Description

BUSINESS /DATA UNDERSTANDING 

Review and analyze the necessary internal data requirements.

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

DATA PREPARATION 

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.

MODELLING OF DATA  

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.

EVALUATION

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.

DATA VISUALIZATION 

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.

Qualifications

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.

Additional Info

This position is open to U.S. citizens, U.S. permanent residents, or individuals who are currently authorized to work in the United States on a valid visa.

The base salary range for this position is $72,000 - $108,000 + cash incentives. Actual salary offers may vary based on work experience. The base pay range is subject to change and may be modified.

Our current Benefits include:
Comprehensive Medical, Dental and Vision Plans, 401k Match, Family Leave, PTO & Paid Holiday Schedule, Pet, Legal, and Life Insurance, Tuition Reimbursement (Benefits listed may vary depending on the nature of your employment and/or work location)

Red Bull North America, Inc. is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, age, or any other classification protected by Federal, state, or local law. We will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance.

Company Description

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.