Manager, Data Analytics
Thermo Fisher Scientific
Manager, Data Analytics
Job Description
Work Schedule
Standard (Mon-Fri)Environmental Conditions
OfficeJob Description
About the Role
Manager, Data Analytics at Thermo Fisher Scientific Inc. in Hyderabad. Work with top professionals in a growing environment to shape analytical strategies.
Key Responsibilities
- Lead and manage a team of data engineers and analysts to deliver outstanding analytical insights.
- Designing, implementing, and maintaining scalable data architectures and pipelines.
- Manage Data Platform operations to achieve near‑zero downtime (≥99.99% availability).
- Develop and maintain robust data models that strictly adhere to industry standards.
- Collaborate with cross-functional teams to identify and implement data-driven strategies.
- Ensure the accuracy and integrity of data through flawless data validation processes.
- Planning, prioritizing, and managing data engineering projects, ensuring timely delivery and adherence to quality standards.
- Provide actionable recommendations to optimize business performance using confirmed analytical methods.
Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- Strong technical background in data engineering, including experience with data warehousing, ETL processes, and big data technologies.
Prior experience with Informatica, Cognos, SQL Server, and Oracle is highly desirable. Expertise in data warehouse (DW) migration is critical.
- A minimum of 5 years of experience in data analytics or a related role.
- Proficient in SQL and have hands on development experience using Spark and Pandas.
- Demonstrated ability to lead teams and manage projects effectively.
- Proficiency in programming languages like Python or Java.
- Experience with cloud platforms (e.g., AWS, Azure, GCP).
- Knowledge of data modeling, data architecture, and data governance.
- Excellent leadership, communication, and interpersonal skills.
- Outstanding problem-solving skills and a keen attention to detail.
Why Join Us
At Thermo Fisher Scientific, you will have the chance to create a significant impact in a company that competes at the highest level. We are committed to encouraging an inclusive work environment where your outstanding insights and perspectives are valued. Embrace an ambitious career path with us and contribute to our mission of making the world healthier, cleaner, and safer. Apply today and start your story with us!
Locations
- Hyderabad, Andhra Pradesh, India
Salary
90,000 - 150,000 INR / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- data engineeringintermediate
- data warehousingintermediate
- ETL processesintermediate
- big data technologiesintermediate
- Informaticaintermediate
- Cognosintermediate
- SQL Serverintermediate
- Oracleintermediate
- data warehouse (DW) migrationintermediate
- SQLintermediate
- Sparkintermediate
- Pandasintermediate
- Pythonintermediate
- Javaintermediate
- cloud platforms (AWS, Azure, GCP)intermediate
- data modelingintermediate
- data architectureintermediate
- data governanceintermediate
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field (experience)
- minimum of 5 years of experience in data analytics or a related role (experience)
- Demonstrated ability to lead teams and manage projects effectively (experience)
Responsibilities
- Lead and manage a team of data engineers and analysts to deliver outstanding analytical insights
- Designing, implementing, and maintaining scalable data architectures and pipelines
- Manage Data Platform operations to achieve near-zero downtime (≥99.99% availability)
- Develop and maintain robust data models that strictly adhere to industry standards
- Collaborate with cross-functional teams to identify and implement data-driven strategies
- Ensure the accuracy and integrity of data through flawless data validation processes
- Planning, prioritizing, and managing data engineering projects
- Provide actionable recommendations to optimize business performance
Benefits
- general: Work with top professionals in a growing environment
- general: Inclusive work environment
- general: Ambitious career path
- general: Contribute to making the world healthier, cleaner, and safer
Answer 10 quick questions to check your fit for Manager, Data Analytics @ Thermo Fisher Scientific.
Related Books and Jobs
Manager, Data Analytics
Thermo Fisher Scientific
Manager, Data Analytics
Job Description
Work Schedule
Standard (Mon-Fri)Environmental Conditions
OfficeJob Description
About the Role
Manager, Data Analytics at Thermo Fisher Scientific Inc. in Hyderabad. Work with top professionals in a growing environment to shape analytical strategies.
Key Responsibilities
- Lead and manage a team of data engineers and analysts to deliver outstanding analytical insights.
- Designing, implementing, and maintaining scalable data architectures and pipelines.
- Manage Data Platform operations to achieve near‑zero downtime (≥99.99% availability).
- Develop and maintain robust data models that strictly adhere to industry standards.
- Collaborate with cross-functional teams to identify and implement data-driven strategies.
- Ensure the accuracy and integrity of data through flawless data validation processes.
- Planning, prioritizing, and managing data engineering projects, ensuring timely delivery and adherence to quality standards.
- Provide actionable recommendations to optimize business performance using confirmed analytical methods.
Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- Strong technical background in data engineering, including experience with data warehousing, ETL processes, and big data technologies.
Prior experience with Informatica, Cognos, SQL Server, and Oracle is highly desirable. Expertise in data warehouse (DW) migration is critical.
- A minimum of 5 years of experience in data analytics or a related role.
- Proficient in SQL and have hands on development experience using Spark and Pandas.
- Demonstrated ability to lead teams and manage projects effectively.
- Proficiency in programming languages like Python or Java.
- Experience with cloud platforms (e.g., AWS, Azure, GCP).
- Knowledge of data modeling, data architecture, and data governance.
- Excellent leadership, communication, and interpersonal skills.
- Outstanding problem-solving skills and a keen attention to detail.
Why Join Us
At Thermo Fisher Scientific, you will have the chance to create a significant impact in a company that competes at the highest level. We are committed to encouraging an inclusive work environment where your outstanding insights and perspectives are valued. Embrace an ambitious career path with us and contribute to our mission of making the world healthier, cleaner, and safer. Apply today and start your story with us!
Locations
- Hyderabad, Andhra Pradesh, India
Salary
90,000 - 150,000 INR / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- data engineeringintermediate
- data warehousingintermediate
- ETL processesintermediate
- big data technologiesintermediate
- Informaticaintermediate
- Cognosintermediate
- SQL Serverintermediate
- Oracleintermediate
- data warehouse (DW) migrationintermediate
- SQLintermediate
- Sparkintermediate
- Pandasintermediate
- Pythonintermediate
- Javaintermediate
- cloud platforms (AWS, Azure, GCP)intermediate
- data modelingintermediate
- data architectureintermediate
- data governanceintermediate
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field (experience)
- minimum of 5 years of experience in data analytics or a related role (experience)
- Demonstrated ability to lead teams and manage projects effectively (experience)
Responsibilities
- Lead and manage a team of data engineers and analysts to deliver outstanding analytical insights
- Designing, implementing, and maintaining scalable data architectures and pipelines
- Manage Data Platform operations to achieve near-zero downtime (≥99.99% availability)
- Develop and maintain robust data models that strictly adhere to industry standards
- Collaborate with cross-functional teams to identify and implement data-driven strategies
- Ensure the accuracy and integrity of data through flawless data validation processes
- Planning, prioritizing, and managing data engineering projects
- Provide actionable recommendations to optimize business performance
Benefits
- general: Work with top professionals in a growing environment
- general: Inclusive work environment
- general: Ambitious career path
- general: Contribute to making the world healthier, cleaner, and safer
Answer 10 quick questions to check your fit for Manager, Data Analytics @ Thermo Fisher Scientific.
Related Books and Jobs