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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst (Weekend Shift)

DataDriven Solutions Inc.
Atlanta
Estimated Salary
USD 65.000 – USD 85.000
New
Live Update
31 Agustus 2026
Deadline
31 Agu 2027

Job Description

Join our dynamic analytics team as a Weekend Data Analyst and transform raw data into actionable insights that drive business growth. This unique full-time weekend role offers a flexible schedule while allowing you to work with cutting-edge technologies in a collaborative environment. Perfect for professionals seeking work-life balance without compromising career progression.

We're seeking a detail-oriented analyst to uncover trends, create dashboards, and support data-driven decisions for our Fortune 500 clients. If you thrive in fast-paced environments and want to make an impact while enjoying your weekdays free, this opportunity is for you.

Responsibilities

  • Analyze large datasets using SQL, Python, and R to identify business trends and opportunities
  • Design and maintain interactive dashboards using Tableau and Power BI
  • Prepare comprehensive reports for stakeholders with clear visualizations
  • Collaborate with cross-functional teams to define analytics requirements
  • Ensure data integrity through quality checks and validation processes
  • Support ad-hoc analysis projects with rapid turnaround deliverables
  • Document methodologies and best practices for analytics workflows

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis or business intelligence roles
  • Advanced proficiency in SQL and at least one programming language (Python/R)
  • Expert knowledge of data visualization tools (Tableau/Power BI)
  • Strong statistical analysis and problem-solving abilities
  • Experience with ETL processes and data warehousing concepts
  • Excellent communication skills with ability to translate technical insights
  • Proven ability to manage deadlines in fast-paced environments

Required Skills

SQL Python R Tableau Power BI Data Visualization Statistical Analysis ETL Data Warehousing Excel Business Intelligence

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