Business Analyst
Red Bull North America, Santa Monica, CA, United States
Qualifications
1-3 years of experience in data analysis or similar roles, along with a 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, and familiarity with relational databases such as SQL.
Basic understanding of statistical measures, techniques, and data visualization principles; experience with tools like Tableau or Power BI is preferred.
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.
Preferred experience with R, Python, SAP, Power Query, or Access, as well as familiarity with large datasets or statistical programming tools.
Physical Requirements
The employee is regularly required to use their hands for tasks such as fingering, handling, or feeling objects; reaching with their hands and arms; and engaging in activities that involve talking or hearing.
The employee frequently needs to walk and sit.
Occasionally, the employee must stand, stoop, kneel, crouch, or crawl.
The role requires the employee to regularly lift and/or move objects weighing up to 25 pounds, as needed.
The job also necessitates specific vision abilities, including close vision, distance vision, peripheral vision, depth perception, and the ability to adjust focus.
The work environment involves exposure to moving mechanical parts and outdoor weather conditions.
Additionally, the noise level in the workplace is typically moderate.
Employment Details
Travel 10-20%
Permanent
Benefits eligible
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1-3 years of experience in data analysis or similar roles, along with a 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, and familiarity with relational databases such as SQL.
Basic understanding of statistical measures, techniques, and data visualization principles; experience with tools like Tableau or Power BI is preferred.
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.
Preferred experience with R, Python, SAP, Power Query, or Access, as well as familiarity with large datasets or statistical programming tools.
Physical Requirements
The employee is regularly required to use their hands for tasks such as fingering, handling, or feeling objects; reaching with their hands and arms; and engaging in activities that involve talking or hearing.
The employee frequently needs to walk and sit.
Occasionally, the employee must stand, stoop, kneel, crouch, or crawl.
The role requires the employee to regularly lift and/or move objects weighing up to 25 pounds, as needed.
The job also necessitates specific vision abilities, including close vision, distance vision, peripheral vision, depth perception, and the ability to adjust focus.
The work environment involves exposure to moving mechanical parts and outdoor weather conditions.
Additionally, the noise level in the workplace is typically moderate.
Employment Details
Travel 10-20%
Permanent
Benefits eligible
#J-18808-Ljbffr