Analytics Engineer III

Career Areas Career Stories Join Talent Community Candidate Login English English Italiano Español Français Português Norsk Deutsch 日本語 Bahasa melayu 中文 (简体) 中文 (繁體) 한국어 ภาษาไทย Nederlands Polski Yкраїнська Hrvatski Ελληνικά Magyar čeština Türkçe Pусский Haitian עברית Brazilian Português Dansk Suomi Svenska Français (Canada) Português (Portugal) Careers Home Life at BMS Career Areas Student Opportunities Events How We Recruit Career Stories Search this site Join Talent Community Candidate Login English English Italiano Español Français Português Norsk Deutsch 日本語 Bahasa melayu 中文 (简体) 中文 (繁體) 한국어 ภาษาไทย Nederlands Polski Yкраїнська Hrvatski Ελληνικά Magyar čeština Türkçe Pусский Haitian עברית Brazilian Português Dansk Suomi Svenska Français (Canada) Português (Portugal) Single PositionView All JobsAnalytics Engineer IIIHyderabad - TS - IN No longer accepting applications.Job IDR1600887Date posted03/29/2026DepartmentNot ApplicableSummary: The Analytics Engineer position is a specialized role within BIA Hyderabad. They will focus on applying advanced data engineering, machine learning and MLOps techniques to extract insights from complex data sets and drive data-driven decision-making processes. The Analytics Engineer will collaborate with cross-functional teams, conduct in-depth analysis, develop data models, and provide actionable recommendations to enhance business performance and drive innovation.​Roles & Responsibilities•Hands-on design, deployment, operations, maintenance of pipelines for data science related products and machine learning solutions, ensuring reliability, scalability, and maintainability.•Develop and maintain cutting-edge tools and frameworks empowering data scientists to work efficiently and effectively.•Develop a close working relationship with data science teams to facilitate and implement best practices relating to machine learning engineering, data engineering, and MLOps.•Collaborate with stakeholders to define project objectives, formulate data-driven hypotheses and identify KPIs for analysis•Collaborate with data scientists and IT teams to ensure data availability, quality, and reliability for analysis and modeling•Gather, pre-process and explore large-scale structured and unstructured data from diverse sources, including clinical trials, patient records and genetic data•Gather, preprocess and explore large-scale structured and unstructured data from diverse sources, including clinical trials, patient records and genetic data•Stay up-to-date with the latest methodologies and best practices in data engineering, machine learning, MLOps and the biopharma industry•Mentor and provide guidance to junior analytics engineers and actively participate in knowledge sharing and team development​Skills and competencies•Experience with building and deploying data science and data engineering solutions using established industry methods (MLOps, Git) to pharmaceutical related datasets is preferred •Proficiency in Databricks and AWS•Proficiency in programming languages such as Python or R for data manipulation, analysis and modeling•Familiarity with data visualization tools such as Tableau, Power BI or matplotlib/seaborn for effective communication of findings•Strong understanding of experimental design, hypothesis testing and A/B testing methodologies•Excellent problem-solving skills and the ability to think critically and creatively to tackle complex business challenges•Excellent communication and presentation skills to convey complex concepts to technical and non-technical stakeholders•Experience with cloud platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark) is a plus•Strong organizational and time management skills, with the ability to prioritize tasks and meet deadlines in a fast-paced environment​Experience•We welcome a master's or Ph.D. in a relevant fields such as Data Engineering, Statistics, Computer Science or a related discipline.•Proven experience (typically 5+ years) in a data...