data visualization tools (Power BI, Tableau, Looker, etc.), and cloud-based data platforms.
• Understanding of data governance concepts, including metadata management, data lineage, data stewardship, and data controls.
• Exposure to cloud technologies such as Google Cloud Platform (GCP), AWS, or Azure.
• Beginner-level knowledge or hands-on experience with Artificial Intelligence (AI), Machine Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or Agentic AI concepts.
• Strong analytical, problem-solving, communication, and stakeholder management skills.

Salary Range- $100,000-$110,000 a year