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Information Technology 🏢 Part Time ⭐️ Verified

Data Analyst (Weekend Shift)

Memphis Data Solutions
Memphis
Estimated Salary
USD 28 – USD 35
Live Update
27 Juli 2026
Deadline
27 Jul 2027

Job Description

Join our innovative analytics team as a Weekend Data Analyst! Memphis Data Solutions is seeking a detail-oriented professional to transform complex datasets into actionable insights for our clients. This part-time weekend position (Saturday-Sunday, 8 AM-4 PM) offers flexibility while playing a crucial role in driving data-driven decisions across healthcare, logistics, and retail sectors.

As a key member of our analytics hub, you'll work with cutting-edge tools to uncover hidden patterns and deliver compelling visualizations. Our Memphis-based team values work-life balance, offering competitive compensation and a collaborative environment where your analytical expertise directly impacts business growth.

Responsibilities

  • Analyze large datasets using SQL and Python to identify trends and anomalies
  • Create interactive dashboards and reports using Tableau and Power BI
  • Collaborate with cross-functional teams to define KPIs and reporting requirements
  • Validate data integrity and implement quality control measures
  • Present findings to stakeholders through clear visualizations and summaries
  • Develop automated reporting workflows to streamline data delivery
  • Stay current with emerging analytics tools and industry best practices

Qualifications

  • Bachelor's degree in Data Science, Statistics, or related field (or equivalent experience)
  • 2+ years of experience in data analysis or business intelligence
  • Advanced proficiency in SQL and relational databases
  • Expertise in data visualization tools (Tableau, Power BI, or Looker)
  • Strong knowledge of statistical analysis and hypothesis testing
  • Experience with Python (Pandas, NumPy) or R for data manipulation
  • Excellent problem-solving and communication skills
  • Ability to work independently in a weekend shift environment

Required Skills

Data Analysis SQL Python Tableau Power BI Statistical Analysis Data Visualization Excel

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