Data Analytics Engineer

Rugs USA • New York, NY

9d • $110,000 - $120,000 • Hybrid

About The Position

The Data Analytics Engineer 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.

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, Information Systems or related technical field.
• Minimum of 2 years of progressively responsible experience in a Software Engineering role (e.g. Project Lead, Senior Software Engineer, Software Engineer, etc.).
• Experience developing and supporting the Snowflake, Sigma, Fivetran/dbt platform stack to ensure performance, process, access is optimal for the global reporting solution.
• Experience with dbt as a data orchestration tool.
• Experience with Snowflake Virtual Warehouse (VWH) and data modeling.
• Experience working in CI/CD framework for data warehousing and business intelligence.
• Experience in Technical design of Data Modelling for Snowflake and Sigma to support the ongoing Business requirements formulation process for Enterprise Business Analytics operations.
• Experience in design and development of analytical queries, reports and visualisations utilising the Sigma Platform.
• Experience with data governance practices, including data quality standards, access controls, and metadata management within a Snowflake environment.
• Experience building and maintaining semantic layers (e.g., Sigma workbooks/models, dbt metrics layer) to enable consistent, governed self-service reporting.
• Demonstrated knowledge of the following: Fivetran HVR (High Volume Replication) enterprise data integration replication for data ingestion.
• Data warehouse architecture, including dimensional modelling, ELT design, and Snowflake-based cloud data platforms.
• SQL and strong data transformation.

Nice To Haves

• Experience supporting data analytics, reporting, or business intelligence functions within the retail or e-commerce industry is a nice to have.
• The ideal candidate is a hands-on data builder with strong SQL, Snowflake, dbt, Fivetran, and Sigma expertise, able to turn messy business needs into clean, scalable data models, reliable pipelines, and sharp self-service dashboards.
• They bring a strong grasp of data warehouse architecture, governance, quality, and performance, paired with the communication skills to partner with stakeholders, troubleshoot issues quickly, and deliver trusted insights that help the business move faster.

Responsibilities

• 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 and empower the business community towards self-serve reporting model.
• Other duties as assigned within area of responsibility.

Benefits

• A culture that promotes a healthy work/life balance
• Benefits package offered to all eligible full-time employees (including medical, dental, vision, PTO, 401(k)
• Exposure to career advancement opportunities across all departments
• Generous employee discount that can be used across our house of brands!

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level