Product Engineer Jobs at Tiger Analytics with Visa Sponsorship
Product Engineer jobs at Tiger Analytics involve building data-driven products at the intersection of analytics and software. The company has a consistent track record of sponsoring work visas for this function, supporting candidates across multiple visa categories from OPT through permanent residence.
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INTRODUCTION
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
We are seeking a Senior Manager / Associate Director with a strong Life Sciences background and hands-on commercial analytics experience to launch Commercial Data Product to support an upcoming pharma launch. This role will lead a small, dedicated pod to design and build a Snowflake-native, Power BI–aligned data product from the ground up. The position gives an opportunity to focus on data product ownership, metric design, and stakeholder alignment. The candidate should have strong experience and domain knowledge in gene therapy, with exposure to relevant processes, workflows, and industry applications.
KEY RESPONSIBILITIES
- Partner with Life Sciences stakeholders to understand business requirements and translate them into analytical solutions
- Own the end-to-end commercial data product for a kidney launch, from vision to execution
- Translate launch strategy into segmentation frameworks, KPIs, and data products used by commercial leadership
- Drive stakeholder alignment across Marketing, Sales, Market Access, and Analytics
- Own and prioritize the product backlog, ensuring alignment with launch milestones
- Partner with the engineering team to design Snowflake-native data models optimized for scalability and reuse
- Ensure strong Power BI semantic model understanding (measures, relationships, performance)
- Enable self-service analytics through well-designed datasets—not dashboards alone
- Establish KPI governance, adoption tracking, and success metrics for the product
- Lead a small cross-functional pod (data engineers, analysts)
- Operate in an agile delivery model with clear sprint outcomes and executive visibility
- Act as the primary interface between business stakeholders and the technical team
REQUIREMENTS
- 12+ years in commercial analytics, data product management, or analytics consulting within pharma/life sciences
- Strong experience and domain knowledge in gene therapy, with exposure to relevant processes, workflows, and industry applications
- Strong experience with pharma launches, including segmentation, performance tracking, and KPI design
- Hands-on understanding of Snowflake (data modeling, performance considerations)
- Strong Power BI semantic layer knowledge along with visualization
- Proven experience owning product backlogs and driving roadmap execution
- Ability to operate independently in greenfield / build-from-scratch environments
BENEFITS
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
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Get Access To All JobsTips for Finding Product Engineer Jobs at Tiger Analytics
Align your portfolio to analytics product work
Tiger Analytics builds products around data pipelines, ML platforms, and analytics tooling. Before applying, restructure your portfolio to surface projects involving data-intensive systems, not just general software engineering. Reviewers are screening for that overlap specifically.
Confirm your OPT timeline before interviewing
If you're on F-1 OPT, calculate your remaining authorization window before your first screen. Tiger Analytics sponsors CPT and OPT, but H-1B cap filing happens in April with an October start, so a gap between OPT expiry and H-1B activation is a real risk to plan around.
Target product-facing engineering roles directly
Tiger Analytics posts Product Engineer roles separately from data engineering or consulting tracks. Search their careers page using those exact terms. Applying to a mismatched role and hoping to transfer internally adds friction to the sponsorship conversation before it even starts.
Ask about the LCA process during offer negotiation
Before signing, ask your recruiter whether the Labor Condition Application has been filed with DOL for your specific work location. LCA certification must precede your H-1B petition, and location changes after filing can require a new LCA, which delays your start date.
Use Migrate Mate to filter verified sponsoring employers
Searching broadly for Product Engineer roles wastes time on companies with no sponsorship history. Filter to confirmed sponsors using Migrate Mate, which surfaces Tiger Analytics and similar analytics-focused technology employers who have actively sponsored this role category.
Understand how PERM affects your long-term status
Tiger Analytics sponsors EB-2 and EB-3 Green Cards, which require PERM labor certification through DOL before the immigrant petition stage. If you're from India or China, priority date backlogs mean you should ask about PERM initiation timelines during the offer stage, not after you've started.
Frequently Asked Questions
Does Tiger Analytics sponsor H-1B visas for Product Engineers?
Yes, Tiger Analytics sponsors H-1B visas for Product Engineers. The company has a consistent history of filing H-1B petitions for this role category. If you're currently on F-1 OPT, Tiger Analytics can also support you through the OPT period while the H-1B visa petition is prepared for the annual cap filing window, which opens in April for an October 1 start.
How do I apply for Product Engineer jobs at Tiger Analytics?
Apply directly through Tiger Analytics's careers page, searching for Product Engineer specifically rather than broader engineering titles. You can also browse and filter open Product Engineer roles at Tiger Analytics by visa type on Migrate Mate, which lets you confirm sponsorship eligibility before you invest time in the application process. Tailor your application to highlight data product and analytics engineering experience.
Which visa types does Tiger Analytics commonly use for Product Engineers?
Tiger Analytics sponsors H-1B, TN visa, F-1 OPT, and F-1 CPT for Product Engineers at the nonimmigrant stage. For permanent residence, the company supports EB-2 and EB-3 pathways, which require PERM labor certification through DOL before the immigrant petition can be filed. TN visa is available for Canadian and Mexican nationals in qualifying specialty occupations.
What qualifications does Tiger Analytics expect for Product Engineer roles?
Tiger Analytics Product Engineer roles typically require a background in software engineering combined with exposure to data systems, analytics infrastructure, or ML product development. Relevant experience with data pipelines, API design, or product instrumentation is weighted heavily. Candidates coming from pure frontend or backend roles without a data or analytics component may find the specialty occupation framing harder to satisfy for H-1B purposes.
How do I understand the visa filing timeline for a Product Engineer offer at Tiger Analytics?
For H-1B, USCIS opens registration in March and cap-subject petitions are filed in April for an October 1 start date. If your OPT expires before October 1, your offer letter should address the gap period. For TN, processing is faster and doesn't follow a cap cycle. EB-2 and EB-3 Green Card timelines depend on PERM completion and your priority date, which can span several years for high-demand nationality groups.