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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst (Weekend Shift)

TechNova Solutions
Baltimore
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
3 September 2026
Deadline
3 Sep 2027

Job Description

Join TechNova Solutions, a leading innovator in data-driven technology, as a Data Analyst on our weekend shift team in Baltimore. This unique role offers the perfect blend of work-life balance while leveraging your analytical expertise to transform raw data into actionable business intelligence. You'll be part of a dynamic team that values creativity, precision, and impact.

Why TechNova?

  • Competitive compensation with comprehensive benefits
  • Flexible weekend schedule (Fri-Sun) with weekday off
  • Cutting-edge tools and continuous learning opportunities
  • Inclusive culture focused on growth and innovation

Responsibilities

  • Analyze complex datasets to identify trends, patterns, and anomalies using SQL, Python, and statistical modeling
  • Develop interactive dashboards and visualizations using Tableau and Power BI for stakeholder reporting
  • Collaborate with cross-functional teams to translate business requirements into data solutions
  • Design and implement automated data pipelines to ensure data quality and accessibility
  • Present findings to leadership through clear, concise reports and presentations
  • Monitor KPIs and provide actionable insights to drive strategic decisions
  • Stay current with industry trends and emerging data technologies

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis or business intelligence
  • Expert proficiency in SQL and relational databases (PostgreSQL, MySQL)
  • Advanced skills in data visualization tools (Tableau, Power BI, D3.js)
  • Strong programming experience in Python (Pandas, NumPy) or R
  • Experience with cloud platforms (AWS, Azure, GCP) and ETL processes
  • Excellent problem-solving abilities with attention to detail
  • Ability to thrive in autonomous weekend shift environment

Required Skills

data analysis SQL Python Tableau Power BI data visualization statistics ETL AWS

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