Digital Analyst – “Lulus / Lulus.com “

13% 1-Year Employee Growth Rate | 21% 2-Year Employee Growth Rate | LinkedIn | $120M Venture Funding

What Is Employee Growth Rate & Why Is It Important?

Join the LuCrew!

Lulus Vision

At Lulus, our team is committed to offering the best possible service to our customers throughout the world. Our fun and casual work environment focuses on innovation and teamwork at all levels of the organization. We are always on the lookout for talented and dedicated people to join the Lulus team as we continue to build our community!

Our Commitment

Lulus is proud to be an equal opportunity employer and strives to create an organizational climate that fosters belonging, dignity, and justice so that all of our team members can show up as their authentic selves and thrive. We are committed to increasing the representation of marginalized people across our team through hiring practices that value lived experience and unique perspectives. Our work environment embraces creative expression, collaboration, and connection without the expectation of assimilation.

As a Digital Analyst at Lulus Fashion Lounge you will work across the analytics lifecycle to deliver a broad range of data, reporting, and analyses that provide both deep and quick-turn insight into our customers and operations to inform tactics and strategy across our business. You will work with the Optimization & Insights team to drive topical analyses ranging from customer relationship management to digital engagement and commerce to opportunity identification. You will work collaboratively with business and technical leads to design, build, and deliver insights by querying multiple data sources, applying the appropriate statistical tools, and integrating the insights back into our reporting & discovery platforms to guarantee consistent results are delivered to our stakeholders. You will ensure a sharp focus on the accuracy and interpretability of results and strive to build and maintain automated, repeatable processes to help speed the path to insight on future projects and support a platform of insights that is always on. You will be a key organizational liaison, helping translate business problems into analytics workstream projects and flowing the complex output of your analyses into concrete, intuitive, actionable recommendations for business and/or product improvement.

What You’ll Do

• Leverage an understanding of statistics and mathematics, combined with technical know-how, to turn data discoveries into cogent, actionable insights for business stakeholders

• Navigate data of all shapes and sizes and leverage different tools and techniques to solve the problem at hand

• Leverage a fine mix of technical and communication skills to translate key questions into data acquisition processes, data sets, statistical models and analysis that answer those questions

• Communicate clearly and consistently to both technical and non-technical audiences by translating analytic insights into concrete, actionable recommendations for business

• Leverage strong writing, data visualization and communication skills to communicate complex quantitative analysis in a clear, precise, and actionable manner to non-technical stakeholders

• Apply quantitative thinking and methods to answer difficult business questions from the perspective of data

• Execute an analytics pipeline supporting multiple levels of the organization via a broad array of analytical activities, spanning basic reporting and visualization of data, to creating statistical models that describe complex business processes and phenomena

• Transform & effectively translate web scale data into concrete, actionable insights that solve day-to-day operational challenges and inform strategic decision making at all levels of the organization

What You’ll Need

• Bachelors degree in mathematics, statistics, physics, economics, engineering or other quantitative discipline required

• 1-3 years experience as a data analyst, business analyst, operations analyst, statistician, or similar role required

• Demonstrable, hands on experience leveraging statistical methods (inference, experimentation/hypothesis testing, modeling) to solve practical business problems

• Intermediate to Advanced SQL skills including complex query construction and optimization

• Intermediate to Advanced skills with an analytics-oriented programming language and experience developing functional, reusable analytics pipelines [Python, R, Julia, etc.]

• Experience developing & deploying complex visualizations on modern reporting & analysis platforms [Tableau, Looker, Mode, etc.]

• Experience with core web analytics tools [Adobe Analytics, Google Analytics, etc.]

What You’ll Love About Us

• Great Company Culture – Where you can be you!

• Work that stays at work – Genuine work/life balance

• Rest and Relaxation – Paid time off, 8 Holidays, 2 floating days

• Health Benefits – Medical with FSA, Dental and Vision

• Prepare for the future – 401(k) with 4% company match

• Wardrobe Perks – 30% employee discount!

We’re ready to meet you! Come help us achieve our ambitious goals!

Tagged as: 201-500 Employees, Hide US-Only Jobs, Venture Funded