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Senior Data Analyst

Aroma360

Salary not specified
Aug 18, 2025
Miami, FL, US
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Aroma360 is seeking a Senior Data Analyst to drive data-informed decision-making across the business by interpreting complex datasets, identifying key opportunities, and turning analytics into actionable strategies to impact growth and efficiency.

Requirements

  • Salesforce, Shopify, Tableau, and SQL
  • Salesforce Sales Cloud, Shopify, Tableau, SQL, and Python
  • Proven experience with Salesforce Sales Cloud, Shopify, Tableau, SQL, and Python.
  • Strong business acumen with the ability to connect analytics to real-world operational and financial outcomes.
  • Exceptional data cleaning, organization, and transformation skills.
  • Excellent communication and presentation skills, with the ability to explain complex findings in simple, actionable terms.
  • Self-starter with high attention to detail and the ability to thrive in a fast-paced, high-growth environment.

Responsibilities

  • Retrieve, clean, and organize data from various platforms, including Salesforce, Shopify, and BigQuery, transforming it into curated analytics datasets.
  • Analyze business performance metrics to identify trends, patterns, growth drivers, and areas for optimization.
  • Build and maintain interactive Tableau dashboards using advanced data visualization best practices.
  • Partner with cross-functional stakeholders—including Sales, Marketing, and Operations—to translate business needs into analytical solutions.
  • Present clear, compelling insights and recommendations to both technical and non-technical audiences.
  • Collaborate with the VP of Data Analytics to support strategic initiatives and departmental goals.
  • Proactively identify data integrity issues and implement improvements to ensure accuracy and reliability.

Other

  • Miami-based team. This is an onsite position.
  • Strong business acumen and exceptional communication skills
  • Bachelor’s degree in STEM, Economics, Business Analytics, or related field.
  • 4–6 years of experience in business intelligence, analytics, or data engineering.
  • Self-starter with high attention to detail and the ability to thrive in a fast-paced, high-growth environment.