Senior Data Analyst - Personalization & Experimentation

Compunnel, Inc. (old); Texas; On-site; USD 80,000 - 100,000; Full time

Job summary

Compunnel, Inc. is looking for an experienced Data Analyst based in Wisconsin to enhance analytics initiatives within a healthcare environment. This role focuses on building a data-driven framework for effective decision-making, requiring 7+ years in a related field and strong skills in SQL, Power BI, and AI/ML methodologies.

The ideal candidate will conduct in-depth analyses, develop testing frameworks, and collaborate with cross-functional teams to enhance personalization capabilities. This position offers an opportunity to significantly influence data-driven strategies and initiatives.

Qualifications

• Minimum 7 years of experience in Data and Analytics role.
• Experience in hypothesis testing for digital and non-digital experiences.
• Project management and communication skills are essential.

Responsibilities

• Support the development of analytics frameworks for personalization.
• Conduct analysis to evaluate customer experiences.
• Develop and support A/B/N testing frameworks.

Skills

Data-driven analysis

A/B/N testing

Statistical analysis

SQL

AI/ML insights

Cross-functional collaboration

Education

Bachelor's degree in a relevant field

Tools

SQL

Power BI

Tableau

Adobe Analytics

Snowflake

Oracle

Alteryx

Job description

We are seeking an experienced Data Analyst to support data analytics, insights, and personalization measurement initiatives within a healthcare-focused environment. This role will play a critical part in building and supporting a “Test & Learn” measurement framework that enables data-driven business decisions, improves personalization capabilities, and supports scalable analytics processes. The ideal candidate will possess strong expertise in analytics, experimentation methodologies, AI/ML insights, and cross-functional collaboration.

Key Responsibilities

• Support the development and optimization of data-driven measurement and analytics frameworks for personalization initiatives.
• Partner with business and technology teams to support AI/ML and personalization capability adoption across the organization.
• Conduct deep-dive analysis to evaluate digital and non-digital customer experiences and identify actionable insights.
• Develop and support A/B/N testing frameworks across websites, applications, and digital platforms.
• Define success metrics, measurement strategies, and recommendations for personalization and customer engagement initiatives.
• Analyze campaign performance, customer behavior, and personalization effectiveness using statistical and analytical techniques.
• Collaborate with stakeholders across multiple business units and channels to deliver consultative analytics support.
• Interpret AI/ML and predictive model outputs to support business decision-making.
• Work with relational databases and web interaction data to support analytics and reporting initiatives.
• Develop dashboards, reports, and visualizations to communicate complex data insights in a clear and actionable manner.
• Present analytical findings and recommendations to business and technical stakeholders.
• Support cross-functional collaboration and continuous improvement initiatives related to analytics and personalization strategies.

Required Qualifications

• Bachelor’s degree in a relevant field.
• Minimum 7 years of experience in a Data and Analytics role supporting business and technology teams.
• Strong knowledge of analytics techniques including profiling, data mining, statistical analysis, modeling, and campaign measurement.
• Experience performing data-driven analysis and hypothesis testing for digital and non-digital experiences.
• Strong understanding of A/B/N testing methodologies, Design of Experiments, and measurement frameworks.
• Hands-on expertise with SQL, Snowflake, Oracle, Power BI, Tableau, Alteryx, and Adobe Analytics.
• Strong understanding of relational databases and web interaction data analysis.
• Good understanding of AI/ML concepts and predictive model outputs.
• Experience working collaboratively across business units in a consultative capacity.
• Strong project management, presentation, and communication skills.
• Ability to present complex data insights and outcomes in a clear and concise manner.
• Proficiency with Microsoft PowerPoint and other Microsoft Office applications.

Preferred Qualifications

• Experience supporting personalization, customer analytics, or digital experience measurement initiatives.
• Familiarity with enterprise-scale analytics and AI-driven decision-making environments.
• Experience working within cross-functional data and technology teams.