Business Data Analyst
Role: Business Data Analyst
Location: Austin, TX or Sunnyvale, CA
Job Description
Key Qualifications:
• Strong proficiency in databases, data visualization and reporting tools such as Oracle, MySQL, SQL Server, Snowflake, Tableau, Business Objects, ThoughtSpot and others.
• Hands-on experience with querying of data and creating data sources to provide analysis and present data to the customers.
• Experienced in data driven approach, implement techniques for data reconciliation in systems with high frequency loads and business critical environments.
• Experience working in Legal domain, understanding of business and practice of law, terminology, and operations.
• Strong data analysis skills along with experience in detailed analysis of source systems, data profiling, measures and KPI definitions.
• Ability to collaborate with business partners within legal and engineering departments on business requirements, system design, data insights, user testing, and product launches.
• Collaboration skills to work with multidisciplinary teams consisting of lawyers, paralegals, and other professionals.
• Understanding of legal and ethical considerations of handling confidential information and maintaining data privacy and security.
• Analytical and problem-solving skills, adept at troubleshooting technical issues related to reporting & data visualization products (e.g. Business Objects and Tableau)
• Understand data visualization principles and best practices, capable of translating sophisticated data into compelling visual stories.
• Should have excellent communication and collaborative skills. Ability to interpret technical lingo to end users.
• Proven track record to excel in a fast-paced agile development team.
• Strong sense of execution and accountability for the overall success of the program.
Additional Requirements:
• Experience using AI/ML for data reconciliation, integrity, integrations, and data insights.
• Experience using TeamConnect or any Legal application is a plus.
• Experience spearheading adoption of Data Management Office (DMO) principles is a plus.
• Understanding of data security and access control best practices.
• Experience in large scale and complex Data Migration projects.
• Understanding of Dimensional Modelling and Data Warehousing concepts.
• Knowledge of data engineering concepts and ETL processes.
• Experience in project collaboration products such as Jira, Quip, Miro, Box
• Experience with a scripting language for data processing and development (e.g., Python, R)
Role: Business Data Analyst
Location: Austin, TX or Sunnyvale, CA
Job Description
Key Qualifications:
• Strong proficiency in databases, data visualization and reporting tools such as Oracle, MySQL, SQL Server, Snowflake, Tableau, Business Objects, ThoughtSpot and others.
• Hands-on experience with querying of data and creating data sources to provide analysis and present data to the customers.
• Experienced in data driven approach, implement techniques for data reconciliation in systems with high frequency loads and business critical environments.
• Experience working in Legal domain, understanding of business and practice of law, terminology, and operations.
• Strong data analysis skills along with experience in detailed analysis of source systems, data profiling, measures and KPI definitions.
• Ability to collaborate with business partners within legal and engineering departments on business requirements, system design, data insights, user testing, and product launches.
• Collaboration skills to work with multidisciplinary teams consisting of lawyers, paralegals, and other professionals.
• Understanding of legal and ethical considerations of handling confidential information and maintaining data privacy and security.
• Analytical and problem-solving skills, adept at troubleshooting technical issues related to reporting & data visualization products (e.g. Business Objects and Tableau)
• Understand data visualization principles and best practices, capable of translating sophisticated data into compelling visual stories.
• Should have excellent communication and collaborative skills. Ability to interpret technical lingo to end users.
• Proven track record to excel in a fast-paced agile development team.
• Strong sense of execution and accountability for the overall success of the program.
Additional Requirements:
• Experience using AI/ML for data reconciliation, integrity, integrations, and data insights.
• Experience using TeamConnect or any Legal application is a plus.
• Experience spearheading adoption of Data Management Office (DMO) principles is a plus.
• Understanding of data security and access control best practices.
• Experience in large scale and complex Data Migration projects.
• Understanding of Dimensional Modelling and Data Warehousing concepts.
• Knowledge of data engineering concepts and ETL processes.
• Experience in project collaboration products such as Jira, Quip, Miro, Box
• Experience with a scripting language for data processing and development (e.g., Python, R)
