Note: The job is a remote job and is open to candidates in USA. Inizio Evoke is a dynamic global healthcare platform dedicated to making health more human. The Lead Data Analyst plays a critical role in uncovering insights that drive measurable growth through complex data analysis and collaboration with various teams.

Responsibilities

• Independently — and with our team — investigate complex business problems using a combination of structured and unstructured datasets and analytical tools
• Identify, collect, scrape, store, pre-process, manipulate, merge, model, and analyze large datasets from multiple internal and external sources
• Develop scalable analytical workflows and automate processes that improve the efficiency, repeatability, and speed of insight delivery
• Use Python and modern AI-assisted workflows to rapidly prototype analyses
• Identify meaningful trends, anomalies, and strategic opportunities across healthcare and marketing datasets
• Translate complex analyses into clear, story-driven insights and data visualizations tailored to all partners
• Collaborate with strategists, creative, account, engagement managers, other analysts, and leadership teams
• Operate with ownership, curiosity, and accountability

Skills

• 4–5+ years of experience in analytics, statistical modeling, data strategy, marketing analytics, healthcare analytics, consulting analytics, or related quantitative fields
• Advanced proficiency in Python for data analysis, and automation
• Database and cloud platform fluency for data management (SQL, AWS)
• Experience working with large and different datasets
• Experience building scalable analytical workflows and automating repetitive processes
• Search, social, longitudinal, geographic, digital behavior, media, web traffic, NLP datasets and relational databases
• Statistical modeling (Marketing mix marketing, multi-touch attribution)
• Customer Segmentation and Clustering
• Forecasting and Trend analysis
• Geographic analysis
• Behavioral analysis
• Predictive analysis
• Opportunity sizing
• Triangulating data sources
• Ability to distill complex findings into concise, relevant insights that guide true growth
• Curiosity- with a bias toward innovation, optimization, experimentation, and continuous improvement
• Apply new tools, datasets, and methodologies in evolving analytical environments
• Healthcare and pharmaceutical data is strongly preferred: claims, patient-level, referral, Salesforce notes, syndicated, promotional, market research, web visit, and email data

Benefits

• An exceptional range of flexible benefits
• Personal support
• Tailored learning and development opportunities

Company Overview

Company H1B Sponsorship