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Information Technology 🏢 Part Time ⭐️ Verified

Data Analyst - Weekend Shift

TechCorp Global
Baltimore
Estimated Salary
USD 65.000 – USD 85.000
New
Live Update
17 September 2026
Deadline
17 Sep 2027

Job Description

Join TechCorp Global's elite data team as a Weekend Shift Data Analyst in Baltimore! This part-time role offers competitive compensation while you transform complex datasets into strategic insights during flexible weekend hours. Work with cutting-edge tools in a collaborative environment where your analytical skills directly impact product innovation.

As a key member of our data intelligence division, you'll leverage advanced analytics to drive business decisions while enjoying work-life balance through our weekend schedule. This is your opportunity to join a Fortune 500 tech leader while advancing your career in data science.

Responsibilities

  • Perform in-depth data analysis using SQL, Python, and R to identify trends and anomalies
  • Create interactive dashboards and visualizations using Tableau and Power BI
  • Collaborate with cross-functional teams to translate business requirements into data solutions
  • Develop automated reporting systems to track KPIs and performance metrics
  • Conduct A/B testing and statistical analysis to optimize product features
  • Document data processes and ensure data governance standards are maintained
  • Present findings to stakeholders through clear, actionable insights

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 2+ years of experience in data analysis with weekend/shift work preferred
  • Advanced proficiency in SQL and relational database management
  • Expertise in data visualization tools (Tableau, Power BI, or similar)
  • Strong programming skills in Python or R for statistical modeling
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Excellent communication skills with ability to explain complex concepts
  • Proven ability to work independently with minimal supervision

Required Skills

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

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