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Business Intelligence & Data Engineer(Retail and E Commerce)

UNTUCKit New York, New York, United States Full-time
$150,000
per year

Job Description

About UNTUCKit

Founded on the premise that you can dress casually and still look sharp, UNTUCKit was the first to make Shirts Designed to be Worn Untucked back in 2011. Today, we make shirts, polos, Henley, tees, pants, dresses, shoes, and accessories for all shapes and sizes. We’re headquartered in New York’s SoHo neighborhood, with 80+ stores worldwide. The UNTUCKit team is made up of unique, inspiring, and fun-loving members, all of whom help make the brand what it is today. We value each other’s diversity and expertise, while sharing a common thread of dedication, inclusion, and a passion for polished, casual style.

 

Overview                                                                                          

We are seeking a detail-oriented and technically proficient BI Developer / Data Engineer to join our team. This role is responsible for designing, building, and maintaining data pipelines and BI reporting solutions to support decision-making across the organization. The ideal candidate is highly skilled in Tableau, SQL, Python, and has hands-on experience with Snowflake. They should be capable of working independently, effectively gathering requirements from non-technical stakeholders, and translating those needs into scalable and insightful data solutions.

What You'll Do?

●       Design, develop, and maintain interactive Tableau dashboards and workbooks to support business needs.

●       Write efficient SQL queries to extract, transform, and load data from various sources into Snowflake data warehouse.

●       Develop robust Python-based data pipelines to automate data ingestion, transformation, and validation.

●       Collaborate with business users to gather and understand reporting requirements and translate them into technical solutions.

●       Optimize and manage Snowflake-based data models to ensure performance and scalability.

●       Ensure data quality, accuracy, and governance across reporting solutions.

●       Document processes, data definitions, and workflows for cross-functional clarity.

●       Work independently to manage projects, timelines, and deliverables with minimal supervision.

Preferred Qualifications

●       3+ years of relevant development experience, preferably in e-commerce and specifically the Shopify platform

●       Experience with Tableau and other Business Intelligence tools

●       Proficiency in Python and SQL for backend development.

●       DevOps experience with AWS is a plus.

●       Ability to work effectively within a small team and manage multiple tasks independently.

●       Strong problem-solving skills with the ability to dive deep into troubleshooting.

●       Collaborative mindset with a focus on analytical thinking and solution-based approaches.

●       Bachelor’s degree in computer science or a related technical field, or equivalent practical experience

                                                     

Our Core Values:

●       Be Kind: Approach each other as we do our customers with respect and gratitude

●       Own it: Be accountable for your work.  If you see an opportunity for improvement, seize it.

●       Work together: Your coworkers are your best allies. Tap into the genius and unique perspective

●       Communicate: Say what you mean honesty and constructively

●       Mentor: Lead by teaching and serving others. Lift up others whenever and wherever possible.

●       Have fun: don’t forget to celebrate one another and what we’re building together.

Salary Range: $150k-$175k year

Hybrid position: In Soho office Tuesday-Thursday.

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development
  • Work From Home-Hybrid
  • Free Food & Snacks

Company Information

Location: New York, NY

Type: Hybrid