Data Contributor Jobs at Daisy Brand with Visa Sponsorship

Data Contributor roles at Daisy Brand sit at the intersection of supply chain operations and food manufacturing data systems, supporting the accuracy and flow of product information across a dairy-focused business. Daisy Brand has sponsored candidates across multiple work visa categories for data-oriented roles, making it a viable target for international applicants with the right technical background.

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Overview

Open Jobs48+
Top Visa TypeH-1B
Work Type100% Hybrid
Median Salary$175K
Top LocationDallas, TX
Most JobsDaisy Brand

Showing 5 of 48+ Data Contributor Jobs at Daisy Brand jobs

Daisy Brand
HRIS Analyst
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Daisy Brand
Added 2w ago
HRIS Analyst
Daisy Brand
Dallas, Texas
Human Resources
Compliance & Legal
Data Science & Analytics
Business Analysis
Hybrid
5+ yrs exp.
Bachelor's
501-1,000

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Daisy Brand
Quantitative Researcher
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Daisy Brand
Added 3w ago
Quantitative Researcher
Daisy Brand
Kansas City, Missouri
Data Science & Analytics
Data Science
Data Analytics
$165,000/yr - $185,000/yr
Hybrid
Bachelor's
501-1,000

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Daisy Brand
Senior Business Intelligence Developer
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Daisy Brand
Added 2mo ago
Senior Business Intelligence Developer
Daisy Brand
Dallas, Texas
Data Science
Data Engineering
Business Analysis
Hybrid
8+ yrs exp.
None

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Daisy Brand
Corporate Controls Engineer
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Daisy Brand
Added 3mo ago
Corporate Controls Engineer
Daisy Brand
Dallas, Texas
Specialized Engineering
Manufacturing Operations
Data Science & Analytics
Quality Assurance & Testing (QA Testing)
Engineering (Non-Software)
Hybrid
7+ yrs exp.
Bachelor's

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Daisy Brand
Senior BI Developer
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Daisy Brand
Added 3mo ago
Senior BI Developer
Daisy Brand
Dallas, Texas
Data Science & Analytics
Business Analysis
Business Operations
Hybrid
8+ yrs exp.
None
501-1,000

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Tips for Finding Data Contributor Jobs at Daisy Brand Jobs

Align your credentials with food manufacturing data

Daisy Brand operates in dairy manufacturing, so frame your data experience around supply chain, product lifecycle, or ERP systems common in CPG environments. Relevant coursework or project work with inventory or quality data systems strengthens your application materially.

Target Data Contributor openings early in each cycle

Daisy Brand posts Data Contributor roles with meaningful frequency. Set up job alerts for this specific title and apply within the first week of posting. Early applicants give the employer more time to initiate sponsorship paperwork, which matters for TN and H-1B timelines.

Confirm TN eligibility before your interview

If you hold Canadian or Mexican citizenship, TN status is a faster path than H-1B and doesn't require lottery selection. Verify that your degree classification maps cleanly to a qualifying TN category under USMCA before your first interview so you can raise it confidently.

Use Migrate Mate to filter for open Data Contributor roles

Searching broad job boards buries sponsorship-eligible roles in noise. Use Migrate Mate to filter Daisy Brand's Data Contributor openings by visa type so you're only spending time on positions where your work authorization will actually be considered.

Prepare your OPT or STEM OPT documentation proactively

If you're on F-1 OPT, bring your EAD card, I-20, and employer enrollment confirmation for E-Verify to your offer stage. Daisy Brand, like all H-1B-eligible employers, is required to use E-Verify, so delays in your end often stall onboarding more than delays on theirs.

Understand H-1B cap timing relative to your offer date

If you need cap-subject H-1B sponsorship, the USCIS registration window opens in March for an October 1 start date. An offer received outside that window means a potential wait of up to a year. Factor this into salary negotiations and your start date conversation with the hiring team.

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Frequently Asked Questions

Does Daisy Brand sponsor H-1B visas for Data Contributors?

Yes, Daisy Brand has sponsored H-1B visas for Data Contributor roles. Because H-1B sponsorship requires the employer to file a Labor Condition Application with the DOL and a petition with USCIS, it works best when you raise your sponsorship needs early in the process. Cap-subject H-1B petitions must be filed for an October 1 start, so timing your offer accordingly matters.

How do I apply for Data Contributor jobs at Daisy Brand?

You can find open Data Contributor positions at Daisy Brand through their careers page or by browsing Migrate Mate, which filters roles by visa sponsorship type. When applying, tailor your resume to reflect data management or product information systems experience relevant to food manufacturing. Clearly note your work authorization status so the recruiting team can assess sponsorship feasibility from the start.

Which visa types are commonly used for Data Contributor roles at Daisy Brand?

Daisy Brand has sponsored candidates through H-1B, F-1 OPT, and TN visa categories for data-oriented roles. F-1 OPT is typically the starting point for recent graduates, often extending to STEM OPT where the degree qualifies. TN is available to Canadian and Mexican nationals in eligible degree categories under USMCA and moves faster than H-1B with no lottery requirement.

What qualifications are expected for Data Contributor roles at Daisy Brand?

Daisy Brand typically looks for candidates with a background in data management, information systems, or a related technical field. Experience with ERP platforms, supply chain data, or product information management in a manufacturing or CPG environment is a practical differentiator. A bachelor's degree in a relevant field is generally the baseline for H-1B specialty occupation classification to hold.

How long does the visa sponsorship process take for a Data Contributor offer at Daisy Brand?

Timeline depends on visa type. TN status for Canadian nationals can be secured at the port of entry in a single day. H-1B regular processing runs roughly three to six months after USCIS accepts the petition, while premium processing reduces that to about 15 business days. OPT candidates can start immediately if their EAD is active and E-Verify enrollment is completed before day one.

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