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Knowledge & Innovation Analyst – Litigation
Pillsbury Winthrop Shaw Pittman LLP. Partner with practice leaders and firm leadership to identify business needs and translate them into scalable analytics solutions and reporting tools .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing scalable analytics solutions and reporting tools, with strong proficiency in SQL and experience in business intelligence platforms like Power BI and Tableau. Capable of transforming complex data into actionable insights while ensuring data quality and integrity.
Highest-signal resume keywords
SQL ProficiencyBusiness Intelligence PlatformsData Model DesignPython or R KnowledgeAnalytical Communication Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AnalyticsData ScienceData VisualizationData ManipulationReporting SolutionsAd Hoc AnalysisData GovernanceData Quality MonitoringDashboard DevelopmentStatistical Analysis
Soft Skills
Critical ThinkingCommunication SkillsCollaborationProblem SolvingAttention to Detail
Tools & Technologies
Power BITableauLookerThoughtSpotData WarehouseData Lakehouse
Industry Keywords
Business IntelligenceAnalytics SolutionsOperational TrendsAI Utilization MetricsData Integrity
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Partner with practice leaders and firm leadership to identify business needs and translate them into scalable analytics solutions and reporting tools
- Develop and maintain dashboards and reporting solutions covering matter performance, financial results, operational trends, and AI utilization metrics
- Perform ad hoc analyses and deliver clear, actionable insights for strategic and operational decision-making
- Establish, maintain, and oversee key firm metrics, including data definitions, calculation methodologies, governance standards, and reporting integrity
- Collaborate with engineering teams to support and optimize data models, integrations, transformations, and warehouse/lakehouse layers
- Monitor and promote data quality and integrity by identifying inconsistencies, reporting gaps, and system issues and implementing corrective solutions
- Develop scalable and reusable analytics assets, including standardized data models, documented metrics, and extensible dashboards
- Collaborate with Data Scientists and MLOps / AI Engineering teams to integrate AI utilization and impact metrics into firmwide analytics and reporting solutions
- Partner with Knowledge Management and Innovation teams to ensure business unit data is accurately captured, structured, and leveraged
- Present analytical findings and recommendations clearly and concisely to support informed business and strategic decision-making
Requirements
What you’ll need- Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or related qualitative field, or equivalent experience in lieu of degree
- 3 to 7 years of analytics, business intelligence, or data science experience
- Strong proficiency in SQL and experience with modern business intelligence and data visualization platforms, such as Power BI, Tableau, Looker, or ThoughtSpot
- Demonstrated ability to design and structure effective data models by transforming complex or unstructured data into scalable, efficient, and meaningful reporting solutions
- Working knowledge of Python or R to support advanced analysis, automation, and data manipulation beyond standard BI and SQL capabilities
- Excellent written, verbal, and visual communication skills, with the ability to present complex analytical findings clearly and effectively to executive and business audiences
- Strong analytical and critical-thinking skills, including the ability to validate data accuracy, identify inconsistencies, and apply sound judgment to reporting and analysis
- Ability to sit and stand for extended periods
- Ability to lift up to 15 pounds