Get Hired Faster With COMPANY_NAME!

Don't you ever think you landed here by any accident, You are here because you are searching for something bigger. You know what?

A better Job
A better Future
A better Knowledge
A better Paycheck
A greater Path to walk on.

And COMPANY_NAME is here to give you exactly what you've been missing for so long. The reality is that most job seekers chase job postings, but successful job seekers attract job offers by chasing the accurate information. Therefore, that's the shift COMPANY_NAME is going to help you make. Here are the top 10 ideas to up-skill yourself, so lean in to begin:

1: COMPANY_NAME Smart Tools and Direct Employer Connections Help Speed Up Your Hiring Process

COMPANY_NAME is a career-changing advantage that most seekers never get access to. Imagine...

Instead of applying for job after job and still not getting any callbacks, you suddenly bump into a tool that can do the heavy lifting for you.
Instead of wondering, "What do employers actually want?", you are getting insights straight from the employer's desk.
Instead of hoping your resume gets noticed, it’s kept on the table of decision-makers who are hiring right now.

That's the difference COMPANY_NAME makes. Our tools will let you reach employers directly, which automatically speeds up your hiring process.

2: With Better Matches, Real-time Job Alerts, and Direct Employer Responses, COMPANY_NAME Helps Many Candidates Secure Interviews and Job Offers Within 15 to 30 Days!

How does COMPANY_NAME make this possible?

On COMPANY_NAME, you get notified for roles aligned with your profile right from the start. When an employer posts a role that matches your qualifications and skills, you’ll know first. When you apply early, your chances of getting noticed and shortlisted increase by 20%.

COMPANY_NAME also offers direct employer responses—no more waiting for weeks. Here you engage with hiring managers who are actively looking for candidates.

When all these features combine in one place, you move from your first match to your first interview within days. And ultimately, from application to offer—all within 15 to 30 days!

3: The Type of Resume You Need to Get Priority Placement

With COMPANY_NAME, you don’t just need a resume—you need a strategy. A system that pushes your name to the right tables. We’ll show you exactly how the most successful candidates take initiative and get noticed.

4: Browse Full-Time, Part-Time, and Freelancing Roles With COMPANY_NAME

The job market isn’t one-size-fits-all—and your career shouldn’t be either. COMPANY_NAME gives you access to a wide range of opportunities including full-time, part-time, and freelancing roles all in one place.

5: COMPANY_NAME Helps You Grow Your Career

COMPANY_NAME provides insights, tools, and role-matching that help you find the right direction, the right skills, and the opportunities aligned with your ambition.

6: The Easiest Way To Find A Job

COMPANY_NAME cuts the noise, the endless scrolling, and the confusion. With accurate matches, direct employer connection, and real-time updates, you get a clear and simple path from application to interview.

7: Find Roles That Offer Growth, Culture & Benefits

COMPANY_NAME helps you find roles where you grow, feel supported, and thrive—not just survive. With us, you discover opportunities that elevate your professional life.

8: Get Support With Resume, Interviews & Career Planning

COMPANY_NAME provides expert guidance on resumes, interviews, and planning so employers instantly recognize your strengths and value.

9: Your Future Starts Today

COMPANY_NAME gives you everything you need—tools, guidance, and opportunities—to step forward confidently and begin a new chapter where your potential is seen and supported.

10: Get Hired Within 15 to 30 Days With COMPANY_NAME

COMPANY_NAME follows a smart, strategic, and proven approach that gets your profile noticed faster and moves you toward interviews and offers within 15 to 30 days.

Manager, Marketing Channel Analytics (Hybrid, Seattle)

About the position

Nordstrom’s centralized Customer Analytics team focuses on supporting executive management with robust decision support data science. We build data science products and provide analytics consulting in support of strategic business decisions, including customer segmentation, marketing, company strategy, and digital experience. We work as the quantitative right-hand for the executive team with a passion for supporting data-driven decision making, a devotion to advanced techniques, along with a creative team spirit! We are looking for a Manager Marketing Mix Modeling. This role sits at the center of a modern measurement stack supporting Marketing Mix Modeling (MMM) and macro-level regression/econometric analysis, and serves as the analytical backbone for marketing investment decisions across the enterprise. The ideal candidate is a creative self-starter and strong technical contributor who is always looking for new opportunities to solve business problems with data-driven tools, with a particular focus on optimizing marketing investment through a variety of statistical models. The role has an opportunity to tackle challenges from ideation to insights delivery, with visibility across the leadership organization. This individual should have a high degree of curiosity about the business and the skills to discover impactful insights from data and communicate those insights in a way that builds confidence and enables decisions that drive business value.

Responsibilities

Lead a team of up to four analysts and data scientists within the Nordstrom Marketing Analytics team supporting foundational marketing measurement tools, frameworks, models, & attribution.
Analytical owner of Nordstrom’s MMM including existing model refits, model validations, & incorporating incrementality tests, geo-experiments, and attribution data to enhance & improve model performance.
Diagnose and resolve modeling challenges such as adstock decay, multicollinearity, and channel saturation curves
Optimize marketing investment toward ROAS, LTV:CAC, & customer targets.
Bring data to life through storytelling in a clear and meaningful way to audiences with mixed levels of technical expertise.
Manage and balance projects across competing priorities to focus on the most impactful work to maximize the value of your work to the business.
Partner with key stakeholders to define success and develop measurement frameworks.
Conduct scenario and sensitivity analysis to stress-test marketing plans against varying economic conditions, resulting in budget optimization recommendations
Present the results to the stakeholders and guide them to make the best use of the insights for their purposes and use-cases.
Compile, cleanse, & analyze data to drive actionable outcomes in support of business objectives.
Use advanced analytical and statistical practices to create thorough and actionable insights.
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.
Proven leadership and management skills with demonstrated skills in setting organizational vision and supporting strategies, building strong, effective, and self-directed teams.

Requirements

Bachelor’s degree in mathematics, statistics, computer science, economics, operations research or in a quantitative field (or equivalent experience).
4+ years hands-on professional experience in Data Science and Analytics, with a focus on Marketing & Media Channel analytics roles.
3-5 years of strong coding skills in at least one statistical or programming language (e.g. SQL, R, Python) to import, process, summarize, and analyze data, while drawing conclusions and making recommendations.
3+ years of experience with advanced BI visualization (Tableau or Looker preferred).
Fluency with descriptive and inferential statistical techniques, including experimental design (DOE) concepts and their application.
Proficiency with statistical techniques and when best to apply given current situation.
Proficient in extracting large data sets from various relational databases using SQL (Big Query, Amazon Redshift, Oracle, Teradata preferred).
Prior experience supporting teams of data analysts and/or data scientists.
Background in retail, e-commerce, or omnichannel business models

Benefits