Data Analyst II: SQL & Tableau Insights Lead

TechStyle Fashion Group

El Segundo (CA)

Hybrid

USD 100,000 - 115,000

Full time

14 days+

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Benefits offered by this job

Hybrid work schedule
Healthcare plans
Employee discounts
401k
Annual bonus program
Equity program

Job summary

Fabletics, a member of TechStyle Fashion Group, is seeking a Data Analyst II to join the El Segundo headquarters on a hybrid schedule. You will craft SQL-driven analyses, build data visualizations in Tableau, and partner with analytics and engineering teams to drive data-informed decision-making for Merch & Planning.

The role emphasizes independent work, clear communication with stakeholders, and the ability to translate complex data into actionable business recommendations.

Qualifications

  • 1-3 years of experience in a quantitative analytics role.
  • Advanced SQL skills to extract data and build reports.
  • Strong understanding of relational databases & BI tools.
  • Aptitude for translating data analysis into business recommendations.
  • Excellent written and verbal communication skills; ability to communicate with stakeholders.

Responsibilities

  • Prepare data and analysis for Merch & Planning; share actionable insights.
  • Write intermediate to complex SQL queries to extract data from Snowflake.
  • Manage Tableau BI platform, including data modeling and automated reporting.
  • Identify data needs for Merch & Planning analytics use cases; propose improvements to data architecture.
  • Partner with data engineering to improve data systems and processes.
  • Progress toward more automated and scalable analytics workflows.

Skills

SQL
Data analysis
Excel
Communication

Tools

Snowflake
Tableau

Job description

Fabletics, a member of TechStyle Fashion Group, is seeking a Data Analyst II to join the El Segundo headquarters on a hybrid schedule. You will craft SQL-driven analyses, build data visualizations in Tableau, and partner with analytics and engineering teams to drive data-informed decision-making for Merch & Planning.

The role emphasizes independent work, clear communication with stakeholders, and the ability to translate complex data into actionable business recommendations.

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