Business Intelligence Data Analyst

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SimplePractice

πŸ’΅ $100k-$125k
πŸ“Remote - United States

Summary

Join SimplePractice's Customer Success team as a Business Intelligence Data Analyst, leveraging your 3+ years of experience to translate data into actionable insights. Partner with leadership to define and analyze KPIs, build and maintain SQL-based reports and dashboards using BI tools, and monitor customer engagement metrics. Collaborate with cross-functional teams to access and model data, ensuring accuracy and consistency. Your expertise in SQL and data storytelling will be crucial in identifying trends and building impactful visualizations. This role requires advanced SQL skills and experience with BI tools. A bachelor's degree in a related field is required (Master's preferred).

Requirements

  • A bachelor's degree in Computer Science, Information Systems, Data Science, Business Analytics, or a related field (Masters degree preferred)
  • 6+ years of experience in a data analyst, business intelligence, or related role
  • Advanced SQL skills and experience working with relational databases
  • Hands-on experience with BI/reporting tools (e.g., Tableau, Looker, Power BI)
  • Strong analytical thinking and ability to distill complex data into clear insights
  • Experience working with or supporting Customer Success, Customer Experience, or similar customer-facing teams
  • Excellent communication and stakeholder management skills
  • Ability to work independently and manage multiple priorities in a fast-paced environment

Responsibilities

  • Partner with Customer Success leadership to define, track, and analyze key performance indicators (KPIs)
  • Build and maintain SQL-based queries, reports, and dashboards using BI tools (e.g., Tableau, Looker, PowerBI)
  • Translate business needs into analytical frameworks and actionable insights
  • Monitor and report on customer engagement, retention, onboarding, and different channel (phone, chat, email) support metrics
  • Collaborate cross-functionally with Product, Engineering and Data Engineering teams to access and model relevant data
  • Ensure data accuracy, integrity, and consistency across reporting sources

Preferred Qualifications

  • Experience with customer lifecycle analysis
  • Familiarity with dbt, Snowflake, or cloud data warehouses

Benefits

  • Medical, dental, vision, life & disability insurance
  • 401(k) plan with company match
  • Flexible Time Off (FTO), wellbeing days, paid holidays, and summer Fridays
  • Mental health resources
  • Paid parental leave & Backup Care
  • Tuition reimbursement
  • Employee Resource Groups (ERGs)

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