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Jiffy.com

Data Analyst

Hybrid Middle $7.5k/mo

Summary

Jiffy.com is hiring a Data Analyst to collect, process, and analyze data that drives strategic decisions across the business. The role focuses on turning data from multiple sources into actionable insights that improve the ecommerce platform, customer experience, and overall performance.

What you'll do

  • Collect, clean, and organize data from different sources to prepare it for analysis
  • Analyze datasets to identify trends, patterns, and insights that inform business strategies
  • Create reports and dashboards to visualize key performance indicators (KPIs) for various teams
  • Partner with cross-functional teams to understand data needs and provide analytical support
  • Develop and maintain documentation for data processes and procedures
  • Assist in designing experiments and A/B tests to improve customer engagement and conversion rates
  • Identify opportunities for process improvements based on insights from data analysis

Requirements

  • Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, or a related field
  • 3–6+ years of experience in data analysis or a similar role (preferably in e-commerce or a related industry)
  • Proficiency with SQL, Excel, and data visualization tools (e.g., Tableau, Power BI)
  • Strong analytical skills, attention to detail, and ability to interpret and communicate complex data
  • Ability to work with large datasets and apply problem-solving skills
  • Strong written and verbal communication skills for presenting findings to stakeholders
  • Ability to work independently and in a team-oriented environment
  • Familiarity with statistical analysis and data-driven decision-making

Preferred:

  • Advanced SQL (complex joins, window functions, query optimization)
  • Python or R for analysis, automation, or statistical modeling
  • Data warehousing concepts/tools (Snowflake, Redshift, BigQuery)
  • Experience building and maintaining dashboards and automated reports
  • Experience optimizing large-scale data workflows
  • Understanding of ecommerce metrics (conversion rate, AOV, LTV, retention)
  • Experience translating business questions into analytical frameworks and actionable insights

Conditions

  • Work model: Hybrid, with a minimum of 3 days per week onsite

  • Compensation: Base salary range with potential bonuses, equity, and benefits

  • Benefits: Medical, dental, vision (portion of premiums paid), 401(k), annual wellness benefits, choice of MacBook or PC plus home office equipment

  • Perks: Annual $200 credit to use on the website and company merchandise

  • Professional development: Annual learning stipend

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