Data Analyst Jobs at Daisy Brand with Visa Sponsorship
Daisy Brand hires Data Analysts to support supply chain, sales, and operational decisions across its dairy manufacturing business. The company has a history of sponsoring work visas for this function, making it a realistic target if you need H-1B, F-1 OPT, or TN support.
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Get Access To All JobsAbout Daisy Brand
Daisy Brand is a nationally recognized leader known for delivering high-quality products and maintaining a strong commitment to innovation, integrity, and operational excellence. As we continue to expand our data-driven capabilities, we are investing in advanced analytics and quantitative research to enhance decision-making across the organization.
We are seeking a talented and motivated Quantitative Researcher to join our team and contribute to the development of sophisticated analytical models that support strategic initiatives.
Position Overview
The Quantitative Researcher will play a critical role in analyzing complex datasets, developing predictive models, and generating insights that influence key business decisions. This role requires a strong foundation in mathematics, statistics, and programming, along with the ability to translate technical findings into actionable recommendations.
This position offers flexibility with full-time and part-time opportunities, along with a hybrid work environment that combines remote and in-office collaboration.
Key Responsibilities
- Design, develop, and implement quantitative models for forecasting, optimization, and risk analysis
- Analyze large, structured and unstructured datasets to identify trends and patterns
- Apply statistical techniques, machine learning algorithms, and data mining methods
- Collaborate with cross-functional teams including analytics, engineering, and business units
- Translate complex analytical results into clear, actionable insights for stakeholders
- Build and maintain scalable data pipelines and modeling frameworks
- Evaluate model performance and continuously improve methodologies
- Conduct research on new quantitative techniques and industry best practices
- Prepare reports, dashboards, and presentations to communicate findings effectively
Required Qualifications
- Bachelor's degree or higher in Mathematics, Statistics, Economics, Finance, Computer Science, or a related quantitative field
- Strong programming skills in Python, R, or similar languages
- Experience with statistical modeling, machine learning, or quantitative analysis
- Proficiency in data analysis tools and libraries (e.g., pandas, NumPy, scikit-learn)
- Strong analytical and problem-solving abilities
- Ability to work independently and collaboratively in a team environment
- Excellent written and verbal communication skills
Preferred Qualifications
- Master's or PhD in a quantitative discipline
- Experience working with large-scale data systems or cloud platforms
- Familiarity with SQL and database management
- Knowledge of financial modeling, forecasting, or optimization techniques
- Prior experience in a research, analytics, or data science role
Compensation & Benefits
- Base Salary: $165,000 – $185,000 per year
- Annual Bonus: Typically 10% – 20% of base salary
- 401(k) Retirement Plan
- Comprehensive Health Insurance
- Dental and Vision Insurance
- Life Insurance Coverage
Work Environment & Flexibility
- Full-Time and Part-Time opportunities available
- Hybrid work model (remote and in-office flexibility)
- Collaborative and innovation-focused culture
Eligibility Requirements
- Must be authorized to work in the United States
- USA applicants only will be considered
About Daisy Brand
Daisy Brand is a nationally recognized leader known for delivering high-quality products and maintaining a strong commitment to innovation, integrity, and operational excellence. As we continue to expand our data-driven capabilities, we are investing in advanced analytics and quantitative research to enhance decision-making across the organization.
We are seeking a talented and motivated Quantitative Researcher to join our team and contribute to the development of sophisticated analytical models that support strategic initiatives.
Position Overview
The Quantitative Researcher will play a critical role in analyzing complex datasets, developing predictive models, and generating insights that influence key business decisions. This role requires a strong foundation in mathematics, statistics, and programming, along with the ability to translate technical findings into actionable recommendations.
This position offers flexibility with full-time and part-time opportunities, along with a hybrid work environment that combines remote and in-office collaboration.
Key Responsibilities
- Design, develop, and implement quantitative models for forecasting, optimization, and risk analysis
- Analyze large, structured and unstructured datasets to identify trends and patterns
- Apply statistical techniques, machine learning algorithms, and data mining methods
- Collaborate with cross-functional teams including analytics, engineering, and business units
- Translate complex analytical results into clear, actionable insights for stakeholders
- Build and maintain scalable data pipelines and modeling frameworks
- Evaluate model performance and continuously improve methodologies
- Conduct research on new quantitative techniques and industry best practices
- Prepare reports, dashboards, and presentations to communicate findings effectively
Required Qualifications
- Bachelor's degree or higher in Mathematics, Statistics, Economics, Finance, Computer Science, or a related quantitative field
- Strong programming skills in Python, R, or similar languages
- Experience with statistical modeling, machine learning, or quantitative analysis
- Proficiency in data analysis tools and libraries (e.g., pandas, NumPy, scikit-learn)
- Strong analytical and problem-solving abilities
- Ability to work independently and collaboratively in a team environment
- Excellent written and verbal communication skills
Preferred Qualifications
- Master's or PhD in a quantitative discipline
- Experience working with large-scale data systems or cloud platforms
- Familiarity with SQL and database management
- Knowledge of financial modeling, forecasting, or optimization techniques
- Prior experience in a research, analytics, or data science role
Compensation & Benefits
- Base Salary: $165,000 – $185,000 per year
- Annual Bonus: Typically 10% – 20% of base salary
- 401(k) Retirement Plan
- Comprehensive Health Insurance
- Dental and Vision Insurance
- Life Insurance Coverage
Work Environment & Flexibility
- Full-Time and Part-Time opportunities available
- Hybrid work model (remote and in-office flexibility)
- Collaborative and innovation-focused culture
Eligibility Requirements
- Must be authorized to work in the United States
- USA applicants only will be considered
See all 48+ Data Analyst at Daisy Brand jobs
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Get Access To All JobsTips for Finding Data Analyst Jobs at Daisy Brand Jobs
Frame your analytics experience around CPG operations
Daisy Brand evaluates Data Analysts on their ability to work with supply chain, demand forecasting, and retail sales data. Tailor your resume and portfolio to show experience with those data types, not generic business intelligence work.
Verify your OPT authorization before the offer stage
If you're on F-1 OPT, confirm your EAD is current and your STEM extension eligibility is clear before your final interview. Daisy Brand is a consumer goods employer and will need you work-authorized from day one.
Ask about LCA filing timelines during offer negotiation
Your employer files the Labor Condition Application with DOL before USCIS can process an H-1B petition. Clarify how far in advance Daisy Brand starts this process so you can plan your start date without gaps in authorization.
Identify the right internal sponsor at a manufacturer
Food and beverage companies often have HR generalists who handle sponsorship infrequently. Connecting with a hiring manager in supply chain analytics or finance who has sponsored before gives your application a stronger internal advocate.
Check open Data Analyst roles on Migrate Mate
Daisy Brand posts Data Analyst positions across different functional areas. Use Migrate Mate to filter open roles by visa type so you only spend time applying to positions where sponsorship aligns with your current status.
Understand how TN status applies to your Data Analyst role
Canadian and Mexican nationals can enter the U.S. as Data Analysts under TN status if the role requires a bachelor's degree in a qualifying field like computer science, statistics, or engineering. Confirm the job description matches a USMCA-eligible occupation category before your interview.
Data Analyst at Daisy Brand jobs are hiring across the US. Find yours.
Find Data Analyst at Daisy Brand JobsFrequently Asked Questions
Does Daisy Brand sponsor H-1B visas for Data Analysts?
Yes, Daisy Brand has sponsored H-1B visas for Data Analyst roles. Because H-1B cap-subject petitions are tied to the annual lottery, timing matters. If you are not already H-1B exempt, your employer needs to register you in the March lottery window, with employment typically starting October 1 of the same year.
How do I apply for Data Analyst jobs at Daisy Brand?
Applications go through Daisy Brand's careers portal. Before applying, confirm the role lists visa sponsorship as available, since not every Data Analyst posting will carry the same sponsorship terms. Migrate Mate lists open Data Analyst positions at Daisy Brand filtered by visa type, which makes it easier to find the right fit before you apply.
Which visa types does Daisy Brand use for Data Analyst hires?
Daisy Brand has used H-1B, F-1 OPT, and TN visas for this role. F-1 OPT is the most common entry point for recent graduates, with H-1B sponsorship as the longer-term pathway. TN status is available for Canadian and Mexican nationals in qualifying technical fields, and it does not require a lottery.
What qualifications does Daisy Brand expect for Data Analyst roles?
Most Data Analyst positions at Daisy Brand target candidates with a bachelor's degree in statistics, computer science, mathematics, or a related quantitative field. Practical experience with SQL, data visualization tools, and supply chain or CPG data sets strengthens your application. A master's degree can help differentiate you for more senior analyst roles.
How long does the visa sponsorship process take for a Data Analyst at Daisy Brand?
Timeline depends on the visa type. F-1 OPT can be activated relatively quickly if your EAD is already approved. TN status can be obtained at a port of entry for Canadians or at a U.S. consulate for Mexican nationals. H-1B sponsorship requires lottery selection in March and USCIS processing that can run three to five months without premium processing.
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