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Information Technology 🏢 Full Time ⭐️ Verified

WFH Data Analyst

DataVision Analytics
Miami
Estimated Salary
USD 75.000 – USD 95.000
Live Update
21 Juni 2026
Deadline
21 Jun 2027

Job Description

Join DataVision Analytics as a WFH Data Analyst and become the engine behind our data-driven decisions! We're urgently seeking a detail-oriented professional to transform complex datasets into actionable insights. Enjoy the flexibility of 100% remote work while making a tangible impact in our fast-growing fintech company.

As a key member of our analytics team, you'll collaborate with cross-functional departments to solve critical business challenges using cutting-edge tools. We offer competitive compensation, comprehensive benefits, and a culture that values innovation and work-life balance. This is your chance to accelerate your career while working from the comfort of your Miami home.

Responsibilities

  • Design and implement automated data pipelines using SQL and Python for real-time analytics
  • Create interactive dashboards and reports in Tableau/Power BI to visualize key performance metrics
  • Conduct ad-hoc statistical analysis to identify trends and anomalies in customer behavior data
  • Collaborate with product teams to define KPIs and track business objectives
  • Present findings to executive stakeholders through clear, compelling data narratives
  • Maintain data integrity across multiple platforms including Snowflake and Redshift
  • Optimize data collection methodologies to improve accuracy and efficiency

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Mathematics, or related field
  • 3+ years of experience in data analysis with proven SQL proficiency
  • Advanced knowledge of Python (Pandas, NumPy) and R for statistical modeling
  • Expertise in data visualization tools (Tableau, Power BI, or Looker)
  • Strong business acumen with ability to translate technical findings into strategic recommendations
  • Experience with A/B testing and experimental design methodologies
  • Excellent communication skills with ability to present complex data to non-technical audiences
  • Portfolio demonstrating impactful data-driven projects

Required Skills

SQL Python R Tableau Power BI Data Visualization Statistical Analysis Snowflake Redshift Data Pipelines A/B Testing

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