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Information Technology 🏢 Full Time ⭐️ Verified

Urgently Hiring: Data Analyst

Nexus Analytics Group
Oakland, CA
Estimated Salary
USD 95.000 – USD 125.000
Live Update
13 Juli 2026
Deadline
13 Jul 2027

Job Description

Join our dynamic data team at Nexus Analytics Group and transform complex datasets into actionable business insights. We're urgently seeking a talented Data Analyst to drive our data strategy and support critical decision-making across departments. This role offers immediate impact in a collaborative, fast-paced environment where your analytical skills will directly shape our product roadmap and customer experience.

As a key member of our innovation hub, you'll work with cutting-edge technologies and a diverse team of data professionals. We offer competitive compensation, comprehensive benefits, and opportunities for rapid career growth in Oakland's thriving tech scene.

Responsibilities

  • Design and implement end-to-end data pipelines using SQL, Python, and cloud platforms
  • Develop interactive dashboards and visualizations with Tableau/Power BI
  • Analyze complex datasets to identify trends, anomalies, and business opportunities
  • Collaborate with cross-functional teams to translate data findings into actionable strategies
  • Automate reporting processes and maintain data quality standards
  • Present insights to executive stakeholders through compelling data narratives
  • Optimize database structures for performance and scalability

Qualifications

  • Bachelor's degree in Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience
  • Expert proficiency in SQL and Python (Pandas, NumPy)
  • Advanced data visualization skills (Tableau/Power BI)
  • Strong statistical analysis and hypothesis testing abilities
  • Experience with cloud platforms (AWS/Azure/GCP)
  • Excellent communication and stakeholder management skills
  • Portfolio demonstrating impactful data projects

Required Skills

SQL Python Tableau Power BI AWS Data Visualization Statistical Analysis Data Pipelines Business Intelligence

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