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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst - Weekly Pay (Oakland, CA)

DataDriven Solutions Inc.
Oakland, CA
Estimated Salary
USD 85.000 – USD 110.000
Live Update
4 Mei 2026
Deadline
4 Mei 2027

Job Description

Join DataDriven Solutions Inc. as a Data Analyst and enjoy the financial stability of weekly pay! We're seeking a detail-oriented professional to transform raw data into actionable insights that drive business growth. Located in the vibrant tech hub of Oakland, CA, our company offers a dynamic environment where your analytical skills will directly impact our strategic decisions. This role includes competitive benefits, flexible work arrangements, and the unique advantage of weekly paychecks to support your financial planning. If you're passionate about data storytelling and want to work with a team that values innovation and work-life balance, we encourage you to apply today.

Responsibilities

  • Analyze complex datasets using SQL, Python, and R to identify trends and opportunities
  • Create interactive dashboards and visualizations using Tableau/Power BI
  • Collaborate with cross-functional teams to define data requirements and deliverables
  • Develop automated reporting systems to monitor key performance indicators
  • Present findings to executive stakeholders through compelling data narratives
  • Ensure data integrity through rigorous validation and quality control processes
  • Support ad-hoc analysis projects for strategic business initiatives

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 programming language (Python/R)
  • Expertise in data visualization tools (Tableau/Power BI)
  • Strong statistical analysis and modeling skills
  • Experience with ETL processes and data warehousing
  • Excellent communication and stakeholder management abilities
  • Portfolio demonstrating data-driven projects and insights

Required Skills

SQL Python R Tableau Power BI Statistical Analysis Data Visualization ETL Data Warehousing

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