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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst (Weekend Shift)

DataInsights Corp
San Francisco, CA
Estimated Salary
USD 85.000 – USD 110.000
New
Live Update
17 September 2026
Deadline
17 Sep 2027

Job Description

We're urgently seeking a skilled Data Analyst to join our remote-first team for weekend shifts in San Francisco, CA. This role offers the flexibility to work remotely while making a significant impact through data-driven insights. You'll transform raw data into actionable intelligence for our Fortune 500 clients in the tech and finance sectors.

What You'll Do:

  • Analyze complex datasets using SQL and Python to identify trends and anomalies
  • Create interactive dashboards in Tableau/Power BI for executive stakeholders
  • Collaborate with cross-functional teams to define KPIs and success metrics
  • Develop automated reporting pipelines to improve operational efficiency
  • Present findings to senior leadership through compelling visual narratives
  • Maintain data integrity across multiple database systems

Responsibilities

  • Analyze complex datasets using SQL and Python to identify trends and anomalies
  • Create interactive dashboards in Tableau/Power BI for executive stakeholders
  • Collaborate with cross-functional teams to define KPIs and success metrics
  • Develop automated reporting pipelines to improve operational efficiency
  • Present findings to senior leadership through compelling visual narratives
  • Maintain data integrity across multiple database systems

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis or business intelligence
  • Advanced proficiency in SQL, Python (Pandas, NumPy), and Excel
  • Expertise in data visualization tools (Tableau, Power BI, or Looker)
  • Strong statistical analysis and A/B testing experience
  • Ability to work independently during weekend shifts (Sat-Sun)
  • Excellent communication skills for translating technical insights to non-technical audiences

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis Excel A/B Testing Data Pipelines

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