Data Analyst

This is a fully remote position, open to applicants in Illinois, +2 more states.

📋 Description

• Work both independently and collaboratively with our team to explore intricate business challenges utilizing a mix of structured and unstructured datasets alongside analytical tools.

• Identify, gather, scrape, store, preprocess, manipulate, merge, model, and analyze substantial datasets from various internal and external sources.

• Create scalable analytical workflows and automate processes that enhance efficiency, consistency, and the speed of insight delivery.

• Employ Python and contemporary AI-assisted workflows to quickly prototype analyses.

• Detect significant trends, anomalies, and strategic opportunities within healthcare and marketing datasets.

• Convert complex analyses into clear, narrative-driven insights and data visualizations designed for all stakeholders.

• Collaborate with strategists, creative teams, account managers, engagement managers, fellow analysts, and leadership teams.

• Function with a sense of ownership, curiosity, and accountability.

⛳️ Requirements

• Over 2 years of experience in analytics, statistical modeling, data strategy, marketing analytics, healthcare analytics, consulting analytics, or other related quantitative domains.

• Proficient in Python for data analysis and automation tasks.

• Familiarity with database and cloud platforms for effective data management (SQL, AWS).

• Experience in handling large and diverse datasets.

• Background in developing scalable analytical workflows and automating repetitive processes.

• Knowledge of search, social, longitudinal, geographic, digital behavior, media, web traffic, NLP datasets, and relational databases.

• Preferred experience with healthcare and pharmaceutical data, including claims, patient-level, referral, Salesforce notes, syndicated, promotional, market research, web visit, and email data.

• Expertise in statistical modeling such as marketing mix modeling and multi-touch attribution.

• Experience in customer segmentation and clustering.

• Skills in forecasting and trend analysis.

• Proficiency in geographic analysis.

• Capabilities in behavioral analysis.

• Knowledge of predictive analysis.

• Ability to size opportunities.

• Skill in triangulating data sources.

• Capacity to distill complex findings into succinct, pertinent insights that drive substantial growth.

• A curious mindset with a focus on innovation, optimization, experimentation, and continuous improvement.

🏝️ Benefits

• Flexible benefits.

• Personal support.

• Customized learning and development opportunities.