Senior Data Analyst

simplepractice55

United States

Remote

USD 128,000 - 150,000

Full time

2 days ago
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Benefits offered by this job

Medical coverage
Dental coverage
Vision coverage
Life insurance
Disability coverage
401(k) with employer match
Flexible time off
Wellbeing days
Paid holidays
Summer Fridays
Mental health resources
Parental leave
Backup care
Tuition reimbursement
Employee resource groups

Job summary

simplepractice55 is seeking a Senior Analytics Individual Contributor to drive data-informed product and business decisions. You will design metrics, build dashboards, model data, and apply advanced analytics with strong collaboration across product, design, and engineering teams.

The role includes mentoring colleagues, establishing analytics best practices, and communicating complex insights to diverse stakeholders.

Qualifications

  • 7+ years of data analysis experience including mentoring.
  • Advanced SQL and Python; dashboarding in Tableau or BI tool.
  • Ability to apply predictive modeling to business questions.
  • Strong written and verbal communication; explain findings to nontechnical stakeholders.
  • Proven ability to manage multiple projects and collaborate across teams.

Responsibilities

  • Build automated reports, dashboards, and metric frameworks for product and business teams.
  • Query and analyze complex datasets to identify trends and inform product priorities.
  • Partner with product, design, and engineering to define success measures and impact.
  • Apply statistical methods including predictive modeling to forecast trends.
  • Develop scalable data models that combine multiple sources with accuracy.
  • Explain findings clearly to varied audiences and mentor colleagues on analytics practices.

Skills

Advanced SQL
Python
Tableau / BI tools
Mentoring others
Data visualization
Data modeling
Statistical methods
Cross-functional collaboration
Problem solving

Tools

dbt Cloud

Job description

Role overview

Use analytics to help teams make better product and business decisions. This senior individual contributor role spans metric design, reporting, data modeling, and advanced analysis, with close collaboration across product, design, engineering, and other stakeholder groups. It also includes mentoring colleagues and helping establish sound analytics practices.

Responsibilities
  • - Build automated reports, dashboards, and metric frameworks that make reliable data accessible to product and business teams.
  • - Query and analyze complex datasets to identify trends, explain performance, and inform product priorities and leadership decisions.
  • - Partner with product, design, and engineering teams to define success measures, assess impact, and support ongoing improvements.
  • - Apply statistical and advanced analytical methods, including predictive approaches, to forecast trends and improve decisions.
  • - Develop scalable data models that combine multiple sources while maintaining accuracy and accessibility.
  • - Explain findings and recommendations clearly to varied audiences, and mentor team members on analytics and reporting practices.
Requirements
  • - Seven or more years of data analysis or analytics experience, including a record of mentoring others.
  • - Advanced SQL and Python skills, and experience building dashboards in Tableau or a comparable business intelligence tool.
  • - Ability to interpret complex data and apply methods such as predictive modeling to business questions.
  • - Strong written and verbal communication skills, including explaining technical findings to nontechnical stakeholders.
  • - Proven ability to manage multiple projects and collaborate across teams.
Nice to have
  • - Experience with dbt Cloud or similar tools, data transformation pipelines, and data warehouse practices.
  • - Familiarity with regression, hypothesis testing, or multivariate analysis.
Benefits and work setup

The posted annual base compensation range is USD $128,000–$150,000.

  • medical, dental, vision, life, and disability coverage
  • a 401(k) with employer match
  • flexible time off, wellbeing days, paid holidays, and summer Fridays
  • mental health resources
  • parental leave and backup care
  • tuition reimbursement
  • employee resource groups
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