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Information Technology 🏢 Full Time ⭐️ Verified

Urgently Hiring: Data Analyst (Remote) - Top Tech Companies

NexusTech Solutions
Sacramento
Estimated Salary
USD 85.000 – USD 115.000
Live Update
28 Juli 2026
Deadline
28 Jul 2027

Job Description

Join NexusTech Solutions, a cutting-edge technology leader, as we urgently seek a Data Analyst to drive data-driven decision-making for our Sacramento-based operations. This fully remote role offers the opportunity to transform raw data into actionable insights that shape our product strategy and business growth. Work with a dynamic team of data professionals, leverage state-of-the-art tools, and make a tangible impact in a rapidly scaling tech environment. Apply today to become part of our innovation-driven culture!

Responsibilities

  • Analyze complex datasets using SQL, Python, and BI tools to identify trends and opportunities
  • Create interactive dashboards and visualizations for stakeholders using Tableau/Power BI
  • Collaborate with cross-functional teams to define KPIs and track performance metrics
  • Develop automated reporting systems to streamline data workflows
  • Present findings to senior leadership through compelling data narratives
  • Ensure data integrity through rigorous validation and quality checks
  • Stay current with emerging analytics technologies and methodologies

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience with SQL proficiency
  • Expertise in data visualization tools (Tableau, Power BI, or Looker)
  • Strong programming skills in Python (Pandas, NumPy) or R
  • Experience with cloud platforms (AWS, GCP, or Azure) data services
  • Proven ability to translate business questions into analytical solutions
  • Excellent communication skills with experience presenting to non-technical audiences
  • Portfolio demonstrating impactful data projects

Required Skills

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

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