Data Analytics Engineer Job New York New York USA,IT/Tech

Since launching in 1998, Rugs USA hasestablisheditself as a leading innovative online destination for an extensive variety of high-quality, on-trend area rugs at prices customers won’tfind anywhere else. Passionate about the impact that the perfect rug brings to a space, we foster close relationships with the designers, artisans, and factories who make our goods, giving us the ability to simplify our business model and deliver exceptional pricing and a vast assortment of styles.

By guiding our customers through therugbuying process and offering a curated selection of complementary lighting and accessories,we’vebecome our customers’ ultimate secret weapon in bringing their vision of home to life
-atany budget.

Position Overview

The Data Analytics Enginee r designs, builds, and supports RugsUSA's enterprise data warehouse and business intelligence platform. Working closely with business stakeholders and cross-functional teams, this role develops scalable data models, pipelines, and dashboards using the Fivetran, Snowflake, dbt, and Sigma stack to deliver reliable, high-quality data and actionable insights. The role also supports ongoing platform performance, data quality, and self-service analytics across the organization.

This

is a hybrid role requiring on-site presence in our Manhattan office 3 to 4 days per week.

Essential Job Functions

Stand up data warehouse and business intelligence tools
As part of a results-oriented team, participate in the design, implementation, maintenance and support of our Fivetran >
Snowflake > dbt >
Sigma data warehouse stack to enable the business to make informed decisions.
Interact with internal stakeholders to gather/develop functional and technical requirements and translate them into reporting solutions.
Provide quality and performant data modeling and visualizations solutions to RugsUSA cross functional business units
Work collaboratively with Enterprise Data Analysts, Data Governance Team to help define, develop and implement solutions and provide services for the enterprise data warehouse.
Model, design, develop, test and implement the appropriate backend and front-end structures needed to meet business visualization and reporting requirements.
Build dashboards as required to follow wireframes designs, integrate with backend data models. Build aggregate data models. Manage the data flow to reflect in dashboards to meet business requirements.
Work on data transformation, using the ELT tools. Build dimension views and fact tables.
Data formatting and processing to build the foundation layer for dashboards and self-service reporting. Work on data transformation, using the ELT tools. Build dimension views and fact tables.
Data formatting and processing to build the foundation layer for dashboards and self-service reporting.
Follow development standards in accordance with UA best practices.

Manage the steady state data warehouse and BI output

Responsible for the full life cycle of development, from requirements gathering through data transformation coding and report/dashboard design and creation.
Troubleshoot data anomalies with key stakeholders.
Responsible for daily support of the data warehouse and associated data marts.
Coordinate key stakeholders to align with change management processes and to ensure performance, processes and access is optimal for reporting solutions.
Work collaboratively to align business requirements with reporting and analytical solutions.
Improve processes regarding data flow and quality to improve data accuracy, viability and value.
Document development for peer reference and knowledge transfer.
Interact with the key stakeholders to gather/develop functional and technical requirements and translate them into visualization solutions.
Educate…