Job Summary

The Software Engineer of Analytics Engineering provides hands-on technical support to help develop and maintain core data models and the core data layer, working closely with and under the guidance of senior team members. This role is ideal for an early-career engineer who is eager to build foundational skills in developing robust, scalable, and well-documented data models and pipelines, while supporting self-service analytics across the organization.

We are seeking a motivated Analytical Engineer with 1-3 years of experience to join our team. This role bridges the gap between data engineering and data analytics, focusing on transforming raw data into structured, business-ready datasets. The ideal candidate will support the design, development, and implementation of analytical workflows, helping ensure that data is clean, well-modeled, and optimized for business intelligence and decision-making. This role requires foundational technical skills in data transformation, modeling, and pipeline optimization (preferably using DBT). Additionally, a successful candidate is an effective communicator who is comfortable learning to explain technical information to a variety of stakeholders.

Key Responsibilities and Major Duties

- Collaborate with the business to gather requirements and deliver data-products to enable data-informed decision-making.
- As a member of the team, develop a centralized data-layer to deliver data-products at scale to the business.
- Use ELT framework to help transform raw or semi-structured data into a contextualized data model (preferably using DBT), supporting architectural solutions (preferably AWS) to drive efficiency.
- Partner with AI and ML teams to deliver the data skeleton for AI-enabled internal tools.
- Work within DBT to deliver documented, tested, and DRY ( don t-repeat-yourself ) code.
- Follow analytical lifecycle process and quality frameworks to deliver accurate data to internal consumers on-time.




- Focus on creative solutions to increase speed-to-delivery and accelerate business decision-making.
- Support gathering of business requirements, help track measurable outcomes, and assist in developing analytical product plans, learning to translate complexity for various stakeholders.

Qualifications / Degree / Certification / Licensure
- Computer Science, Physics, Math, Data Science, Pharmaceutical Science, or Engineering area of study preferred
- 1-3 years of experience in analytical engineering, data modeling, or a similar role
- Some hands-on experience with or exposure to dbt(Not mandatory)
- Proficiency with SQL, SPARK and Python
- Knowledge of data engineering tools (AWS, Airflow) and visualization tools (Tableau, Power BI, Looker)
- Experience with version control (e. g. Git, SVN) and Agile development
- Proven analytical and problem-solving ability
- Developing ability to gather requirements to understand business needs and support technical solutions
- Good communication and presentation skills, with a willingness to develop the ability to explain analyses and outcomes to both technical and non-technical stakeholders
- Familiarity with AI, ML, predictive modeling a plus
- Familiarity with our toolkit desired: work information process tools (JIRA, Confluence, ServiceNow, MS suites); data-related tools (Oracle, Redshift, PostgreSQL, CDP Impala, Athena)
- Eagerness to learn and grow within complex, cross-functional projects that involve collaborating with team members from various functions.

If you come across a role that intrigues you but doesn t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Software-Engineer--Analytical-Engineering (Hyderabad)
🏢 Bristol-Myers Squibb
📍 Hyderabad