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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst (Urgent Hire)

Nexus Analytics Solutions
Los Angeles
Estimated Salary
USD 85.000 – USD 115.000
New
Live Update
29 September 2026
Deadline
29 Sep 2027

Job Description

Join our dynamic data team at Nexus Analytics Solutions, a fast-growing tech innovator revolutionizing how businesses leverage data in the heart of LA. We're urgently seeking a meticulous Senior Data Analyst to transform complex datasets into actionable insights that drive strategic decisions. This is a high-impact role with immediate start availability, offering the chance to shape our analytics roadmap while working with cutting-edge technologies.

Our ideal candidate thrives in fast-paced environments and possesses a rare blend of technical expertise and business acumen. You'll collaborate with cross-functional teams to solve real-world problems using data, while contributing to a culture that values innovation and continuous learning. This position includes competitive benefits, flexible work options, and opportunities for professional growth in one of America's most vibrant tech hubs.

Responsibilities

  • Design and implement end-to-end data pipelines using SQL, Python, and cloud platforms (AWS/Azure)
  • Develop interactive dashboards and visualizations using Tableau/Power BI for executive stakeholders
  • Perform statistical analysis and A/B testing to validate hypotheses and drive product improvements
  • Create comprehensive data quality frameworks to ensure accuracy and consistency across datasets
  • Translate business requirements into technical specifications for data modeling solutions
  • Present findings to leadership teams through compelling data narratives and visualizations
  • Mentor junior analysts and optimize existing analytical workflows

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field (Master's preferred)
  • 3+ years of professional data analysis experience with proven portfolio of complex projects
  • Expert proficiency in SQL and Python (Pandas, NumPy) with experience in data manipulation libraries
  • Advanced knowledge of statistical analysis and experimental design methodologies
  • Strong experience with data visualization tools (Tableau, Power BI, or Looker)
  • Familiarity with cloud data platforms (AWS Redshift, Azure Data Lake) and ETL processes
  • Exceptional problem-solving skills with ability to translate business questions into data solutions
  • Excellent communication skills with experience presenting to non-technical stakeholders

Required Skills

SQL Python Tableau Power BI Statistical Analysis Data Visualization AWS Azure ETL Data Modeling

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