below marketmost similar roles pay hereabove market
This role pays less than
62%
of similar roles. Most pay
$126,750–$196,362
— the blue band above.
At the midpoint, this role pays about
$136k
versus about
$162k
for comparable roles.
Based on 240 similar postings.
Employer
About Nordstrom
Nordstrom is a leading American luxury department store chain offering a wide selection of clothing, shoes, accessories, and beauty products through its stores, Nordstrom Rack outlets, and online. Industry: Luxury Department Store Retail
Nordstrom currently has
70 open roles
on FindRole.
Listed pay typically runs
$166,000–$258,000
across 22 roles with salary data.
The Data Analyst 3 - Insights Delivery Merchandising Analytics joins the Insights Delivery – Merchandising Analytics team to enable data-driven decision-making across the merchandising organization. You will own analytics deliverables end-to-end, designing and maintaining scalable data pipelines, analytical datasets, and reporting solutions. Day-to-day responsibilities include gathering business requirements, developing data models, building Looker Explores, and validating data accuracy for functions like merchandise financial planning, inventory, and markdowns. You will utilize SQL, Google BigQuery, Looker, LookML, DBT, and Airflow to modernize legacy reporting and improve operational efficiency. The role requires translating complex business needs into technical solutions while using AI tools to accelerate development. You will solve critical business problems by providing trusted insights regarding what to buy, how much to spend, and when to mark down products.
What does a Data Analyst earn?
Median $126750 from 71 postings across 17 companies.
Design, develop, and maintain scalable data pipelines and analytical datasets using SQL, BigQuery, and Airflow.
Build and enhance Looker Explores, semantic data models, and self-service reporting solutions for merchandising analytics.
Translate complex business requirements from stakeholders into technical specifications and actionable reporting products.
Develop analytics products for merchandise financial planning, inventory, markdowns, and sales performance.
Migrate legacy reporting solutions to Looker and modernize merchandise planning reports to align with new methodologies.
Ensure data accuracy and reliability through comprehensive testing, reconciliation, and performance optimization.
Troubleshoot production reporting issues and resolve pipeline dependencies to ensure business continuity.
Identify opportunities to automate manual reporting processes and improve query performance.
What we're looking for
Bachelor's degree in computer science, Information Systems, Data Analytics, Statistics, Mathematics, Engineering, or a related field, or equivalent practical experience.
4+ years of professional experience in data analytics, business intelligence, analytics engineering, or a related technical field.
Advanced SQL skills including complex joins, window functions, common table expressions, and query performance optimization.
Hands-on experience building and maintaining ETL/ELT data pipelines using technologies such as Apache Airflow and/or dbt.
Hands-on experience working with cloud-based data warehouses, preferably Google BigQuery.
Experience developing and maintaining business intelligence solutions using Looker/LookML, Tableau, or comparable reporting platforms.
Experience building analytical data models, reusable reporting datasets, dashboards, and self-service analytics solutions.
Familiarity with Git-based version control, code reviews, and collaborative software development practices.
SQL
Tableau
Looker
Google BigQuery
Databricks
Python
R
Alteryx
Oracle
SQL Server
ETL
ELT
Data Warehousing
Agile
SAP
Celonis
Dimensional Modeling
Prompt Engineering
Data Analytics
Artificial Intelligence
SQL
Tableau
ETL
Data Architecture
Data Pipelines
Agile
Distributed Software
UX Design
Data Quality
Data Strategy
Software Development