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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst (Weekend Shift)

DataDriven Analytics Inc.
Portland
Estimated Salary
USD 70.000 – USD 95.000
Live Update
17 Agustus 2026
Deadline
17 Agu 2027

Job Description

Join DataDriven Analytics Inc., a pioneering tech firm disrupting data intelligence, as a Weekend Shift Data Analyst in Portland. This unique opportunity combines competitive compensation with equity options, allowing you to build wealth while transforming raw data into actionable insights. Our collaborative team thrives on innovation, and you'll play a pivotal role in shaping data-driven strategies that impact millions of users. Enjoy flexible weekend schedules (Friday-Sunday) while maintaining full-time benefits, including comprehensive health coverage and 401(k) matching. Apply now to become part of a forward-thinking culture where your analytical skills directly fuel company growth.

Responsibilities

  • Analyze complex datasets using SQL, Python, and R to identify trends and business opportunities
  • Create interactive dashboards and visualizations using Tableau/Power BI for executive stakeholders
  • Collaborate with cross-functional teams to translate data findings into actionable recommendations
  • Monitor data quality and implement robust validation protocols for weekend reporting cycles
  • Develop automated reporting pipelines to streamline weekend data workflows
  • Present findings to leadership through compelling narratives and visual storytelling

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience with SQL proficiency
  • Expertise in data visualization tools (Tableau/Power BI) and statistical modeling
  • Strong problem-solving skills with attention to detail in high-pressure environments
  • Experience working weekend shifts or flexible schedules in data roles
  • Proficiency in Python (Pandas, NumPy) and data cleaning methodologies
  • Excellent communication skills for translating technical concepts to non-technical audiences

Required Skills

SQL Python R Tableau Power BI Data Visualization Statistical Analysis Data Cleaning Automated Reporting

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