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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst - Weekly Pay

Nexus Analytics Group
Boston
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
15 Oktober 2026
Deadline
15 Okt 2027

Job Description

Join our dynamic team at Nexus Analytics Group and enjoy the financial flexibility of weekly pay! We're seeking a detail-oriented Data Analyst to transform complex datasets into actionable insights for our Boston-based clients. This full-time role offers competitive compensation, comprehensive benefits, and the unique advantage of receiving your paycheck every single week – no more waiting for monthly cycles!

As a key member of our analytics division, you'll work with cutting-edge tools to drive data-driven decision making across finance, marketing, and operations. Our collaborative environment encourages continuous learning, and we provide ongoing training to keep your skills at the industry forefront.

Responsibilities

  • Analyze large datasets using SQL, Python, and visualization tools to identify trends and opportunities
  • Develop automated reporting dashboards for executive stakeholders
  • Collaborate with cross-functional teams to define data requirements and KPIs
  • Present findings through clear, compelling visualizations and executive summaries
  • Implement data quality controls and improve data pipeline efficiency
  • Conduct A/B testing and statistical analysis to optimize business strategies
  • Stay current with industry trends and emerging analytics technologies

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience
  • Proficiency in SQL, Python (Pandas, NumPy), and data visualization tools (Tableau/Power BI)
  • Strong statistical analysis and hypothesis testing skills
  • Experience with cloud platforms (AWS/GCP/Azure) and ETL processes
  • Excellent communication skills for translating technical concepts to non-technical audiences
  • Proven ability to manage multiple projects and meet deadlines in fast-paced environments
  • Portfolio demonstrating complex data analysis projects

Required Skills

SQL Python Data Visualization Statistical Analysis ETL AWS Tableau Data Mining

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