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Information Technology 🏢 Part Time ⭐️ Verified

Part-Time Data Analyst

DataFlow Solutions
Chicago
Estimated Salary
USD 28 – USD 40
Live Update
17 Agustus 2026
Deadline
17 Agu 2027

Job Description

Join DataFlow Solutions as a Part-Time Data Analyst and transform raw data into strategic business intelligence. We're a cutting-edge tech firm revolutionizing data-driven decision-making across industries. This flexible role offers remote-first collaboration with our Chicago-based team, allowing you to work 20-25 hours weekly while making impactful contributions to our clients' success.

You'll leverage our proprietary analytics platform to uncover hidden patterns, create compelling visualizations, and deliver actionable insights that drive growth. Perfect for students, career switchers, or professionals seeking work-life balance without compromising technical excellence.

Responsibilities

  • Design and execute SQL queries to extract, clean, and analyze complex datasets
  • Develop interactive dashboards using Tableau and Power BI for stakeholder presentations
  • Perform statistical modeling and predictive analytics to identify market trends
  • Collaborate with cross-functional teams to translate business requirements into data solutions
  • Automate reporting workflows using Python (Pandas, NumPy) and R
  • Validate data integrity and implement quality control measures
  • Present findings to executive leadership through concise executive summaries

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 2+ years of professional data analysis experience with portfolio demonstrating real-world projects
  • Advanced proficiency in SQL (PostgreSQL, MySQL) and database management
  • Expertise in data visualization tools (Tableau, Power BI, Looker)
  • Strong programming skills in Python or R for data manipulation
  • Experience with statistical analysis and A/B testing methodologies
  • Exceptional communication skills with ability to translate technical concepts for non-technical audiences
  • Proven ability to manage deadlines and deliver results in fast-paced environments

Required Skills

Data Analysis SQL Python Tableau Power BI Statistical Modeling Data Visualization A/B Testing ETL Processes R Programming

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