Sales Data Analyst

Red Bull
Santa Monica, CA

Reporting to the Senior Manager of Route to Market, the Sales Data Analyst will assist in the design, implementation, and distribution of sales reports, as well as conduct Exploratory Data Analysis (EDA) by integrating sales, finance, and marketing data. The role requires identifying key business challenges, gathering and analyzing data, visualizing and interpreting results, while simultaneously developing and optimizing KPIs, dashboards, scorecards, and reports.

RESPONSIBILITIES

Areas that play to your strengths

All the responsibilities we'll trust you with:

  • Review and analyze the necessary internal data requirements.

    Evaluate and interpret all current Sales, Finance, and Operations data.

  • Perform data cleansing and structuring to ensure high-quality data outputs.

    Prepare, analyze, and distribute all sales reports on a regular schedule, as well as on an ad hoc basis.

    Provide training to end-users on how to utilize reports, while identifying opportunities to simplify and enhance the reporting process.

  • Effectively consolidate data from multiple sources and establish data connections, including ad hoc modeling.

    Identify all data modeling requirements necessary to generate both regular and ad hoc reports.

    Verify all data requirements through testing before finalizing any form of reporting.

  • Document the required procedures for all established regular reporting outputs.

    Analyze data, interpret findings, and develop presentations to provide guidance and insights based on recommendations.

    Prepare documentation, deliver presentations, and review analytical outputs effectively.

  • Develop effective business models and representations using Business Intelligence (BI) tools. Create visually compelling and user-friendly dashboards by applying principles of UX/UI design.

EXPERIENCE

Your areas of knowledge and expertise

that matter most for this role:

  • 3+ years of experience in a data visualization role with a strong understanding of UX/UI design principles.
  • Skilled at translating data-related questions into actionable analysis and communicating results to drive business decisions.
  • Proficient in Microsoft Excel (capable of executing complex functions), as well as other applications in the MS Office suite.
  • Familiar with relational databases and SQL, as well as business operation software such as SAP and SAP BI.
  • Possesses fundamental knowledge of statistical measures and techniques.
  • Excellent communication skills with stakeholders at all organizational levels and across diverse cultural backgrounds.
  • Strong ability to leverage technology for deep data extraction and demonstrated experience in data analysis.
  • Experience working with large datasets using Access and Excel, with familiarity in statistical software like SAS and R considered a plus.
  • Background working with data visualization tools such as Power BI, Tableau, and SAP Analytics Cloud, with proficiency in related techniques preferred.
  • Fluent in English, with additional language proficiency considered an advantage.
  • Travel 0-10%
  • Permanent
  • Benefits eligible
Posted 2026-01-12

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