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Information Technology 🏢 Full Time ⭐️ Verified

Remote Data Analyst

InnovateMetrics Analytics
Detroit
Estimated Salary
USD 70.000 – USD 90.000
New
Live Update
11 Agustus 2026
Deadline
11 Agu 2027

Job Description

Join InnovateMetrics Analytics as a Remote Data Analyst and transform raw data into actionable business intelligence from the comfort of your home. We're a Detroit-based data innovation firm revolutionizing how automotive and manufacturing sectors leverage insights. This immediate hire opportunity offers full remote flexibility with competitive compensation and growth potential.

As a key member of our analytics team, you'll collaborate with cross-functional stakeholders to solve complex challenges using cutting-edge tools. We value curiosity, precision, and impact-driven thinking. If you're passionate about uncovering stories in data and driving strategic decisions, we want to connect.

Responsibilities

  • Analyze large datasets using SQL, Python, and R to identify trends and opportunities
  • Design and maintain automated data pipelines for real-time reporting
  • Create compelling data visualizations using Tableau and Power BI
  • Collaborate with stakeholders to define KPIs and success metrics
  • Present findings to executive leadership through clear, actionable insights
  • Ensure data integrity through rigorous validation and cleaning processes
  • Stay current with industry trends and emerging analytical methodologies

Qualifications

  • Bachelor's degree in Data Science, Statistics, or related field (or equivalent experience)
  • 3+ years of professional data analysis experience
  • Expert proficiency in SQL and at least one scripting language (Python/R)
  • Advanced skills in data visualization tools (Tableau/Power BI)
  • Strong statistical analysis and A/B testing capabilities
  • Experience with cloud platforms (AWS/Azure/GCP) preferred
  • Exceptional communication and stakeholder management skills
  • Self-motivated with ability to thrive in remote work environments

Required Skills

SQL Python R Tableau Power BI Statistical Analysis Data Visualization Data Cleaning Cloud Platforms

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