Sr. Data Analyst

Title - Sr. Data Analyst.

Location - Sunnyvale, CA or Austin, TX ( Hybrid )

Client - Apple.

Rate - $55 / hr. on W2 l $60 / hr. 1099 ( Some Flex couple of $ )

As always, I will give ex-Apple a high priority when submit to manager.

Qualifications :

• Bachelor's degree in data science, Information Management, Computer Science, or a related field. Master's degree preferred.
• Proven experience as a Data Analyst, Business Analyst, Data Scientist, or in a similar role, with a strong background in data integrity and management.
• Expertise in data cleaning, data modeling, statistical analysis, and data visualization techniques.
• Proficiency in SQL, Python / R
• Data visualization tools like (Tableau or BusinessObjects).
• Proficiency in AI / ML for entity extraction, anomaly detection, predictive analytics, text generation, tagging, etc.
• Experience in data migration and technology transformation programs (Snowflake, Salesforce)
• Solid understanding of data governance principles, regulatory compliance (e.g., GDPR, CCPA), and best practices in data management.

Highly Desirable :

• Experience in functional department such as Legal, Finance, Procurement, or People would be a big plus.
• Experience in establishing or managing a Data Management Office (DMO) is highly desirable.

Key Responsibilities :

• Develop and implement comprehensive data quality standards, policies, and procedures specific to legal department data.
• Lead initiatives to establish a Data Management Office (DMO) within the legal department, overseeing data governance, data stewardship, and compliance with data management policies.
• Champion data management efforts to increase AI adoption and support data-driven decision making.
• Clean and preprocess legal department data to ensure accuracy, completeness, and reliability for analysis and reporting.
• Create and maintain robust data models that facilitate comprehensive analysis and visualization of legal data.
• Recommend AI / ML techniques to manage data integrity, enrich core datasets, extract value from unstructured data, and automate manual data processing workflows.
• Collaborate with business stakeholders to identify use cases for Generative AI, evaluate suitable internal tools, and drive roadmap to implement AI feature for enterprise use cases.
• Develop and maintain reports, dashboards, and visualizations that effectively communicate key metrics and performance indicators (KPIs) to stakeholders.
• Define and monitor business KPIs related to legal operations, ensuring alignment with departmental goals and objectives.
• Analyze complex datasets to extract meaningful insights and trends that inform strategic decision-making within the legal department.
• Collaborate closely with IT teams to implement data validation rules, automated checks, and data quality improvement initiatives.
• Conduct regular audits and assessments of legal department data to identify and resolve data quality issues and discrepancies.
• Provide mentorship and guidance to junior analysts on data management best practices, data analysis techniques, and visualization tools.
• Stay current with industry trends and advancements in data management, analytics, and regulatory compliance.
7 hours ago