Analytics Engineer Jobs at AbbVie with Visa Sponsorship
AbbVie hires Analytics Engineers to work across drug development pipelines, commercial data platforms, and real-world evidence programs. The company has a consistent record of sponsoring work visas for this function, supporting candidates from initial offer through long-term status including permanent residency pathways.
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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+ Analytics Engineer at AbbVie jobs
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Get Access To All JobsTips for Finding Analytics Engineer Jobs at AbbVie Jobs
Tailor your portfolio to pharma data
AbbVie's Analytics Engineer roles frequently involve clinical trial data, HEOR datasets, and commercial sales pipelines. Showcase projects where you've built or maintained data models in regulated or compliance-heavy environments, not just general SaaS or e-commerce contexts.
Target roles with PERM eligibility signals
AbbVie files PERM labor certifications for certain Analytics Engineer positions, which opens a Green Card pathway. When reviewing job postings, look for language about long-term career development or internal mobility, which often signals the company is open to sponsoring immigrant visa categories.
Align your degree field to the job description
H-1B specialty occupation approval depends on your degree matching the role. For Analytics Engineer positions at AbbVie, degrees in computer science, data science, biostatistics, or information systems carry the strongest alignment. A mismatched degree can trigger a USCIS Request for Evidence.
Engage recruiters before H-1B cap season
USCIS H-1B registrations open in March for an October 1 start. Targeting AbbVie roles in the fourth quarter of the prior year gives you time to clear interviews, receive an offer, and have your employer submit a registration before the window closes.
Confirm E-3 or TN eligibility with your recruiter early
If you're an Australian citizen, the E-3 avoids the H-1B lottery entirely and can be processed at a U.S. consulate in weeks. Canadian and Mexican nationals may qualify for TN status. Raise your citizenship at the offer stage so AbbVie's immigration team can route your petition correctly.
Use Migrate Mate to find open Analytics Engineer roles
AbbVie posts Analytics Engineer positions across multiple divisions, and not all are labeled identically. Use Migrate Mate to filter AbbVie openings by visa sponsorship type so you're applying to roles where your specific visa category is already supported.
Analytics Engineer at AbbVie jobs are hiring across the US. Find yours.
Find Analytics Engineer at AbbVie JobsFrequently Asked Questions
Does AbbVie sponsor H-1B visas for Analytics Engineers?
Yes, AbbVie sponsors H-1B visas for Analytics Engineer roles. The company works with immigration counsel to file H-1B petitions and has supported sponsorship across multiple visa categories for this function. If you're in the H-1B lottery pool on F-1 OPT, AbbVie can file your cap-subject petition for an October 1 start date, provided your OPT authorization covers the gap.
How do I apply for Analytics Engineer jobs at AbbVie?
Apply directly through AbbVie's careers portal at abbvie.com/careers. Search for Analytics Engineer by title and filter by location or business unit. You can also use Migrate Mate to browse AbbVie's open Analytics Engineer roles filtered by visa sponsorship type, which helps you identify positions already aligned to your status before you apply.
Which visa types does AbbVie commonly sponsor for Analytics Engineers?
AbbVie sponsors H-1B, H-1B1, E-3, and TN visas for Analytics Engineer roles, along with supporting F-1 OPT and CPT for students in active degree programs. For candidates seeking permanent residency, AbbVie has filed EB-2 and EB-3 petitions through the PERM labor certification process for this function, giving long-term pathway options beyond nonimmigrant status.
What qualifications does AbbVie expect for Analytics Engineer roles?
AbbVie Analytics Engineer roles typically require a bachelor's or master's degree in computer science, data science, biostatistics, or a related technical field. Hands-on experience with dbt, SQL, and cloud data platforms such as Snowflake or Azure is commonly expected. Familiarity with pharmaceutical or life sciences data, including clinical or commercial datasets, differentiates candidates in a competitive pool.
How long does the visa sponsorship process take at AbbVie for this role?
Timeline depends on visa type. E-3 and TN petitions can be completed in two to six weeks through consular processing. Cap-subject H-1B petitions follow USCIS's fixed calendar, with registration in March and an earliest start date of October 1. PERM labor certification for Green Card sponsorship typically takes 12 to 18 months before the I-140 immigrant petition stage begins.
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