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Data & Analytics 🏢 Full Time ⭐️ Verified

Senior Data Analyst | NYC | Relocation Assistance | Hiring Now

DataVista Analytics
New York
Estimated Salary
USD 110.000 – USD 145.000
New
Live Update
3 September 2026
Deadline
3 Sep 2027

Job Description

Join DataVista Analytics, a leading data intelligence firm revolutionizing how Fortune 500 companies make decisions. We're seeking a Senior Data Analyst to join our dynamic NYC team with comprehensive relocation assistance. This role offers unparalleled growth opportunities in a collaborative, tech-forward environment where your insights directly impact global business strategy.

Our analysts leverage cutting-edge tools to transform complex datasets into actionable intelligence, driving innovation across retail, finance, and healthcare sectors. You'll work alongside PhD-level data scientists and engineers in our modern Manhattan headquarters.

Responsibilities

  • Design and implement end-to-end data pipelines using SQL, Python, and cloud platforms (AWS/GCP)
  • Develop interactive dashboards and visualizations using Tableau/Power BI for executive stakeholders
  • Conduct advanced statistical analysis to identify market trends and business opportunities
  • Collaborate with cross-functional teams to translate analytical findings into strategic recommendations
  • Maintain data quality frameworks and ensure compliance with industry regulations (GDPR/CCPA)
  • Mentor junior analysts and contribute to continuous improvement of analytics workflows

Qualifications

  • Bachelor's degree in Statistics, Mathematics, Computer Science, or related field (Master's preferred)
  • 5+ years of progressive data analysis experience with proven impact in data-driven roles
  • Expert proficiency in SQL, Python (Pandas/NumPy), and at least one visualization tool (Tableau/Power BI)
  • Strong statistical modeling experience including regression, hypothesis testing, and A/B methodologies
  • Experience with cloud data warehouses (BigQuery, Redshift, Snowflake) and ETL processes
  • Exceptional communication skills with ability to present complex insights to non-technical audiences
  • Portfolio demonstrating 3+ impactful data projects with measurable business outcomes

Required Skills

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

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