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Lead Analyst

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: jobr.pro
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

About Inizio Evoke

In the journey of life, your career should make a difference.

We believe everyone has a purpose at Evoke, and it's everyone's role to make health more human. When you join Evoke, you become part of a dynamic global healthcare platform, agile and innovative. Organized by global practice areas and specialty agencies, we provide access to a uniquely comprehensive offering to solve the most complex of challenges in today's healthcare market.

Your Role

The Lead Data Analyst at Inizio Evoke plays a critical role in uncovering insights that build measurable growth. You will go beyond standard reporting and dashboard development. You will solve complex business questions, identify patterns across fragmented datasets, and develop scalable analytical and modeling approaches that influence marketing, engagement, and growth strategies.

You are analytical, technically fluent, and energized by solving business problems through creative data exploration. You are comfortable navigating complex datasets, integrating multiple data sources, applying AI tools to support your work, automating workflows, and developing relevant insights that help teams move faster. You must also be experienced in presenting analysis to clients.

You Will
  • Independently—and with our team—investigate complex business problems using 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
Strategic Focus Areas
  • HCP and patient segmentation
  • Regional opportunity mapping
  • Referral flow analysis
  • Healthcare ecosystem analysis
  • Behavioral and engagement analytics
  • Marketing mix modeling (MMM) and media investment optimization
  • Diminishing return / response curve modeling for investment levels and channel mix efficiency
  • Competitive intelligence and marketplace assessment
  • Predictive and exploratory modeling
You Have Experience
  • 4-5+ years of experience in analytics, statistical modeling, data strategy, marketing analytics, healthcare analytics, consulting analytics, or related quantitative fields
Technical Skills
  • 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
Data Familiarity
  • Search, social, longitudinal, geographic, digital behavior, media, web traffic, NLP datasets and relational databases
  • Healthcare and pharmaceutical data: claims, patient‑level, referral, Salesforce notes, syndicated, promotional, market research, web visit, and email data
Analytical Thinking
  • 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
Communication & Mindset
  • 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
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