2ULaundry

Startup Location: Atlanta, GA

2ULaundry is the new way to do laundry and dry cleaning that helps people make time for what matters most in their lives. Customers receive exclusive access to a full suite of offerings including: flat rate laundry and dry cleaning prices, free pickup and delivery, next business day turnaround, and more. 2ULaundry is looking for a Growth & Customer Data Scientist to help drive growth throughout the funnel. This person will analyze and report on 2ULaundry’s acquisition, conversion and retention funnels – break them down by segments and cohorts, measure the impact of campaigns and tests, identify areas of opportunity and collaborate with teams to optimize the business to grow in smarter, faster ways. This role will report to the CRO and serve the highest-priority Business Intelligence needs of the leadership team. This role will be based out of our Atlanta office located in Ponce City Market. You will be successful in this role if you are a business-savvy, technically-capable analyst with SQL skills and an advanced understanding of business-to-consumer user economics. We’re looking for someone with strong analytical and statistical aptitude who possess the ability to communicate business recommendations; someone driven to ask the right questions about the business and identify data-backed opportunities and solutions. This person will sit at the intersection of customer behavior and growth strategies including acquisition and retention. This person will become obsessed with understanding trends in user behavior, attribution modeling, and constantly look at key performance metrics such as lifetime value, acquisition cost, and retention. This person will foster close working relationships with the marketing, product and engineering teams and company leadership.

What you’ll do:

Work as an embedded data analyst within our marketing organization to help set, track and achieve monthly acquisition, conversion and retention objectives including optimization of our customer onboarding form Dive deep into customer data and connect our quantitative/qualitative research insights to help us better understand how we can improve the customer journey Fulfill data and analysis requests from the marketing and leadership team and influence 2ULaundry’s data driven culture with best practices Perform analysis and modeling to show how acquisition channel, customer behaviors and product marketing initiatives impact LTV for each cohort and customer segment Help drive strategic decision-making and make business recommendations based on detailed analysis, insights and reporting on key performance indicators (KPIs) and financial results Apply best practices to the design, set-up and analysis of A/B tests to drive iterative improvement through efficient experimentation. Measure the ROI of content and marketing efforts, including organic, paid, and earned content and connect content engagement to business outcomes Complete at least one in-depth customer behavior impact analysis (e.g., analyzing impact of sending a new onboarding email stream) within the first 6 months Work with the technical team to improve tracking implementation and data accessibility to increase the information we can measure and its accuracy Create and maintain the right dashboards and data models in our BI platform, Grow, and specify data integrations necessary to conduct robust cross-channel and cross-platform analysis

Who you are:

  • 2+ years’ experience in data analytics, marketing intelligence, or performance marketing

  • A degree in Mathematics, Economics, Statistics or another quantitative field or equivalent experience

  • Advanced working knowledge of SQL and excel data manipulation

  • Experience solving complex business problems using data and transforming analyses into concise insights and recommendations

  • Experience with BI data tools (e.g. Grow), marketing automation platforms (e.g. Mixpanel), and other attribution or optimization products

  • Familiarity with A/B testing and customer acquisition channel optimization

What You’ll Get:

  • Competitive compensation package

  • Opportunity to work with a fast-growing startup with endless opportunities

  • Flexible Vacation Policy. Rest when you need it, rock when you don't

  • Heavily Discounted Laundry & Dry Cleaning (Now who doesn’t want that?)