Business Analyst

Red Bull•Santa Monica, CA

1d•Onsite

About The Position

In this role, the successful candidate will be instrumental in supporting the design, implementation, and distribution of business reports and exploratory data analysis (EDA) that integrate sales, finance, human resources (HR), and/or operations data. Additionally, this position will involve understanding critical business challenges, gathering data, conducting analyses, and interpreting findings, while simultaneously developing, streamlining, and updating key performance indicators (KPIs), dashboards, scorecards, and reports.

Requirements

1–3 years of experience in data analysis or similar roles
Bachelor's Degree in Business, Economics, Information Systems, Computer Science, or equivalent professional experience.
Strong proficiency in Microsoft Excel, including intermediate to advanced formula skills
Familiarity with relational databases such as SQL.
Basic understanding of statistical measures, techniques, and data visualization principles
Capability to translate business inquiries into actionable data analyses and effectively communicate findings to stakeholders at all organizational levels.
A strong passion for problem-solving, conducting empirical research, and automating repetitive tasks.
Solid understanding of data quality, the mechanics of data processing, and leveraging technology for data extraction and analysis.
Demonstrates a quick learning ability, self-motivation, and effectiveness in collaborating with diverse team environments.

Nice To Haves

Experience with tools like Tableau or Power BI is preferred.
Preferred experience with R, Python, SAP, Power Query, or Access, as well as familiarity with large datasets or statistical programming tools.

Responsibilities

Review and comprehend the required RBDC business requirements.
Analyze and interpret data related to Sales, Finance, HR, and Operations.
Perform data cleansing and structuring to ensure high-quality data outputs.
Prepare, interpret, and distribute reports on a regular schedule, as well as on an ad hoc basis.
Provide training to end users on how to effectively utilize the reports.
Continuously seek opportunities to simplify, automate, and enhance the reporting process.
Organize data in the most efficient manner for regular and ad hoc reporting outputs.
Define all data modeling requirements necessary to generate regular and ad hoc reports.
Test all data requirements thoroughly before finalizing any type of reporting.
Document the required procedures for all regularly established reporting outputs.
Analyze data, interpret findings, and create presentations based on data outputs to provide consultation and guidance on insights and recommendations.
Prepare documentation, presentations, and reviews of analytical outputs.