🛠 Tech Stack

💼 About This Role

You'll own critical data analysis, cleaning, and validation processes supporting Simpluris' operational systems. You'll work with transactional and case-related datasets to ensure data quality before upload. This role is essential as we scale our data operations for increasingly complex client matters.

🎯 What You'll Do

• Analyze, clean, validate, and transform client-provided data from diverse sources
• Execute SQL queries and Python scripts to process large transactional datasets
• Investigate data quality issues and present findings to project managers
• Collaborate with internal teams to resolve data-related issues

📋 Requirements

• Bachelor's degree in Computer Science, Statistics, or related field
• Proven experience as a data analyst with large record-based datasets
• Proficiency in Python (pandas) for data cleaning and transformation
• Strong SQL skills for data extraction and validation

✨ Nice to Have

• Experience with large transactional datasets involving payments or claims
• Background in class action or legal administration
• Familiarity with securities-related data such as transactions or holdings

🎁 Benefits & Perks

• 💰 Competitive pay range $67,000 - $83,000
• 🏥 Health and wellness benefits
• 📈 Retirement savings plans
• 👶 Parental leave

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min