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Senior Analyst, Global DTC Business Analytics

Country : USA USA

State : Oregon

County : Coos County

Town : Remote

Category : Sales

Contract type : Permanent

Availability : Full time

Company presentation

JOB DESCRIPTION
You're an original. So are we.
We're a company of people who like to forge our own path. We invented the blue jean in 1873, and we reinvented khaki pants in 1986. We pioneered labor and environmental guidelines in manufacturing. And we work to build sustainability into everything we do. Our brands stand for freedom and self-expression around the world.

Where we lead, others follow. For more than 160 years, we've used the strength of our brands to lead with our values and make an outsized impact on the world. We employ more than 15,000 people globally to support our great brands: Levi's®, Dockers®, Denizen® and Signature by Levi Strauss & Co.

Here at Levi Strauss & Co. We're passionate and focused on delivering a world-class, seamless, and personalized consumer experience. We are looking for a motivated individual who is passionate about leading change to join our Global Direct-to-Consumer (DTC) team. In this role, you will work on specific Business Analytics projects and deliver value to our DTC business.
Responsibilities
Deliver value to the DTC business through analytics projects and initiatives:


Conduct, manage, document, and present in-depth analyses to uncover meaningful insights that help guide the DTC business teams. Identify trends and opportunities to drive innovation, both in what we do and how we do it.


Design and maintain suite of impactful reports, dashboards, and tools that empower business users to self-serve data, answer critical business questions, and make real-time decisions. Ensure that data pipelines and visualizations are accurate, documented, and evaluated as the business grows over time.


Conduct competitive benchmarking, consumer research, industry trends, internal performance analytics, economic modeling and scenarios etc.


Conduct financial analysis (including benefit case creation and financial modeling), with the ability to understand how a solution or change can impact a P&L.


Understand business needs and anticipate questions/requests based on understanding of the business and the data.


Collaborate directly and build relationships with key stakeholders including Ecommerce, Product, Retail Operations, Finance, IT, Data Engineering and Data Science etc.


Actively seek opportunities to cross-functionally share project outcomes, analytical insights, best practices, and ways of working.


Develop expertise and continue to keep a pulse on retail industry, ecommerce, digital innovation and next-generation shopping technologies.


Lead by example in fostering data-driven culture across DTC:


Demonstrate a spirit of cooperation, teamwork, and transparency.


Foster a culture of continuous improvement with a focus on providing solutions and delivering results. Lead by example and provide on-going mentorship and guidance to junior team members.


Communicate clearly and effectively to technical and non-technical audiences, and create understanding, engagement, and buy-in for data and insights. Build and maintain trusting relationship with a diverse group of cross-functional partners.


Promote the use of data-driven insights through a combination of upskills training and knowledge/best practice sharing.


Support the Analytics Manager in evaluating new analytical, data science, machine learning, and AI technologies and tools that can boost performance, innovation, and business value.


Collaborate with technical and data engineering team to ensure design and execution of data structures and use cases meet requirements of business and analytics needs.

Job description

Currently, LS&CO requires proof of being fully vaccinated for COVID-19 as a condition of commencing employment, except in those jurisdictions where prohibited by law. Medical or religious accommodations, or other exemptions that may be required by applicable law, will be approved when properly supported. Further information is provided during the recruitment process.

*LI-Remote

EOE M/F/Disability/Vets

Current LS&Co Employees, apply via your Workday account.

Profile

Requirements
  • Bachelor's degree required, Advanced Degree in Mathematics, Physics, Computer Science, Engineering, Statistics, or another quantitative field preferred.

  • 5+ years of experience of relevant work experience within advanced analytics, including model creation, forecasting, descriptive analytics, and query/script development.

  • Strong SQL and Python skills required.

  • Proficiency with data visualization and dashboard tools such as Tableau, Looker, or similar.

  • High analytical and financial skills with the ability to synthesize complex data and run in-depth analyses.

  • Ability to communicate complex quantitative analysis, analytic approaches, and findings in a clear, precise, and actionable manner.

  • Advanced in Excel; experience building financial and sensitivity models, combining large datasets and using advanced Excel functions.

  • High proficiency in PowerPoint with the ability to craft compelling presentations and storyline developed from analytical work.

  • Prior experience and understanding of Retail and E-commerce business is a strong plus.



We put a lot of thought into our programs to provide you with a benefits package that matters. Whether it is for medical care, taking time off, improving your health or planning for retirement, we've got you covered. Here's a small snapshot:


  • 401K match: $1.25 for every $1.00 you contribute up to the first 6% of pay you save.

  • Five hours of paid volunteer time per month with nonprofit organizations

  • Product discount of 60% off regular-price merchandise




Levi Strauss & Co. is proud to be an Equal Opportunity / Affirmative Action Employer. We are committed to leveraging the diverse backgrounds, perspectives, and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate in employment decisions on the basis of any protected category. Minorities, females, people with disabilities and veterans are highly encouraged to apply.
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