Litera is looking to solve the problem of improving how law is practiced by delivering transformational solutions to law firms and corporate legal teams, and is leading the legal AI revolution.
Requirements
- Proficiency in SQL and experience with Power BI or other data visualization tools.
- Experience with data modeling, ETL processes, and data warehousing.
- Experienced in integrating and analyzing data from multiple sources such as Salesforce, Jira, and Pendo.
- Experience with Snowflake, Rivery, dbt, or Azure Data Factory is a plus.
- Experience with Power BI Copilot or other AI assisted reporting tools is a plus.
Responsibilities
- Analyze large volumes of structured and unstructured product usage, sales & marketing, and internal engineering data to identify actionable insights and trends.
- Translate complex data findings into clear, concise, and compelling narratives for both technical and non-technical audiences.
- Identify and resolve data quality issues by working with data engineering and business teams to ensure accuracy and consistency across reporting systems.
- Partner with data engineering, data architecture, and BI analysts to design and evolve scalable data models and reports in Power BI.
- Support internal teams by developing and executing SQL queries to conduct ad-hoc analyses and deep dives into data to investigate anomalies or reported issues.
- Drive accountability by maintaining Engineering and Product KPIs/Metrics that track the progress and performance of the overall business against business goals, including process improvement, assumptions package, KPIs/reporting, etc.
Other
- Collaborate with stakeholders to translate business needs into clear requirements and define meaningful metrics and KPIs.
- Proven abilities to take initiative and be innovative.
- Excellent problem-solving and critical thinking abilities with a detail-oriented and analytical mindset.
- Ability to translate complex data into actionable insights and business recommendations.
- Effective communication skills with the ability to collaborate effectively across technical and non-technical teams.
- Self-starter with a proactive attitude and a passion for continuous learning and innovation.
