Start Date
Immediate
Expiry Date
08 Nov, 25
Salary
130000.0
Posted On
10 Aug, 25
Experience
0 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Collaboration, Power Bi, Data Engineering, Statistics, Data Analytics, Mathematics
Industry
Information Technology/IT
BUSINESS INTELLIGENCE ANALYST
At Horizon Organic, we’re growing a culture of passionate people driven to do good for the horizon we all share. We’re building the tomorrow we want to see. Every single day.
Joining our team means being part of a dynamic environment where your skills are valued, and your contributions make a real difference. We offer diverse opportunities for career growth and development. Embark on a rewarding journey with us in shaping the future of organic dairy!
Two generations of families—and counting—have grown up on Horizon Organic® milk. From the start, as the leading organic milk producer in the U.S., Horizon has been committed to delivering innovative, nourishing dairy that growing families can rely on. In 2023, Horizon Organic became a brand of Platinum Equity. Today, Horizon works with more than 500 farmers across the U.S. to bring high-quality, certified organic milk to consumers. For more information on Horizon’s full portfolio of organic dairy products, visit Horizon.com.
JOB SUMMARY:
This individual contributor is primarily responsible for driving strategic data-informed decisions, gathering data and information on targeted variables in an established systematic fashion, preparing data for analytic efforts, and interpreting data analyses. This position executes creative data analytic approaches leading to actionable outcomes, develops, implements, and automates business and reporting solutions, and develops analytical and/or statistical models enabling informed business decisions.
MINIMUM QUALIFICATIONS:
PREFERRED QUALIFICATIONS:
How To Apply:
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The role involves leveraging data analytics and business intelligence tools to provide actionable insights, developing and maintaining data models, dashboards, and reports, collaborating with cross-functional teams to understand their data needs, ensuring data integrity and accuracy, and staying updated with industry trends and best practices to drive continuous improvement in data analytics processes.