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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst - Night Shift

DataInsights Global
Oklahoma City
Estimated Salary
USD 65.000 – USD 85.000
New
Live Update
29 September 2026
Deadline
29 Sep 2027

Job Description

Join our dynamic data team as a Senior Data Analyst in Oklahoma City's thriving tech sector! We're seeking a night shift specialist to transform raw data into actionable business insights. This remote-friendly role offers competitive compensation, flexible scheduling, and opportunities to work with cutting-edge analytics tools. Perfect for night owls who thrive in focused, independent environments while making a real impact on our company's data-driven decisions.

Responsibilities

  • Analyze complex datasets using SQL, Python, and BI tools to identify trends and opportunities
  • Create automated dashboards and reports using Tableau/Power BI for executive stakeholders
  • Collaborate with cross-functional teams to define KPIs and success metrics
  • Develop predictive models to forecast market trends and customer behavior
  • Maintain data integrity across multiple platforms and validate analytical outputs
  • Present findings to leadership through clear visualizations and actionable recommendations
  • Optimize data pipelines for efficiency and scalability

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analytics with night shift or remote work background
  • Expert proficiency in SQL, Python (Pandas/NumPy), and visualization tools
  • Strong knowledge of statistical analysis and machine learning fundamentals
  • Experience with cloud platforms (AWS/GCP/Azure) and ETL processes
  • Exceptional problem-solving skills with attention to detail
  • Ability to work independently during night hours with minimal supervision
  • Professional certification in data analytics (e.g., Google Data Analytics, IBM Data Science) preferred

Required Skills

SQL Python Tableau Power BI AWS Data Visualization Statistical Analysis ETL Predictive Modeling Cloud Computing

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