Data Analyst with AI

 Data Analyst With AI Experience

Location: Cupertino or Austin

Client: Apple

Previously worked from Tech Clients like Meta, Google, Apple, Microsoft

Not from- Health care, banking, Finance and inshurance background 

• 10+ years of experience delivering data engineering, analytics, and business intelligence solutions in legal, corporate, and highly regulated environments.
• Design and develop scalable ETL/ELT pipelines, data integration frameworks, and cloud-based data architectures to support enterprise reporting and AI initiatives.
• Advanced SQL and Python skills for data extraction, transformation, automation, optimization, analytics, and machine learning applications.
• Extensive experience with SQL Server, Oracle, PostgreSQL, MySQL, Snowflake, and Azure-based data platforms.
• Build semantic layer and executive dashboards, KPI scorecards, and operational reporting solutions using Business Objects, Tableau.
• Implement data governance, master data management (MDM), metadata management, and data quality frameworks to ensure compliance and data integrity.
• Support legal, finance, procurement, and executive stakeholders with actionable insights that drive strategic decision-making and operational efficiency.
• Leverage AI-powered tools and generative AI technologies to automate workflows, enhance analytics, improve documentation, and increase productivity.
• Lead data cleansing, reconciliation, validation, and root-cause analysis initiatives to improve reporting accuracy and business confidence.
• Ensure adherence to information security, privacy regulations, and governance standards for sensitive legal and corporate data.
• Collaborate with cross-functional teams using Agile and modern data engineering practices to deliver scalable, business-focused solutions.
• Drive process improvement, automation, cloud migration, and enterprise data transformation initiatives that reduce manual effort and accelerate analytics capabilities.
• Develop AI-ready datasets by ensuring data completeness, consistency, accuracy, timeliness, and governance compliance across enterprise data ecosystems.
• Experience with legal technology platforms including TeamConnect, Litify, Onit, and other Legal Matter Management and eBilling solutions.
• Expert in data modeling and architecture best practices, designing scalable conceptual, logical, and physical data models, dimensional schemas, and governed data structures that enable high-performance analytics, business intelligence, and AI-ready data platforms.