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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst - Weekend Shift

TechVision Analytics
Baltimore
Estimated Salary
USD 85.000 – USD 110.000
New
Live Update
24 September 2026
Deadline
24 Sep 2027

Job Description

Join TechVision Analytics, a leading innovator in data-driven solutions, as a Data Analyst on our weekend team. This unique opportunity allows you to leverage cutting-edge analytics while enjoying a balanced work schedule. Based in Baltimore's thriving tech hub, you'll transform complex datasets into actionable insights that drive strategic decisions for Fortune 500 clients. Our collaborative environment fosters growth through mentorship, cutting-edge tools, and projects that impact real-world challenges.

Responsibilities

  • Analyze large datasets using SQL, Python, and R to identify trends and business opportunities
  • Create interactive dashboards and visualizations using Tableau/Power BI for executive stakeholders
  • Develop statistical models to forecast market behavior and optimize operational efficiency
  • Collaborate with cross-functional teams to translate business requirements into analytical solutions
  • Present findings to leadership through compelling data narratives and clear recommendations
  • Maintain data integrity through rigorous validation and quality assurance protocols
  • Stay current with emerging analytics tools and methodologies through continuous learning

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis with proven portfolio of projects
  • Advanced proficiency in SQL, Python (Pandas/NumPy), and visualization tools
  • Strong statistical knowledge and experience with A/B testing methodologies
  • Experience with cloud platforms (AWS/GCP/Azure) and big data technologies
  • Exceptional problem-solving skills with attention to detail
  • Ability to work independently and manage time effectively during weekend shifts
  • Excellent communication skills for translating technical insights to non-technical audiences

Required Skills

SQL Python R Tableau Power BI Statistical Analysis Data Visualization AWS Machine Learning

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