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Information Technology 🏢 Part Time ⭐️ Verified

Flexible Hours Data Analyst

DataDriven Innovations Inc.
San Jose
Estimated Salary
USD 85.000 – USD 115.000
New
Live Update
28 September 2026
Deadline
28 Sep 2027

Job Description

Join DataDriven Innovations Inc. as a Flexible Hours Data Analyst in the heart of San Jose's tech hub! We're seeking a detail-oriented professional to transform raw data into actionable business insights while maintaining a work-life balance through customizable schedules. This role offers remote flexibility with occasional in-person collaboration at our state-of-the-art Silicon Valley campus. You'll work with cutting-edge technologies to drive strategic decisions for Fortune 500 clients in a dynamic, inclusive environment.

Responsibilities

  • Analyze complex datasets using SQL, Python, and R to identify trends and opportunities
  • Create compelling data visualizations using Tableau and Power BI for executive stakeholders
  • Develop predictive models to forecast market behavior and customer preferences
  • Collaborate with cross-functional teams to translate business requirements into data solutions
  • Maintain and optimize data pipelines for accuracy and efficiency
  • Present findings through clear, concise reports and interactive dashboards
  • Stay current with industry advancements through continuous learning initiatives

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis with SQL proficiency
  • Expert knowledge of Python (Pandas, NumPy) and statistical modeling
  • Advanced skills in data visualization tools (Tableau/Power BI)
  • Strong problem-solving abilities with attention to detail
  • Excellent communication skills for technical and non-technical audiences
  • Experience with cloud platforms (AWS/GCP/Azure) preferred
  • Ability to work independently with flexible scheduling requirements

Required Skills

SQL Python Tableau Power BI Statistical Analysis Data Visualization Predictive Modeling Data Pipelines AWS R

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