This is a remote position.

About Us: We are the premier source for class action lawsuit and settlement news. Our core mission is to help right consumer wrongs by delivering easy-to-understand news on lawsuits and settlements. Guided by our unwavering commitment to integrity, we uphold a set of Core Values: Lead With Love, Be Trustworthy, Strive For Excellence, and Team Over Self.

Role Overview: We seek a motivated and detail-oriented Lead/Senior Data Analyst to spearhead data-related operations for class action lawsuit settlements and legal marketing. In this role, you will analyze and manage data, providing actionable insights that support the organization’s decision-making processes. You will collaborate closely with cross-functional teams to enhance operational effectiveness through data-driven solutions.

Work Schedule:

• Monday to Friday
• 20 hours per week
• Flexible between 8 AM – 5 PM Phoenix, AZ

Key Responsibilities and Performance Metrics:

1. Data Analysis and Reporting:

• Key Performance Indicators (KPIs): Report Accuracy (≥ 99%), Report Timeliness (≥ 95% on-time delivery), User Satisfaction (≥ 4.5/5)

• Expectations:

  • Create and maintain dashboards and reports that provide actionable insights to improve legal marketing and operational effectiveness.

  • Utilize data visualization tools (Tableau, Looker Studio) to clearly present data to stakeholders.

Predictive Analytics and Modeling:

• KPIs: Model Accuracy (≥ 80%), Model Deployment Time (≤ 3 months), Return on Investment (Positive ROI)

• Expectations:

  • Develop predictive models for settlement forecasting and campaign targeting, ensuring they maintain high predictive accuracy.

  • Lead the deployment of models from development to production within an optimal timeframe.

Data Integrity and Accuracy:

• KPIs: Data Accuracy Rate (≥ 99%), Error Resolution Time (≤ 48 hours), Data Quality Score (≥ 90/100)

• Expectations:

  • Conduct regular data audits and establish validation processes to ensure data integrity.

  • Quickly resolve discrepancies to maintain the highest standards of data accuracy.

Cross-Departmental Collaboration:

• KPIs: Collaboration Effectiveness (≥ 4 cross-department projects/year), Stakeholder Engagement (Monthly meetings with positive feedback), Data Utilization Rate (≥ 85% of departments using data insights)

• Expectations:

  • Work with marketing and legal teams to improve data quality and delivery timelines.

  • Establish a feedback loop with vendors to ensure ongoing data-driven improvements.

Leadership and Mentorship:

• KPIs: Team Development (≥ 20 mentorship hours/year), Employee Growth (≥ 15% improvement in mentee performance), Leadership Effectiveness (≥ 4.5/5 feedback from mentees)

• Expectations:

  • Mentor junior data team members to foster skill development and knowledge sharing.

  • Lead by example in cross-departmental projects, demonstrating strong leadership qualities.

Qualifications:

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field or at least 5 years experience in a similar role with comparable responsibilities. 

• Proficiency in data analysis tools and languages (e.g., Python, SQL, MongoDB).

• Strong analytical and problem-solving skills.

• Experience in legal data or legal marketing is a plus.

Preferred Skills:

• Expertise in data visualization tools such as Tableau or Looker Studio.

• Knowledge of statistical analysis and machine learning techniques.

• Familiarity with digital marketing analytics.