Senior Analyst, Decision Science (Client Marketing)
New
T
TopDog LawPersonal injury law
Source API remote eligibility restrictions: United StatesFull-TimeSenior
Salary105,000 - 129,000 USD per year
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Job Details
- Experience
- 5+ years of experience in an analytics or data analyst role
- Required Skills
- SQLSalesforceA/B testing
Requirements
- Have 5+ years of experience in an analytics or data analyst role.
- Demonstrate a track record of influencing business decisions.
- Have advanced SQL proficiency, including complex joins, CTEs, and window functions.
- Have experience with web, email, SMS analytics, and NPS.
- Have experience analyzing CRM data, including Salesforce.
- Have experience using AI tools such as Claude to accelerate analysis and improve your work.
- Have strong fundamentals in experimentation and statistics, including A/B testing and segmentation.
- Be able to explain complex analysis clearly to non-technical stakeholders.
- Preferred: Experience with Braze or a comparable customer engagement platform.
- Preferred: Experience in client retention, customer lifecycle, or customer experience analytics.
- Preferred: Experience with review generation or online reputation management.
- Preferred: Experience in legal, insurance, or other service-based industries.
- Preferred: Familiarity with modern BI and dashboarding tools.
Responsibilities
- Track client performance to identify adoption, engagement, and opportunities to improve the client experience.
- Analyze client retention and engagement across the case lifecycle, including early indicators of disengagement and risk.
- Evaluate email and SMS performance to improve client communications.
- Measure and refine review generation strategies.
- Design and evaluate tests, translating findings into recommendations for Client Marketing.
- Write and maintain SQL for client marketing reporting and analysis.
- Build and maintain dashboards for Client Marketing.
- Prepare performance updates covering goals, results, and forward-looking recommendations.
- Gather and monitor NPS data.
- Use AI tools, including Claude, to build workflows and accelerate analysis; partner with data engineering and decision science to improve data quality.
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