Data Analyst 3 - Insights Enablement Hub (Hybrid - Seattle, WA)

Nordstrom•Seattle, WA

23h•Hybrid

About The Position

Nordstrom is reinventing the retail industry through the power of data and artificial intelligence. The vision for Data Science & Analytics at Nordstrom is to be the best data-driven fashion retailer in the world, and they aim to achieve this by being relevant to the customer through the application of insight and prediction to outcomes. The Data Analyst 3 role on the Insights Enablement Hub team is responsible for collecting, analyzing, and presenting data to improve decision-making and enable data-driven outcomes across the organization. This individual should possess a high degree of business curiosity and the skills to discover impactful insights from data, communicating them in a way that builds confidence and enables decisions driving business value. The Insights Enablement Hub (IEH) team, part of Nordstrom’s Insights Delivery organization, focuses on enabling analytics at scale across the enterprise. Their key areas include BI Transformation (migrating from legacy platforms to Looker), Looker platform enablement, Conversational Analytics, and Looker Studio Pro. The team builds data products, provides analytics consulting, and partners with various business teams to accelerate the adoption of modern, self-service analytics. They operate at the intersection of data engineering and analytics delivery, driven by a passion for data-driven decision-making, a devotion to advanced techniques, and a creative team spirit. The ideal candidate is a creative self-starter and strong technical contributor who continuously seeks opportunities to solve business problems with data-driven tools. Nordstrom values curiosity about the business, a passion for unlocking rich, nuanced insights from complex data, and the desire to communicate these insights to drive positive business outcomes. The company is committed to building diverse teams and fostering active inclusion, encouraging individuals from all backgrounds to apply.

Requirements

Experience developing in Looker using LookML, including building Explores, views, derived tables, and dashboard content in a production Looker environment.
5+ years of professional experience analyzing data, drawing conclusions and making recommendations.
Strong coding skills in at least one statistical or programming language (R or Python preferred) to import, summarize, and analyze data.
3+ years of experience extracting & manipulating large data sets from relational databases using SQL (BigQuery preferred; experience with other platforms such as Redshift, Oracle, or Teradata also valued).
Strong proficiency with advanced BI and visualization tools, including Looker (Looker Core, LookML, Looker Studio Pro), and familiarity with other platforms such as Tableau, Data Studio, or similar.
Clear and effective written/verbal communication and strong interpersonal skills.
Ability to develop strong, synergistic relationships with a multitude of teams and personnel
Strong problem solving skills: Plan out the priority order of tasks Make smart decisions regarding trade-offs.

Nice To Haves

are a self-directed individual who operates with passion, urgency, focus, and discipline… put simply, you get-stuff-done.
have problem solving skills that are unparalleled…you are scrappy and resourceful
are an adaptable team player. You will enthusiastically take on other assignments as needed to support your team!
are detailed-oriented with a knack for precision and accuracy in numbers and analyses.
are someone who appreciates diversity in all its forms
are someone who appreciates a company that values and encourages work-life balance.

Responsibilities

Partner with key stakeholders to define success and develop measurement frameworks.
Dive deep into complex business problems and provide insights on business vertical performance through hypothesis testing.
Responsible for delivering a suite of analytical products include analyses, dashboards, insights, and recommendations.
Present the results to the stakeholders up to executive level and guide them to make the best use of analytics in their domain.
Find opportunities to use data to develop new strategies and improve overall performance.
Deliver high quality solutions and recommendations to a variety of problems both independently and through the collaboration with team members and business partners to drive outcomes.
Bring data to life through storytelling in a clear and meaningful way to audiences with mixed levels of technical expertise.
Reconcile divergent demands from multiple stakeholders in a fast-paced work environment.
Collect, analyze, and interpret data to support BI platform enablement, dashboard development, and Looker adoption across business teams.
Actively collaborate to apply learning to other channels/campaigns/products/business units.