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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst

Nexus Analytics Solutions
Long Beach
Estimated Salary
USD 85.000 – USD 110.000
New
Live Update
18 Agustus 2026
Deadline
18 Agu 2027

Job Description

Join our dynamic remote team as a Senior Data Analyst and transform raw data into actionable business insights! We're urgently seeking a detail-oriented professional to drive data-driven decision-making for our growing fintech client in Long Beach, CA. This 100% remote position offers competitive compensation, flexible hours, and the opportunity to make a significant impact.

As a key member of our analytics division, you'll collaborate with cross-functional teams to identify trends, build predictive models, and present findings to executive leadership. Our ideal candidate thrives in fast-paced environments and possesses exceptional problem-solving skills.

What we offer:

  • Comprehensive health benefits and 401(k) matching
  • $5,000 annual professional development stipend
  • Latest tech stack including Tableau and AWS
  • Monthly team-building virtual events
  • Unlimited PTO policy

Responsibilities

  • Develop and maintain automated data pipelines using SQL and Python
  • Create interactive dashboards and visualizations in Tableau
  • Analyze complex datasets to identify market trends and growth opportunities
  • Present findings to C-suite executives with actionable recommendations
  • Collaborate with engineering teams to implement data-driven solutions
  • Monitor KPIs and performance metrics across business units
  • Document processes and maintain data quality standards
  • Mentor junior analysts on best practices

Qualifications

  • Bachelor's degree in Data Science, Statistics, or related field
  • 5+ years of progressive data analysis experience
  • Expert proficiency in SQL, Python (Pandas/NumPy), and Tableau
  • Strong statistical modeling and hypothesis testing skills
  • Proven experience with A/B testing and experimental design
  • Excellent communication and presentation abilities
  • Experience working with large datasets (10M+ rows)
  • Familiarity with cloud platforms (AWS/GCP preferred)

Required Skills

SQL Python Tableau Statistical Analysis Data Visualization A/B Testing AWS Data Pipelines

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