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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst

Nexus Analytics
Portland
Estimated Salary
USD 85.000 – USD 110.000
Live Update
27 Juli 2026
Deadline
27 Jul 2027

Job Description

Join Nexus Analytics as a Senior Data Analyst and transform raw data into actionable business intelligence. We're a Portland-based tech innovator revolutionizing sustainability analytics, and we need your expertise to drive data-driven decisions for Fortune 500 clients. This hybrid role offers the flexibility to work 3 days remotely while collaborating with our dynamic downtown team.

Our ideal candidate thrives in fast-paced environments and possesses a passion for uncovering hidden patterns in complex datasets. You'll leverage cutting-edge tools to deliver compelling visualizations that directly influence our clients' strategic initiatives. We offer competitive benefits including health insurance, 401(k) matching, and professional development stipends.

Responsibilities

  • Develop and maintain automated ETL pipelines for large-scale datasets using SQL and Python
  • Create interactive dashboards and reports using Tableau and Power BI to communicate KPIs
  • Conduct statistical analysis and A/B testing to optimize marketing campaigns
  • Collaborate with cross-functional teams to define data requirements and deliver actionable insights
  • Present findings to executive stakeholders through compelling data storytelling
  • Maintain data governance frameworks ensuring accuracy and compliance
  • Mentor junior analysts on best practices in data visualization

Qualifications

  • 5+ years of professional data analysis experience with SQL proficiency
  • Expert knowledge of Tableau and Power BI with portfolio of complex visualizations
  • Bachelor's degree in Statistics, Computer Science, or related field
  • Experience with cloud platforms (AWS/GCP) and big data technologies
  • Strong problem-solving skills with ability to translate business questions into data solutions
  • Excellent communication skills with experience presenting to non-technical audiences
  • Familiarity with Python data libraries (Pandas, NumPy) and statistical modeling
  • Portfolio demonstrating end-to-end analytical projects

Required Skills

SQL Tableau Power BI Python AWS Data Visualization Statistical Analysis ETL

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