Retail SQL Analyst (East Coast)

Vaco by Highspring; United States; On-site; USD 96,432 - 117,096; Full time

Job summary

A recruitment agency is seeking a Senior Analyst to support retail analytics initiatives. The role focuses on delivering impactful business insights using SQL and data visualization tools such as Tableau. Candidates should have extensive retail experience and at least 3 years of analytical experience. This position offers an hourly pay range of $70 to $85, with opportunities for contract conversion to full-time.

Qualifications

• Minimum 3 years analytical experience in retail, especially applying insights to business KPIs.
• Intermediate SQL skills: data discovery and understanding storage and data retrieval.
• Minimum 3 years Retail industry experience.

Responsibilities

• Support retail analytics initiatives to deliver business insights.
• Develop dashboards and analytical models for decision-making.
• Focus on areas like merchandise planning and inventory health.

Skills

Retail expertise

Proficiency in SQL

Data visualization

Python

Analytical mindset

Education

Bachelor's degree in Mathematics, Economics, Data Science/Analytics, Computer Science, or Operations Research

Tools

Tableau

Snowflake

BigQuery

Redshift

Job description

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Base pay range

$70.00/hr - $85.00/hr

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Overview

Seeking a Senior Analyst to support retail analytics initiatives. The role will focus on delivering high-impact business insights through data exploration, dashboard development, and analytical modeling to support areas such as merchandise planning, promotional performance, inventory health, and operational efficiency.

NEED

Extensive experience on the Retail side: business acumen, retail expertise, proficiency in SQL, Data Visualizations (e.g., Tableau), and Python (preferred).

Compensation

$70-$85/hour

Duration

6 month Contract with strong chance to convert full-time

Cannot work C2C or Provide Sponsorship

Must-Haves:

• Minimum 3 years analytical experience in retail, especially applying insights to business KPIs and decision-making.
• Intermediate SQL skills (3 years): data discovery, understanding storage, and data retrieval.
• Minimum 3 years Retail industry experience (KPIs, etc.)

Nice-to-Haves

• Tableau or other data visualization tools and building of dashboards for them
• Experience with pricing analytics (60% of the role).
• Familiarity with Snowflake, BigQuery, Redshift.
• Coding / technical aptitude in Python, and for data analysis purposes (using pandas, NumPy, matplotlib)
• Ability to support data preparation and light modeling tasks.
• Business Intelligence background
• A/B testing concepts and basic statistical techniques
• Bachelor's degree in Mathematics, Economics, Data Science/Analytics, Computer Science, Operations Research, or a related field