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Senior Data Analyst (Remote-Friendly)

InnovateMetrics Analytics
Durham, NC
Estimated Salary
USD 85.000 – USD 110.000
Live Update
26 Juli 2026
Deadline
26 Jul 2027

Job Description

Join InnovateMetrics Analytics as a Senior Data Analyst and transform raw data into actionable business intelligence. We're a forward-thinking data consultancy empowering Fortune 500 companies to make evidence-driven decisions. This fully remote-friendly role combines technical rigor with strategic impact, allowing you to work from anywhere while collaborating with our Durham-based team.

As a key member of our analytics division, you'll develop end-to-end data pipelines, create compelling visualizations for executive stakeholders, and drive optimization initiatives that directly impact our clients' bottom lines. We offer competitive compensation, flexible scheduling, and opportunities for continuous learning through our annual innovation stipend.

Responsibilities

  • Design and implement scalable ETL processes to transform complex datasets into clean analytics-ready formats
  • Develop interactive dashboards using Tableau/Power BI to track KPIs and identify emerging trends
  • Conduct statistical analysis to uncover hidden patterns and provide actionable business recommendations
  • Collaborate with cross-functional teams to define data requirements and deliver custom analytics solutions
  • Automate reporting workflows to ensure timely delivery of executive performance metrics
  • Maintain data governance frameworks ensuring accuracy and compliance with industry standards
  • Present findings to C-suite executives through compelling data narratives and visual storytelling

Qualifications

  • 5+ years of progressive experience in data analysis with proven impact in B2B environments
  • Expert proficiency in SQL, Python (Pandas/NumPy), and data visualization tools (Tableau/Power BI)
  • Strong statistical background with experience in A/B testing and experimental design
  • Experience with cloud platforms (AWS/GCP/Azure) and big data technologies (Spark, Hadoop)
  • Exceptional communication skills with ability to translate technical concepts for non-technical stakeholders
  • Master's degree in Data Science, Statistics, Computer Science, or related field
  • Certification in Tableau, AWS Certified Data Analytics, or equivalent preferred

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis AWS Machine Learning ETL Data Warehousing Business Intelligence

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