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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst (Remote Options) - Albuquerque

Nexus Analytics
Albuquerque, NM
Estimated Salary
USD 65.000 – USD 90.000
New
Live Update
24 September 2026
Deadline
24 Sep 2027

Job Description

Join Nexus Analytics as a Data Analyst and become a pivotal force in transforming raw data into strategic business intelligence. We offer fully remote options for qualified candidates in Albuquerque, NM, allowing you to excel from the comfort of your home while making significant impacts. Our collaborative team thrives on innovative solutions, and you'll have access to cutting-edge tools and mentorship to advance your career. If you're passionate about uncovering insights and driving data-informed decisions, this is your opportunity to thrive in a flexible, dynamic environment.

Responsibilities

  • Analyze complex datasets to identify trends, patterns, and actionable business insights
  • Develop and maintain interactive dashboards using Tableau/Power BI for executive reporting
  • Collaborate with cross-functional teams to translate business requirements into analytical solutions
  • Design and implement SQL queries to extract, clean, and transform data from multiple sources
  • Present findings to stakeholders through clear visualizations and compelling narratives
  • Continuously optimize data models and ETL processes for accuracy and efficiency
  • Stay current with industry trends and emerging analytical methodologies

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional experience in data analysis or business intelligence
  • Expert proficiency in SQL and at least one data visualization tool (Tableau/Power BI)
  • Strong knowledge of Python/R for statistical analysis and data manipulation
  • Proven ability to translate complex data into actionable business recommendations
  • Experience with cloud platforms (AWS/Azure/GCP) and database management systems
  • Excellent communication skills with ability to present to non-technical audiences

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis ETL Processes Business Intelligence AWS Data Modeling

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