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Information Technology 🏢 Full Time ⭐️ Verified

Weekend Data Analyst

DataInsights Inc.
Portland
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
15 September 2026
Deadline
15 Sep 2027

Job Description

Join DataInsights Inc., a leading data-driven solutions provider, as our Weekend Data Analyst! This unique full-time role offers the flexibility of a Saturday-Sunday schedule while allowing you to make significant business impact. You'll transform complex datasets into actionable insights for Fortune 500 clients, working in our modern Portland headquarters with cutting-edge analytics tools. Enjoy competitive compensation, comprehensive benefits, and a collaborative team environment that values work-life balance. Apply now to become a key player in our data revolution!

Responsibilities

  • Design and execute weekend data analysis projects using SQL, Python, and Tableau
  • Generate weekly performance reports and dashboards for executive leadership
  • Identify trends and anomalies in large datasets to inform strategic decisions
  • Collaborate with cross-functional teams to translate business questions into data solutions
  • Maintain and optimize data pipelines ensuring weekend data accuracy
  • Present findings to stakeholders through compelling visualizations and narratives
  • Develop predictive models to forecast weekend business patterns

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience
  • Advanced proficiency in SQL and at least one scripting language (Python/R)
  • Expertise in data visualization tools (Tableau/Power BI)
  • Strong statistical knowledge and experimental design skills
  • Experience working with large datasets and cloud platforms (AWS/GCP)
  • Ability to thrive in weekend schedule with strong self-motivation
  • Excellent communication skills for translating technical concepts

Required Skills

SQL Python Tableau Data Visualization Statistical Analysis Predictive Modeling AWS Data Pipelines

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