Data Analytics Engineer Jobs at AbbVie with Visa Sponsorship
AbbVie hires Data Analytics Engineers to support its drug development and commercial operations pipeline, working across large-scale health data, real-world evidence, and enterprise analytics platforms. The company has a consistent track record of sponsoring work visas for this function, making it a practical target for international candidates in the data engineering space.
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Get Access To All JobsCompany Description
About AbbVie
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
Job Description
Come to work each day with an inclusive and collaborative business technology team. As a Senior Business Intelligence and Analytics Engineer in AbbVie Business Technology Solutions (BTS), you’ll have opportunities to contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better.
Responsibilities
- Foster strong relationships with key business stakeholders and clients with strong interpersonal communication and able to work with business and cross-functional teams to deliver and execute complex analytics projects.
- A successful candidate will bring analytics knowledge of best-in-class business intelligence practices, deep understanding of Data Modeling, Dimensional Modeling and Data warehouse.
- Help business stakeholders by providing actionable data insights, discovering trends and patterns, anomalies, outliers, and correlations to drive better business decisions.
- Design/Develop impactful and intuitive data visualizations to effectively communicate data findings.
- Develop mockups based on business requirements and curate data to scope out reporting needs.
- Strong knowledge of creating semantic models (involving complex logical attributes and KPI measures) adhering to metric governance standards.
- Establish and follow BI and Analytics best practices including peer review, code review, documentation, coding standards, data quality and ensure reproducibility and compliance.
- Serve as internal SME on BI platform and drive the self-service COE with office hours training.
- Establish data and metric governance around the curated datasets and metrics, and best practices.
- Conceive, design, engineer, and implement technology solutions by studying information needs; conferring with users; studying systems flow, data usage, and work processes; investigating problem areas; Demonstrate the ability to resolve key project hurdles and assumptions by effectively utilizing available information and technical expertise.
- Demonstrate high proficiency across a wide range of technologies and platforms related to design and development, programming languages, data integration, data warehousing, data analysis and visualization tools, data storage, network connectivity, and virtualization/cloud environments.
- As lead engineer, mentor and guide junior resources in architecting BI solutions and manage and prioritize multiple projects to meet priorities with efficient time management.
- Perform requirement lifecycle management, epic and story creation (Jira/Confluence), change management, functional testing, coordinating user acceptance testing and training.
Tools and skills you will use in this role:
- Advanced SQL
- BI and Data Visualization and Data Discovery tools like Power BI, Tableau
- Data Prep tools like Dataiku or similar tools like Alteryx, Tableau Data Prep
- Python, or R
- Cloud data warehouse Snowflake
- JIRA, Confluence and Agile project methodology
Qualifications
- Bachelor’s degree in computer science or related field with 7 years of relevant experience or master’s degree with 6 years of relevant experience; PhD with 2 years’ experience.
- Experience in requirements gathering, functional/technical documentation, stakeholder engagement, running user training sessions and building a power user business community.
- Able to work with business and cross-functional teams to deliver and execute complex analytics projects. Highly autonomous and productive in accomplishing the deliverables with minimal direction.
- Experience in BI and Analytics Architecture, Dimensional Modeling, Data Products, Data Visualization, Data discovery, building curated data sets, insight generation and advanced analytics.
- Hands-on working experience in writing complex SQL.
- Hands-on experience with BI and Data Visualization tools like Power BI, Tableau.
- Hands-on experience in Snowflake (stored procs, dynamic tables).
- Hands-on experience with Data Prep tools like Dataiku, dbt or Alteryx.
- Hands-on experience in CI/CD (dbt, azure repo, git).
- Experience in Python.
Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
- The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
- We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
- This job is eligible to participate in our short-term incentive programs.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html
Company Description
About AbbVie
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
Job Description
Come to work each day with an inclusive and collaborative business technology team. As a Senior Business Intelligence and Analytics Engineer in AbbVie Business Technology Solutions (BTS), you’ll have opportunities to contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better.
Responsibilities
- Foster strong relationships with key business stakeholders and clients with strong interpersonal communication and able to work with business and cross-functional teams to deliver and execute complex analytics projects.
- A successful candidate will bring analytics knowledge of best-in-class business intelligence practices, deep understanding of Data Modeling, Dimensional Modeling and Data warehouse.
- Help business stakeholders by providing actionable data insights, discovering trends and patterns, anomalies, outliers, and correlations to drive better business decisions.
- Design/Develop impactful and intuitive data visualizations to effectively communicate data findings.
- Develop mockups based on business requirements and curate data to scope out reporting needs.
- Strong knowledge of creating semantic models (involving complex logical attributes and KPI measures) adhering to metric governance standards.
- Establish and follow BI and Analytics best practices including peer review, code review, documentation, coding standards, data quality and ensure reproducibility and compliance.
- Serve as internal SME on BI platform and drive the self-service COE with office hours training.
- Establish data and metric governance around the curated datasets and metrics, and best practices.
- Conceive, design, engineer, and implement technology solutions by studying information needs; conferring with users; studying systems flow, data usage, and work processes; investigating problem areas; Demonstrate the ability to resolve key project hurdles and assumptions by effectively utilizing available information and technical expertise.
- Demonstrate high proficiency across a wide range of technologies and platforms related to design and development, programming languages, data integration, data warehousing, data analysis and visualization tools, data storage, network connectivity, and virtualization/cloud environments.
- As lead engineer, mentor and guide junior resources in architecting BI solutions and manage and prioritize multiple projects to meet priorities with efficient time management.
- Perform requirement lifecycle management, epic and story creation (Jira/Confluence), change management, functional testing, coordinating user acceptance testing and training.
Tools and skills you will use in this role:
- Advanced SQL
- BI and Data Visualization and Data Discovery tools like Power BI, Tableau
- Data Prep tools like Dataiku or similar tools like Alteryx, Tableau Data Prep
- Python, or R
- Cloud data warehouse Snowflake
- JIRA, Confluence and Agile project methodology
Qualifications
- Bachelor’s degree in computer science or related field with 7 years of relevant experience or master’s degree with 6 years of relevant experience; PhD with 2 years’ experience.
- Experience in requirements gathering, functional/technical documentation, stakeholder engagement, running user training sessions and building a power user business community.
- Able to work with business and cross-functional teams to deliver and execute complex analytics projects. Highly autonomous and productive in accomplishing the deliverables with minimal direction.
- Experience in BI and Analytics Architecture, Dimensional Modeling, Data Products, Data Visualization, Data discovery, building curated data sets, insight generation and advanced analytics.
- Hands-on working experience in writing complex SQL.
- Hands-on experience with BI and Data Visualization tools like Power BI, Tableau.
- Hands-on experience in Snowflake (stored procs, dynamic tables).
- Hands-on experience with Data Prep tools like Dataiku, dbt or Alteryx.
- Hands-on experience in CI/CD (dbt, azure repo, git).
- Experience in Python.
Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
- The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
- We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
- This job is eligible to participate in our short-term incentive programs.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html
See all 32+ Data Analytics Engineer at AbbVie jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analytics Engineer at AbbVie roles.
Get Access To All JobsTips for Finding Data Analytics Engineer Jobs at AbbVie Jobs
Build pharma-specific data portfolio projects
AbbVie's data engineering roles frequently involve clinical trial datasets, HEOR modeling, and commercial sales analytics. Before applying, build or document portfolio work that touches healthcare or life sciences data, even if from public sources like CMS or FDA datasets.
Target roles tied to real-world evidence
AbbVie's immunology and oncology pipelines drive heavy investment in real-world evidence platforms. Data Analytics Engineer postings aligned to these therapeutic areas tend to have dedicated headcount, which means more predictable sponsorship pathways than project-based openings.
Verify your OPT STEM extension eligibility early
Data Analytics Engineer roles at AbbVie typically fall under STEM-designated CIP codes. If you're on F-1 OPT, confirm your degree qualifies for the 24-month STEM extension before your initial OPT expires, so your authorization window aligns with AbbVie's H-1B filing cycle.
Align your application timing to the H-1B cap
AbbVie files H-1B cap registrations in March for an October 1 start. If you receive an offer outside that window, ask the recruiter whether cap-exempt status or an alternative like E-3 or TN applies to your situation before assuming you'll need to wait a full cycle.
Browse open Data Analytics Engineer roles on Migrate Mate
Filter by AbbVie on Migrate Mate to see which Data Analytics Engineer postings are currently active and which visa types are associated with the role. This helps you prioritize applications based on sponsorship fit before reaching out to recruiters.
Understand how PERM affects your green card timeline
AbbVie sponsors EB-2 and EB-3 Green Cards through the PERM labor certification process. DOL requires AbbVie to conduct a domestic recruitment audit before filing, so your green card clock typically starts six to twelve months after your H-1B approval.
Data Analytics Engineer at AbbVie jobs are hiring across the US. Find yours.
Find Data Analytics Engineer at AbbVie JobsFrequently Asked Questions
Does AbbVie sponsor H-1B visas for Data Analytics Engineers?
Yes, AbbVie sponsors H-1B visas for Data Analytics Engineers. The company files petitions through the standard cap process, with registrations submitted in March for an October 1 start date. If you're already on an H-1B with another employer, AbbVie can file an H-1B transfer, letting you start work as soon as USCIS receives the petition, without waiting for approval.
How do I apply for Data Analytics Engineer jobs at AbbVie?
Apply directly through AbbVie's careers portal, where Data Analytics Engineer roles are listed by business unit and location. Tailoring your resume to highlight data pipeline tools, cloud platforms like AWS or Azure, and any experience with healthcare or clinical data increases your chances of progressing. You can also browse current openings filtered by visa sponsorship eligibility on Migrate Mate before applying.
Which visa types does AbbVie commonly use for Data Analytics Engineer roles?
AbbVie uses H-1B, H-1B1 (for Chilean and Singaporean nationals), E-3 (for Australian citizens), TN (for Canadian and Mexican nationals), and F-1 OPT and CPT for students. For longer-term immigration, AbbVie supports EB-2 and EB-3 Green Card sponsorship through the DOL PERM labor certification process for qualifying Data Analytics Engineers.
What qualifications does AbbVie expect for Data Analytics Engineer positions?
AbbVie typically looks for a bachelor's or master's degree in computer science, data science, statistics, or a related quantitative field. Hands-on experience with SQL, Python, and cloud-based data warehousing platforms is standard. Roles tied to commercial analytics or real-world evidence may also require familiarity with pharma-specific data sources such as IQVIA, Symphony Health, or claims datasets.
How long does the visa sponsorship process take at AbbVie for this role?
For H-1B transfers from an existing employer, work authorization can begin within days of USCIS receiving the petition. For new H-1B cap filings, the process runs March through October, with a five-to-six-month gap between registration and start date. Green Card sponsorship through PERM is a separate, longer process that typically begins after you've established yourself in the role.
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