Senior Data Analyst - CS Ops & Insights (AI-Driven)

Openkrill; United States; Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Healthcare insurance

Wellness programs

Paid time off

Job summary

Docplanner Group seeks an analytics-driven professional to join Global Customer Success Operations & Analytics. You will partner with the VP of a business line, deliver dashboards, data models, and predictive analyses to grow the business across 13 markets.

You’ll bridge BI, Data Platform, and Product Analytics, prioritise requests, and drive experiments while leveraging AI-first approaches and standardized libraries.

Qualifications

• Degree in a quantitative field (Engineering, Statistics, Mathematics, Physics, or similar)
• 3+ years of analytics experience as an individual contributor
• Strong SQL skills and Python for statistical modelling
• Experience building dashboards for non-technical audiences
• Experience with Looker and/or Tableau and BI dashboards

Responsibilities

• Build and maintain recurring reporting, dashboards, and data models for the business line
• Develop automations that scale across markets
• Ensure outputs align with BI standards and close gaps proactively
• Advance analytical modelling, including regression, forecasting, and prediction
• Lead experiments (A/B tests) and translate results into actionable insights
• Collaborate with BI, Data Platform, and Product Analytics teams to deliver impact

Skills

SQL

Python

Looker/Tableau

English fluency

Stakeholder communication

Cross-functional collaboration

Education

Degree in a quantitative field

Tools

Looker

Tableau

BigQuery

Job description

Docplanner Group seeks an analytics-driven professional to join Global Customer Success Operations & Analytics. You will partner with the VP of a business line, deliver dashboards, data models, and predictive analyses to grow the business across 13 markets.

You’ll bridge BI, Data Platform, and Product Analytics, prioritise requests, and drive experiments while leveraging AI-first approaches and standardized libraries.