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Data Analyst

InnovateData Solutions
Oakland
Estimated Salary
USD 85.000 – USD 110.000
New
Live Update
16 September 2026
Deadline
16 Sep 2027

Job Description

Join our cutting-edge analytics team at InnovateData Solutions and transform raw data into actionable business intelligence. We're seeking a passionate Data Analyst to drive data-driven decision-making in our fast-growing Oakland headquarters. This immediate opening offers the chance to work with industry leaders in sustainability tech while making tangible impact on urban development projects.

Our collaborative environment values curiosity and innovation, offering competitive benefits, professional development stipends, and flexible work arrangements. Help us build the future of data-driven urban planning while advancing your career in one of America's most vibrant tech hubs.

Responsibilities

  • Analyze complex datasets using SQL, Python, and R to identify trends and opportunities
  • Create interactive dashboards in Tableau/Power BI for executive stakeholders
  • Collaborate with cross-functional teams to translate business requirements into data solutions
  • Develop automated reporting pipelines to ensure real-time data accessibility
  • Conduct A/B tests and statistical analysis to validate hypotheses
  • Present findings to non-technical audiences through compelling visualizations
  • Maintain data integrity across multiple sources and systems

Qualifications

  • Bachelor's degree in Data Science, Statistics, Economics, or related field
  • 3+ years of professional data analysis experience
  • Expert proficiency in SQL and at least one programming language (Python/R)
  • Advanced experience with data visualization tools (Tableau, Power BI, or Looker)
  • Strong statistical analysis and experimental design skills
  • Experience working with large datasets in cloud environments (AWS/GCP/Azure)
  • Proven ability to translate complex data into business recommendations
  • Excellent communication and stakeholder management skills

Required Skills

SQL Python R Tableau Power BI Statistical Analysis Data Visualization AWS Data Mining

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