Required Skills

Data Analyst

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 27th Jul 2024

JOB DETAIL

- 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.

Company Information