Data Analyst

Digital Factory
Chicago, IL, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Microsoft Excel Data Analysis Document-Oriented Databases SQL Databases Data Processing Information Technology Data Analytics

Job description

We are currently seeking a Data Analyst to transform complex data into meaningful insights that support healthcare innovation, product development, and business decision-making. The Data Analyst will collect, clean, analyze, and interpret data from multiple sources to identify trends, measure performance, and develop actionable reports and visualizations. This role will contribute to the analysis of patient engagement, location-based activity, behavioral trends, and platform performance while helping translate data into insights that support healthcare organizations and their members. The ideal candidate combines strong analytical and technical skills with curiosity, attention to detail, and an interest in using data to improve healthcare experiences and outcomes. This opportunity is offered on an equity-only basis as we continue to scale. There is no salary or hourly compensation at this time., * Collect, clean, validate, and analyze structured data from multiple sources.

  • Identify trends, patterns, correlations, and opportunities within healthcare, behavioral, engagement, and location-based datasets.
  • Analyze patient and member engagement metrics to help assess the effectiveness of digital health initiatives.
  • Evaluate platform usage, user behavior, and engagement with health-related notifications and recommendations.
  • Develop repeatable analytical processes to improve data accuracy, consistency, and efficiency.
  • Investigate data discrepancies and collaborate with technical teams to resolve data quality issues.
  • Develop dashboards, reports, and visualizations to communicate findings to internal stakeholders.
  • Create performance reports that track key business, product, and customer engagement metrics.
  • Translate complex datasets into clear, understandable insights and recommendations.
  • Monitor key performance indicators and identify changes that may require further investigation.
  • Present analytical findings to leadership, product teams, and business stakeholders.
  • Support the development of standardized reporting tools and analytical documentation.
  • Analyze location-based and behavioral data to identify patterns relevant to healthcare engagement and wellness initiatives.
  • Support the evaluation of patient journeys, lifestyle behaviors, and member interactions with digital health solutions.
  • Help assess the effectiveness of location-aware notifications, wellness programs, and engagement strategies.
  • Ensure that analytical work follows applicable privacy, security, and data-governance requirements.
  • Establish and maintain data validation processes to support accurate reporting.
  • Identify missing, inconsistent, duplicate, or anomalous data.
  • Document data definitions, assumptions, methodologies, and analytical procedures.
  • Support the development of reliable data models and reporting standards.
  • Handle sensitive healthcare-related information responsibly and in accordance with applicable policies and requirements.
  • Translate business questions into analytical requirements and measurable outcomes.
  • Help identify opportunities to use data to improve platform functionality and customer value.

Requirements

  • Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Public Health, Business Analytics, or a related field. Master’s degree desirable.
  • 3+ years of experience in data analysis, business intelligence, reporting, or a related analytical role.
  • Proficiency in SQL for querying, extracting, and analyzing data.
  • Experience with Excel or Google Sheets for data manipulation and analysis.
  • Strong analytical, quantitative, and problem-solving skills.
  • Ability to interpret data and communicate findings to technical and nontechnical audiences.
  • Excellent attention to detail and organizational skills.
  • Ability to manage multiple priorities and work collaboratively in a fast-paced environment.

Benefits & conditions

This is an equity-only, fractional leadership opportunity. There is no salary or hourly compensation at this time.

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Apply on www.dgtl-factory.com
Prepare application

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