Data Analyst - AI-Driven Analytics for E-Commerce (Remote)

ALOHA Collection Inc.; Carlsbad (CA); Hybrid; USD 80,000 - 95,000; Full time

Benefits offered by this job

401(k)

401(k) matching

Dental insurance

Employee assistance

Employee discount

Flexible schedule

Flexible spending account

Health insurance

Health savings account

Life insurance

Paid time off

Professional development

Vision insurance

Job summary

ALOHA Collection Inc. in Carlsbad, CA, is seeking a Data Analyst to transform data into actionable insights, support operations and growth, and build data products such as dashboards, reports, and automation.

You will collaborate with internal partners, maintain data quality, enforce governance, and guide teams on AI-assisted analytics, training, and responsible use of tools. Hybrid or remote options provided to fit work-life balance.

Qualifications

• 2+ years of experience in data analytics, BI, or related field.
• Experience in retail or E-commerce industries required.
• Strong proficiency in SQL and data visualization tools (PowerBI, Omni).
• Experience using AI tools to accelerate analysis, with validation for accuracy.

Responsibilities

• Query and analyze data using SQL to track marketing KPIs and business health.
• Design and improve reporting and visualizations including dashboards and AI-generated artifacts.
• Support data governance standards and ensure reliable data definitions and documentation.
• Perform regular data sweeps and audits, resolving discrepancies with relevant teams.

Skills

2+ years experience

Retail/E-commerce experience

SQL

Data visualization (PowerBI/Omni)

AI tools usage (e.g., ChatGPT)

Google Sheets (expert)

Tools

PowerBI

Omni

Job description

ALOHA Collection Inc. in Carlsbad, CA, is seeking a Data Analyst to transform data into actionable insights, support operations and growth, and build data products such as dashboards, reports, and automation.

You will collaborate with internal partners, maintain data quality, enforce governance, and guide teams on AI-assisted analytics, training, and responsible use of tools. Hybrid or remote options provided to fit work-life balance.