Sr. Data Analyst

4 days ago

Sunnyvale, United States Red Oak Technologies Full time

Sunnyvale, CA or Austin, TX (HYBRID, 3 days onsite/2 days remote)


- 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.

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