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Urgently Hiring: Data Analyst (Full-Time, Remote Options) - Fort Worth, TX

DataVision Analytics
Fort Worth
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
26 September 2026
Deadline
26 Sep 2027

Job Description

Join DataVision Analytics as a Data Analyst and transform raw data into actionable business insights! We're urgently seeking a skilled professional to drive data-driven decision-making in our dynamic Fort Worth team. With flexible remote options and competitive compensation, this is your opportunity to accelerate your career while making a tangible impact.

At DataVision Analytics, we empower organizations to harness the power of data. As a Data Analyst, you'll collaborate with cross-functional teams to uncover trends, optimize processes, and deliver strategic recommendations. Our culture values innovation, collaboration, and continuous growth—making this an ideal role for passionate professionals ready to excel.

Responsibilities

  • Analyze complex datasets using SQL, Python, and BI tools to identify business opportunities
  • Develop interactive dashboards and visualizations using Tableau/Power BI
  • Collaborate with stakeholders to define KPIs and track performance metrics
  • Present findings to leadership teams through compelling data narratives
  • Implement data validation protocols to ensure accuracy and compliance
  • Optimize data pipelines for efficiency and scalability
  • Support ad-hoc analysis for strategic initiatives and operational improvements

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience as a Data Analyst or similar role
  • Expert proficiency in SQL and relational databases (PostgreSQL, MySQL)
  • Advanced skills in data visualization tools (Tableau/Power BI)
  • Strong knowledge of statistical analysis and machine learning fundamentals
  • Experience with ETL processes and data warehousing concepts
  • Excellent communication skills with ability to translate technical insights for non-technical audiences
  • Proficiency in Python (Pandas, NumPy) and data manipulation libraries

Required Skills

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

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