Specialist, Business Intelligence Architect

Regeneron Pharmaceuticals, Inc.

Hyderabad

Híbrido

INR 1.500.000 - 2.400.000

Jornada completa

hace 12 horas
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Descripción de la vacante

Regeneron Pharmaceuticals, Inc. seeks a Specialist Business Intelligence Architecture Analytics to join our Data, Tech, and Innovation function in a hybrid role in Hyderabad, India.

You will build data pipelines, develop analytics datasets, and support data products for Global Development initiatives. You will collaborate with BI Architecture, reporting, analytics, and downstream stakeholders, ensuring data quality, scalable solutions, and well-documented data workflows to drive actionable

Formación

  • Bachelor’s degree with 3+ years of relevant experience, or Master’s in Data Science, Analytics, CS, or related field.
  • Experience in data analytics, data engineering, BI, or related discipline.
  • Hands-on Snowflake experience for data engineering and analytics; Databricks preferred.
  • Proficiency in SQL and Python for data transformation and analysis.
  • Experience supporting Tableau dashboards and data visualizations.
  • Familiarity with cloud-based data platforms and tools.
  • Strong analytical and problem-solving skills with data interpretation.
  • Experience developing datasets for downstream AI/ML use cases preferred.
  • Knowledge of advanced analytics techniques, including ML and data mining.
  • Familiarity with clinical trial operational data preferred.
  • Strong communication to translate technical insights to business value.
  • Ability to work collaboratively in a fast-paced, detail-oriented team.

Responsabilidades

  • Build, refine, and maintain data pipelines and transformation workflows in Databricks and Snowflake using SQL and PySpark.
  • Develop, test, and support analytical data models and curated datasets for Global Development analytics initiatives and workflow migrations.
  • Implement reusable, well-structured code aligned with established development standards, naming conventions, and architecture patterns.
  • Create data products that support analytics, dashboarding, and AI/ML use cases.
  • Validate data accuracy and completeness through data quality checks, discrepancy analysis, and root cause investigation.
  • Prepare structured documentation for datasets, transformations, and business logic to support downstream reporting and analytics teams.
  • Collaborate with technical and business partners to deliver project outcomes.
  • Tackle complex data challenges with curiosity and high-quality execution.

Conocimientos

SQL
Python
Tableau
Analytical thinking
Data storytelling

Educación

Bachelor's degree in Data Science, Analytics, Computer Science
Master's degree in Data Science, Analytics, CS

Herramientas

Snowflake
Databricks

Descripción del empleo

Build Our Future Together

At Regeneron, we use science and innovation to develop life-changing medicines for people with serious diseases. We are seeking a Specialist Business Intelligence Architecture Analytics to join our Data, Tech, and Innovation function, supporting our Global Development analytics initiatives in a hybrid work model. In this role, you will build and maintain analytical datasets, data models, and data products while collaborating with Business Intelligence Architecture, reporting, analytics, and downstream stakeholder teams. This position offers the opportunity to contribute to a fast-growing, science-driven organization making a meaningful difference to patients worldwide.

When & Where

Location: Hyderabad, India (Hybrid)

Discover Your Role
  • Build, refine, and maintain data pipelines and transformation workflows in Databricks and Snowflake using SQL and PySpark.
  • Develop, test, and support analytical data models and curated datasets for Global Development analytics initiatives and workflow migrations.
  • Implement reusable, well-structured code aligned with established development standards, naming conventions, and architecture patterns.
  • Create data products that support analytics, dashboarding, and artificial intelligence/machine learning use cases.
  • Validate data accuracy and completeness through data quality checks, discrepancy analysis, and root cause investigation.
  • Prepare structured documentation for datasets, transformations, and business logic to support downstream reporting and analytics teams.
  • You bring a collaborative attitude and work effectively with technical and business partners to deliver project outcomes.
  • You approach complex data challenges with curiosity, attention to detail, and a commitment to high-quality execution.
This Role Requires
  • Bachelor’s degree with 3+ years of relevant experience, or Master’s degree in Data Science, Analytics, Computer Science, or a related field.
  • Experience in data analytics, data engineering, business intelligence, or a related discipline.
  • Hands‑on experience with Snowflake for data engineering and analytics workflows; experience with Databricks is preferred.
  • Proficiency in SQL and Python for data transformation, engineering, and analysis.
  • Experience supporting Tableau dashboards and data visualizations.
  • Familiarity with cloud-based data platforms and tools.
  • Strong analytical and problem‑solving skills with the ability to understand and interpret complex datasets.
  • Experience developing datasets for downstream artificial intelligence and machine learning use cases preferred.
  • Knowledge of advanced analytics techniques, including machine learning, statistical modeling, and data mining preferred.
  • Familiarity with clinical trial operational data preferred.
  • Strong communication skills with the ability to translate technical insights into business value.
  • Ability to work collaboratively in a team-oriented, fast-paced environment with strong attention to detail and commitment to delivering high-quality work.

Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship. Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other locations, additional information will be provided during the recruitment process. Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed on‑site. As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications. For jobs in Canada: this posting is for an existing position.

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