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Information Technology 🏢 Part Time ⭐️ Verified

Data Analyst (Flexible Hours)

DataDriven Innovations
Raleigh
Estimated Salary
USD 70.000 – USD 95.000
New
Live Update
3 Oktober 2026
Deadline
3 Okt 2027

Job Description

Join our dynamic team as a Data Analyst with flexible scheduling options! At DataDriven Innovations, we empower professionals to thrive with work-life balance while tackling impactful data challenges. This hybrid role (3 days in-office, 2 remote) offers 30-40 hours/week with customizable start/end times between 6 AM - 6 PM. Transform raw data into actionable insights that drive strategic decisions in our fast-growing tech ecosystem.

Why You'll Love This Role:

  • Competitive salary with full benefits package (pro-rated for part-time)
  • Flexible scheduling with core collaboration hours (10 AM - 3 PM)
  • Professional development budget + certification support
  • Modern downtown Raleigh workspace with free parking
  • Collaborative culture focused on innovation and impact

Responsibilities

  • Analyze complex datasets using SQL, Python, and R to identify trends and business opportunities
  • Create interactive dashboards and visualizations using Tableau and Power BI
  • Collaborate with cross-functional teams to translate data insights into actionable recommendations
  • Develop automated reporting pipelines to improve data accessibility
  • Present findings to executive stakeholders through compelling data narratives
  • Maintain data integrity through rigorous validation and documentation processes
  • Stay current with emerging analytics tools and industry best practices

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience
  • Expert proficiency in SQL and at least one programming language (Python/R)
  • Advanced skills in data visualization tools (Tableau/Power BI)
  • Strong statistical analysis and business acumen
  • Proven ability to communicate complex insights to non-technical audiences
  • Experience with cloud platforms (AWS/GCP) and data warehousing
  • Portfolio demonstrating impactful data-driven projects

Required Skills

SQL Python R Tableau Power BI Statistical Analysis Data Visualization AWS Data Warehousing

Ready to Take This Challenge?

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