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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst (Full-Time, Remote Options)

TechCorp Solutions
Houston, TX
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
18 September 2026
Deadline
18 Sep 2027

Job Description

Join our dynamic data team as a Data Analyst and transform raw insights into actionable business strategies! We're urgently seeking a detail-oriented professional to drive data-driven decision-making across our Houston operations. Enjoy hybrid work flexibility with fully remote options available. Collaborate with cross-functional teams to uncover trends, optimize processes, and deliver impactful visualizations. This is your chance to accelerate your career in a growth-oriented environment with competitive benefits and cutting-edge tools.

Responsibilities

  • Analyze complex datasets using SQL, Python, and BI tools to identify business opportunities
  • Create interactive dashboards and reports in Tableau/Power BI for stakeholders
  • Develop predictive models to forecast market trends and customer behavior
  • Collaborate with product teams to validate data requirements for new initiatives
  • Present findings to executive leadership through compelling visualizations
  • Automate reporting workflows to improve efficiency and accuracy
  • Ensure data integrity through rigorous validation and quality checks

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 Python (Pandas, NumPy)
  • Advanced skills in data visualization (Tableau, Power BI, or D3.js)
  • Experience with statistical analysis and hypothesis testing
  • Strong problem-solving skills with attention to detail
  • Excellent communication abilities for technical/non-technical audiences
  • Portfolio demonstrating data-driven projects required

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis Business Intelligence Data Mining Excel Machine Learning

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