Data Analyst 2 - Nordstrom Media Network, Customer Insights and Analytics - Remote

The Data Analyst 2 at Nordstrom Media Network is responsible for delivering data-driven insights through storytelling, creating impactful data visualizations, supporting campaign reporting efforts, and partnering with stakeholders to solve strategic business challenges. The role encompasses advanced analytics and requires a collaborative approach to harness data for impactful decision making.

To excel in the Data Analyst 2 position at Nordstrom Media Network, candidates should have 2-5 years of experience analyzing complex media data, strong SQL skills, and proficiency in advanced business intelligence tools like Looker or Tableau. A Bachelor's degree in a relevant quantitative discipline is preferred, along with a background in marketing and the retail industry.

The Data Analyst 2 plays a pivotal role in campaign performance analysis at Nordstrom Media Network by generating insights that inform marketing strategies. This includes conducting post-campaign analyses, performing incrementality testing, and providing recommendations based on data trends, all aimed at optimizing media engagement and enhancing brand performance.

Success as a Data Analyst 2 at Nordstrom Media Network hinges on a blend of analytical skills and creativity. Strong storytelling abilities and expertise in data visualization are essential, as well as proficiency in SQL and familiarity with BI tools. A strategic mindset and experience in collaborating cross-functionally also play a crucial role in helping drive impactful business decisions.

As a Data Analyst 2 at Nordstrom Media Network, you'll have numerous opportunities for professional growth. You'll work alongside industry experts, participate in collaborative projects that enhance learning, and receive support for ongoing skill development. Additionally, your contributions directly influence strategic initiatives, providing a rewarding experience that fosters both personal and career advancement.

When answering this question, focus on specific visualization tools you've used, such as Tableau or Looker. Discuss how you've applied them to present data in a way that drives insights and supports decision-making, and provide examples of your work that had a measurable impact.

In your response, emphasize the importance of data validation and cleaning processes. Discuss methods you use to cross-verify data sources and ensure integrity, like peer reviews or software tools that identify anomalies, showcasing your commitment to high-quality data analysis.

Share a specific project, detailing the challenges faced and the methodologies employed to overcome them. Highlight your problem-solving skills and ability to work under pressure, and conclude with the successful outcome of your efforts and its significance to the overall business strategy.

Explain your approach to storytelling by discussing how you translate complex data findings into relatable narratives. Mention techniques you use to simplify data, such as using visuals and analogies, to ensure stakeholders from different backgrounds comprehend the insights you're presenting.

Discuss the steps involved in post-campaign analysis, including data collection, metric evaluation, and how you derive actionable insights. Mention specific analyses you might employ, like cohort analysis or performance benchmarking, to illustrate your analytical processes.

When answering, highlight a project where collaboration was key. Describe how you identified stakeholders' needs, gathered data that aligned with their goals, and worked on actionable solutions that led to enhanced business outcomes, showcasing your teamwork and strategic thinking.

Share specific projects where you've developed and deployed SQL queries. Talk about the complexity of the data you worked with, the insights derived from your analyses, and how you utilized SQL to streamline reporting processes and enhance data accessibility for the team.

Emphasize your organizational skills and methods for prioritizing tasks, such as using project management tools or frameworks. Discuss how you communicate with teammates to manage expectations and ensure focus on high-impact projects, illustrating your ability to excel in a dynamic environment.

Reflect on key lessons you've learned from past analyses, such as the importance of understanding the context behind data or the need to adapt findings into actionable strategies. Share how these insights shape your current analytical practices and decision-making processes.

This is your chance to express your passion for the retail industry, data, and how Nordstrom's mission resonates with you. Talk about your admiration for their innovative use of data and your eagerness to contribute to a team that values data-driven decision making, aligning your career goals with their vision.