Nuuly Senior Analytics Engineer

Nuuly•Philadelphia, PA

About The Position

Nuuly is seeking a Senior Analytics Engineer who will partner closely with our Sr. Business Intelligence Manager to guide both the strategy and implementation of our data architecture. This includes not only the formulation of data tables and BI tooling but also the advancement of our ETL processes. A key part of your role involves bolstering the efficacy & reliability of our data infrastructure. You'll develop & refine our ETL processes, striving for accuracy and timeliness in data transformation. Your proficiency in SQL will be harnessed to draft complex queries, enabling effective extraction and analysis of data from various sources. You will be an ambassador for best practices in data management and uphold our data governance standards. Additionally, creating precise and understandable documentation for technical requirements, specifications, and solutions will be a vital aspect of your role.

Requirements

Minimum of 4 years' experience in analytics engineering, data engineering, business intelligence, or similar role, with a proven track record of managing complex data projects
Minimum 3+ years of experience with dbt and git
4+ years experience with SQL, with demonstrated expertise in writing and optimizing complex queries
Hands-on experience in maintaining and optimizing ETL/Orchestration tools such as Airflow, Mage, or Prefect.
A robust understanding of database architecture and data warehousing, with the ability to design and implement effective data storage solutions.
Proficiency in Python or another data-centric programming language

Nice To Haves

familiarity with startups, ecommerce or subscription based businesses
familiarity with BigQuery
experience with Looker, Fivetran, or other data integration platforms
interest in the fashion industry, or a passion for fashion

Responsibilities

Maintain, optimize, and enhance our existing data infrastructure ensuring high performance and reliability.
Develop and optimize ETL processes, ensuring accurate and timely data transformation.
Write complex SQL queries to extract, transform, and analyze data from multiple sources.
Understand business context and support analysts/stakeholders in crafting and standardizing source-of-truth data models/visualizations.
Promote best practices for data management and ensure adherence to data governance standards.
Document technical requirements, specifications, and solutions.