Data Analyst III - job 2 of 2

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.

Job Summary

As a Data Analyst III you will connect, analyze, and model mountains of data to explain complex phenomena, model uncertainty, and predict & optimize outcomes to solve real world business problems. You will play a key role in turning a wide array of business problems into analysis & modeling problems to deliver timely, cogent, and actionable insights to our business partners using a variety of tools and techniques. You will work collaboratively with leaders, engineers, and analysts to help solve some of our most complex problems and develop math and machine learning backed services for operational and customer-facing applications.

What You’ll Do

• Define and execute complex analyses over a broad range of subject areas, including merchandising/product, operations/supply chain, and customer activation/engagement

• Collect and connect existing data across platforms, identify new data sources and work with data engineers to prioritize integrations needed to power analysis and model construction

• Uncover ‘hidden’ patterns and correlations using rigorous, reproducible methods and translate them to business driving measures, insights, and models

• Operate from first principles to build an appropriate understanding of different problems and work across the organization to gather requirements, build data understanding, and seek subject matter expertise as needed to frame solutions appropriately

• Partner with our data engineers to bring models from prototype to production by articulating the data pipeline, environment(s), compute/storage, testing, and monitoring required to transition your models from concept to scalable service(s)

• Work at multiple levels of the organization, combining confidence and expertise with humility and empathy, to convey complex concepts to non-quant audiences at the appropriate depth

• Create dynamic visualizations and dashboards to present complex findings in a consumable manner to a broad range of stakeholders using a variety of tools and techniques

• Mentor and share expertise with other analysts across the organization, help others find paths to develop new expertise, and champion the use of data and machine learning to solve business problems

What You’ll Need

• Methodical approach to interpreting and breaking down problems and hyper focused around the accuracy and reproducibility of results

• Demonstrable experience navigating the analytics lifecycle and applying different techniques to solve the problem at hand, with a constant focus on interpretable and actionable results

• Ability to self-organize, work independently, and simultaneously manage multiple projects while providing visibility to stakeholders on progress made, blocking issues, and expected timelines

• Strong collaboration skills and an ability to lead complex cross-organizational projects to successful completion while navigating ambiguity and conflicting priorities

• Strong writing, visualization and communication skills with the ability to communicate complex quantitative concepts in a clear, precise, and actionable manner to a broad range of non-technical stakeholders and cross-organizational leaders

• Problem solving mindset coupled with deep intellectual curiosity and fortitude, and passion for learning

• Research mindset and drive to find and assimilate applicable theoretical approaches while simultaneously building solutions in new and/or unfamiliar problem spaces

• Strong working knowledge of probability & statistics (probability distributions, inference, confidence, bootstrapping, hypothesis testing). Conceptual knowledge of linear algebra, multivariable calculus, and ODE a big plus

• Advanced SQL skills

• Advanced skills with a data-oriented programming language, with a focus on analytical/scientific computing [Python preferred]

• Experience developing core machine learning and deep learning models [regression, classification, segmentation, forecasting, nlp]. Experience with optimization is a big plus.

• Expertise in developing and deploying analytical outputs on modern reporting & analysis platforms [Tableau, Looker, Mode, PowerBI, etc.]

• 3+ years experience as a data analyst, statistician, data scientist, or similar required

• Bachelor’s degree required, with a focus in a quantitative field a big plus

Nice to Have - Bonus Points!

• Experience in ecommerce or retail

• Experience with web-scale data and cloud technologies

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 & Company Holidays

• Health Benefits - Medical with FSA, Dental and Vision

• Prepare for the future - 401(k)

• Wardrobe Perks

• Passionate, collaborative, results-focused teammates and leaders

• Ability to make a difference every day and impact our customers in meaningful ways

• Learning oriented organization with an ‘all in’ mindset

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