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Data Analyst (Night Shift) - Cleveland, TX

InnovateData Solutions
Cleveland, TX
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
17 September 2026
Deadline
17 Sep 2027

Job Description

Join InnovateData Solutions as a Night Shift Data Analyst and transform raw data into strategic insights that drive business growth. We're urgently hiring for this critical role in Cleveland, TX, offering competitive compensation, equity options, and the opportunity to work with cutting-edge technologies. If you thrive in a fast-paced environment and want to make an immediate impact, this is your chance to join a forward-thinking team.

Responsibilities

  • Analyze complex datasets to identify trends, patterns, and actionable business insights
  • Create and maintain automated reporting dashboards using SQL, Python, and visualization tools
  • Collaborate with cross-functional teams to translate data findings into strategic recommendations
  • Monitor data quality, integrity, and implement corrective measures
  • Develop predictive models to forecast business outcomes and support decision-making
  • Present findings to stakeholders through compelling visualizations and clear documentation
  • Optimize data collection processes to improve efficiency and accuracy

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis or business intelligence
  • Expert proficiency in SQL and at least one programming language (Python/R)
  • Strong experience with data visualization tools (Tableau, Power BI, Looker)
  • Familiarity with statistical analysis and machine learning concepts
  • Proven ability to work independently during night shifts with minimal supervision
  • Excellent problem-solving skills and attention to detail
  • Strong communication skills with the ability to present complex data clearly

Required Skills

SQL Python R Tableau Power BI Data Visualization Statistical Analysis Machine Learning Business Intelligence Predictive Modeling

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