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Information Technology 🏢 Part Time ⭐️ Verified

Weekend Data Analyst - Boston, MA

DataDriven Solutions Inc.
Boston
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
15 September 2026
Deadline
15 Sep 2027

Job Description

Join DataDriven Solutions Inc. as a Weekend Data Analyst and transform raw data into actionable insights for our Fortune 500 clients. This unique weekend shift opportunity (Saturday-Sunday, 7am-3pm) allows you to work during off-peak hours while delivering high-impact analytics in a dynamic environment. Our Boston-based team thrives on innovation, and you'll play a pivotal role in driving data-driven decisions for leading retail and healthcare organizations.

We offer a collaborative culture, cutting-edge technology stack, and opportunities for professional growth. Perfect for students, parents, or professionals seeking work-life balance without compromising impact.

Responsibilities

  • Analyze complex datasets using SQL, Python, and R to identify trends and business opportunities
  • Create interactive dashboards using Tableau and Power BI for executive stakeholders
  • Develop automated reporting pipelines to deliver weekly performance metrics
  • Collaborate with cross-functional teams to translate business needs into analytical solutions
  • Present findings to leadership through compelling visualizations and executive summaries
  • Maintain data integrity through rigorous quality assurance and validation processes
  • Stay current with industry trends and emerging analytical methodologies

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Mathematics, or related field
  • 3+ years of experience in data analysis or business intelligence
  • Expert proficiency in SQL and at least one programming language (Python/R)
  • Advanced skills in data visualization tools (Tableau, Power BI, or Looker)
  • Strong statistical knowledge and experience with hypothesis testing
  • Experience with cloud platforms (AWS, GCP, or Azure) preferred
  • Exceptional communication skills with ability to translate complex data for non-technical audiences
  • Ability to work independently during weekend shifts with minimal supervision

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis Business Intelligence Cloud Platforms Data Pipeline Development

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