Data Analyst

Data Analyst

About this role:

Dopple is seeking an experienced Data Analyst to help us build the most joyful and fun shopping experience for parents. In this role, you will leverage data to transform the way parents discover new brands and styles for their kids via deep personalization, smart recommendations and data-driven decision-making. You will work cross-functionally with company leadership, Operations, Engineering and Merchandising teams to grow and maintain the Dopple data platform, from which to model customers’ preferences and buying intent to identify new opportunities, mitigate subscriber churn, and amplify the impact of both new and existing product capabilities.

Please note that this role can be based in New York, NY or remote within the US.

Your responsibilities will include:

    • Serve as a subject matter expert and escalation point on data quality issues.
    • Leverage data to build conviction and consensus around prioritizing features that improve the customer and vendor experience and scale the business.
    • Create, test, monitor, and improve key data metrics tied to the customer and vendor experience.
    • Aggregate data from different sources into a data warehouse and advise on data architecture decisions.
    • Advocate for process improvements to quickly drive Dopple’s data platform forward with a metrics-driven, continuous improvement approach.Work with Engineering and the Data org to deliver insights that inform major product and business decisions and scale successful experiments.
    • Quickly synthesize ambiguous customer problems into clear situation analyses, summarizing the impact radius, solution options, and trade-offs of each.

The ideal candidate will exceed the following requirements:

    • 2+ years experience in data analysis or data engineering roles, building and launching successful data-driven products at scale.
    • Excellent knowledge of SQL - at Dopple we use Postgres databases and a BigQuery data warehouse.
    • Familiarity with data engineering, including data warehousing and ETL pipelines, such as Stitch, CloudFunctions, dbt and BigQuery.
    • Good knowledge of data visualization tools and techniques (e.g. Tableau).
    • Experience using Python or other programming languages is a plus.
    • B.A., B.S., or similar degree in a technical discipline (Engineering, Computer Science, Mathematics, Statistics) from a leading institution is strongly preferred.

What We Offer:

    • Competitive salary and equity package
    • Company-subsidized medical, dental & vision insurance
    • Unlimited paid time off & work from home flexibility (during and after COVID-19)
    • Free Dopple subscription and significant employee discounts
    • Learning and development programs, including education reimbursement
About Dopple: 

Dopple is reimagining kids’ retail, creating the most joyful shopping experience for parents! We are the premier children's clothing subscription service, offering the world's coolest kids styles in a convenient try-on-at-home model. Parents simply tell Dopple what they want and need via a short quiz and Dopple does the rest, curating a unique “Drop” of the coolest kids’ clothing and accessories selected for each customer’s budget, style and size. 

Our team is passionate about leveraging data, customer feedback and our incredible selection of the world’s best childrenswear brands to curate and deliver personalized styles at amazing prices. We are a close-knit team of hardworking, creative builders and problem solvers in New York, NY; North Bergen, New Jersey; San Francisco, CA and distributed around the world. 

We’re supported by some of the top consumer technology investors including Bullpen Capital, Precursor Ventures, and Goodwater Capital.  

We are an equal opportunity employer that celebrates diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by federal, state, or local laws.
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