Data Analytics Engineer Jobs at Tiger Analytics with Visa Sponsorship
Tiger Analytics hires Data Analytics Engineers to build and maintain data pipelines, reporting systems, and analytical infrastructure for enterprise clients across industries. The company actively sponsors work visas for this function, supporting candidates through the full process from F-1 OPT through H-1B and employment-based Green Card pathways.
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Get Access To All JobsINTRODUCTION
Tiger Analytics is looking for experienced Data Analyst to join our fast-growing advanced analytics consulting firm. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
ROLE AND RESPONSIBILITIES
We are looking for a Data Analyst with strong experience in Python, SQL, ETL processes, and AWS cloud technologies. The ideal candidate will have hands-on experience working with Ab Initio for ETL, building data pipelines, and performing data analysis to support business insights and decision-making. This role requires someone who is comfortable working with large datasets, transforming data, and collaborating with cross-functional teams in a fast-paced environment.
- Develop and maintain ETL pipelines using Ab Initio to process and transform large datasets.
- Write efficient SQL queries to extract, manipulate, and analyze data from multiple sources.
- Use Python for data processing, automation, and analytics.
- Work with AWS cloud services to manage and analyze data in cloud environments.
- Perform data validation, quality checks, and troubleshooting for data pipelines.
- Build reports, dashboards, and insights to support business decisions.
- Collaborate with data engineers, analysts, and business stakeholders to understand requirements.
- Ensure data accuracy, consistency, and governance across systems.
BASIC QUALIFICATIONS
- Strong programming experience in Python (Java acceptable).
- Hands-on experience with AWS cloud services.
- Experience building and supporting microservices architecture.
- Experience with Node.js for backend/API development.
- Exposure to Angular frontend framework.
- Strong understanding of REST APIs and distributed systems.
- Experience with CI/CD pipelines and DevOps practices.
REQUIREMENTS
- 5 years of experience in Data Analytics or Data Engineering roles.
- Strong experience with Ab Initio (ETL).
- Proficiency in Python for data analysis and scripting.
- Advanced SQL skills for querying and manipulating data.
- Hands-on experience with AWS Cloud services.
- Experience working with large datasets and data pipelines.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
BENEFITS
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and 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.
INTRODUCTION
Tiger Analytics is looking for experienced Data Analyst to join our fast-growing advanced analytics consulting firm. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
ROLE AND RESPONSIBILITIES
We are looking for a Data Analyst with strong experience in Python, SQL, ETL processes, and AWS cloud technologies. The ideal candidate will have hands-on experience working with Ab Initio for ETL, building data pipelines, and performing data analysis to support business insights and decision-making. This role requires someone who is comfortable working with large datasets, transforming data, and collaborating with cross-functional teams in a fast-paced environment.
- Develop and maintain ETL pipelines using Ab Initio to process and transform large datasets.
- Write efficient SQL queries to extract, manipulate, and analyze data from multiple sources.
- Use Python for data processing, automation, and analytics.
- Work with AWS cloud services to manage and analyze data in cloud environments.
- Perform data validation, quality checks, and troubleshooting for data pipelines.
- Build reports, dashboards, and insights to support business decisions.
- Collaborate with data engineers, analysts, and business stakeholders to understand requirements.
- Ensure data accuracy, consistency, and governance across systems.
BASIC QUALIFICATIONS
- Strong programming experience in Python (Java acceptable).
- Hands-on experience with AWS cloud services.
- Experience building and supporting microservices architecture.
- Experience with Node.js for backend/API development.
- Exposure to Angular frontend framework.
- Strong understanding of REST APIs and distributed systems.
- Experience with CI/CD pipelines and DevOps practices.
REQUIREMENTS
- 5 years of experience in Data Analytics or Data Engineering roles.
- Strong experience with Ab Initio (ETL).
- Proficiency in Python for data analysis and scripting.
- Advanced SQL skills for querying and manipulating data.
- Hands-on experience with AWS Cloud services.
- Experience working with large datasets and data pipelines.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
BENEFITS
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and 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 Data Analytics Engineer Jobs at Tiger Analytics Jobs
Align your portfolio to client-facing analytics work
Tiger Analytics staffs data engineers on client engagements across financial services, retail, and healthcare. Projects demonstrating pipeline architecture, dbt modeling, or cloud warehouse optimization on real business data are more compelling than academic or personal projects.
Start CPT or OPT authorization before your offer
If you're on F-1 status, confirm your Designated School Official approves CPT or activates OPT before your intended start date. Tiger Analytics hires on rolling timelines, so having authorization ready prevents offer delays caused by USCIS processing backlogs.
Target roles tied to long-term client contracts
H-1B sponsorship requires an employer to demonstrate a bona fide specialty occupation need. At a consulting firm like Tiger Analytics, roles attached to multi-year client engagements carry stronger sponsorship justification than short-term project placements when USCIS reviews the petition.
Clarify the LCA wage level during offer negotiation
DOL Labor Condition Applications classify workers at wage levels one through four. For Data Analytics Engineers, level two or three is common at consulting firms. Confirming which level your offer uses helps you verify the prevailing wage certification matches your actual responsibilities.
Track Tiger Analytics Data Analytics Engineer openings on Migrate Mate
New roles open frequently as client engagements scale up. Use Migrate Mate to filter Tiger Analytics Data Analytics Engineer listings by visa type so you apply only to sponsorship-confirmed postings and avoid wasting time on roles that exclude international candidates.
Prepare for a EB-2 or EB-3 PERM timeline early
Consulting firms that sponsor Green Cards typically begin PERM labor certification after you've held the role for one year. Gathering transcripts, degree evaluations for foreign credentials, and employment history documentation before that window opens keeps the process from stalling later.
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Find Data Analytics Engineer at Tiger Analytics JobsFrequently Asked Questions
Does Tiger Analytics sponsor H-1B visas for Data Analytics Engineers?
Yes, Tiger Analytics sponsors H-1B visas for Data Analytics Engineers. The company participates in the annual H-1B cap lottery and files petitions for qualifying candidates in specialty occupation roles. Because Tiger Analytics operates as a consulting firm, your petition will reference the specific client engagement and project scope to satisfy USCIS specialty occupation requirements for the role.
Which visa types does Tiger Analytics commonly use for Data Analytics Engineer roles?
Tiger Analytics sponsors H-1B visas as the primary work authorization path for Data Analytics Engineers. The company also hires candidates on F-1 OPT and CPT, which bridge status before H-1B approval. For candidates pursuing permanent residence, Tiger Analytics supports EB-2 and EB-3 Green Card pathways through PERM labor certification filed with the DOL after a qualifying employment period.
How do I apply for Data Analytics Engineer jobs at Tiger Analytics?
Browse current Data Analytics Engineer openings at Tiger Analytics on Migrate Mate, where listings are filtered to show roles that confirm visa sponsorship. When you apply, tailor your resume to reflect data pipeline development, SQL, cloud platforms, and any analytics tools relevant to the specific posting. Tiger Analytics typically screens for technical fit before moving to a multi-round interview process covering both technical and client-facing communication skills.
What qualifications and experience does Tiger Analytics expect for Data Analytics Engineers?
Tiger Analytics generally expects a bachelor's or master's degree in computer science, information systems, statistics, or a closely related field. For Data Analytics Engineers, hands-on experience with SQL, Python, cloud data warehouses such as Snowflake or BigQuery, and pipeline orchestration tools is expected. Consulting experience or a background working on cross-functional client projects strengthens your application, as engineers often work directly with enterprise stakeholders.
How do I time my application to align with the H-1B filing process at Tiger Analytics?
H-1B cap petitions are filed each April 1 for an October 1 start date, with USCIS lottery registration opening in mid-March. To be included, you need a signed offer and a completed I-129 petition before the registration window closes. If you're targeting Tiger Analytics for H-1B sponsorship, begin conversations with their recruiting team no later than January or February to allow time for internal approvals and LCA certification with the DOL before the registration deadline.
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