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Data Analyst

Saatva

Data Analyst

Austin, TX
Full Time
Paid
  • Responsibilities

    We are a 2018 Crain's Fast 50 Company (https://www.crainsnewyork.com/awards/saatva-fast-50-2018) that is disrupting the sleep industry by providing superior luxury products at affordable prices through an innovative e-Commerce platform and infrastructure. We are seeking a Data Analyst to help contribute to our growth by providing insights and analytics in our Austin, TX office.

    ROLE

    You will be a key contributor to a small, but growing, team of data analysts that support disciplines throughout the entire company, in particular, our e-commerce marketing team. You will provide subject matter expertise in statistical methods and testing frameworks for your analyses as well as collaborate with team members to improve the team practice.

    YOUR RESPONSIBILITIES:

    • Running ad-hoc analyses to identify and recommend innovative options to drive business strategy.
    • Evaluating key area trends and developing/implementing innovative programs/improvements.
    • Analyzing performance against departmental objectives.
    • Participating in monitoring departmental strategies and objectives.
    • Identifying and determining likely reasons for problematic causes of e-commerce interruption.
    • Preparing accurate documentation and communication to effectively facilitate elimination of problems / roadblocks as they occur and create efficient fixes and processes.
    • Participating in and contributing to departmental meetings by adding relevant input to assist in driving program results.
    • Becoming a domain expert in your product areas by conducting rigorous data analyses to help improve customer experiences and identify profitable growth opportunities.

    MINIMUM REQUIREMENTS:

    • Bachelor's Degree in Statistics, Math or another related analytically-inclined discipline
    • Three+ years of business experience
    • Proven command of SAS and/or R, SQL, relational databases, Python and MS Excel/PowerPoint
    • Familiarity with a variety of statistical models including regression, market basket analysis, cluster analysis, propensity models, and other modeling techniques
    • Familiarity and experience with e-Commerce datasets
      • Log files
      • Ad logs
      • Product pricing listing
      • Customer data (non PII)
    • Experience with data visualization tools (i.e. Tableau) a plus.
    • Excellent interpersonal, verbal, and written communication skills - must be able to communicate complex ideas in both technical and user-friendly language.
    • Capable of working in a dynamic environment, handling multiple projects, meeting deadlines, prioritizing appropriately and responding to issues quickly and creatively with an open and positive attitude.
    • Experience analyzing and reporting data in order to identify issues, trends, or exceptions to drive improvement of results and find solutions.
    • Experience collaborating with internal and external resources to develop strategies that meet department goals within budget and established timelines.
    • Experience with SEO and topic modeling a plus