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Information Technology 🏢 Part Time ⭐️ Verified

Data Analyst (Weekend Shift)

DataDriven Solutions Inc.
Baltimore
Estimated Salary
USD 28 – USD 38
Live Update
17 Juni 2026
Deadline
17 Jun 2027

Job Description

Join DataDriven Solutions Inc. as a Weekend Data Analyst and transform raw data into strategic insights while enjoying a flexible schedule! We're seeking a detail-oriented professional to support our operations during weekend shifts (Saturday/Sunday). This role offers competitive compensation, remote-friendly options, and the opportunity to work with cutting-edge analytics tools in a collaborative environment.

As a key member of our analytics team, you'll play a crucial role in driving data-informed decisions across departments. Our Baltimore-based company fosters innovation and professional growth, providing comprehensive training and mentorship for career advancement. Perfect for analysts seeking work-life balance without sacrificing impact.

Responsibilities

  • Analyze complex datasets to identify trends, patterns, and actionable business insights
  • Create interactive dashboards and visualizations using Tableau/Power BI
  • Develop automated reporting pipelines for weekend operational metrics
  • Collaborate with cross-functional teams to translate data needs into solutions
  • Validate data integrity and troubleshoot anomalies in weekend reporting cycles
  • Present findings to stakeholders through clear, concise documentation
  • Support ad-hoc analysis requests during weekend business hours

Qualifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, or related field
  • 2+ years of professional data analysis experience
  • Proficiency in SQL and experience with database querying
  • Advanced skills in Excel and at least one visualization tool (Tableau/Power BI)
  • Knowledge of Python or R for data manipulation
  • Strong attention to detail and problem-solving abilities
  • Ability to work independently during weekend shifts
  • Excellent communication and presentation skills

Required Skills

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

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