636 Data Analysts jobs in Bangalore

We are looking for skilled Data Quality Analysts to join our team as consultants. In this role, you will be responsible for ensuring the integrity, accuracy, and consistency of data used across various business functions. You will collaborate with cross-functional teams to establish data quality metrics and processes, and identify areas for improvement in our data management practices.

• Experience: 4 to 6 years
• Location: Bangalore

Requirements

Key Responsibilities:

1. Develop and implement data quality assessment processes to analyze data across various databases and systems.

2. Design and maintain data quality metrics and dashboards to track data quality performance.

3. Identify and resolve data quality issues, ensuring corrective actions are taken to prevent future occurrences.

4. Collaborate with IT and business units to define data quality standards, policies, and procedures.

5. Conduct data profiling and data validation to assess the status of data quality and recommend necessary enhancements.

6. Create and update documentation related to data quality processes, methodologies, and supported systems.

7. Train and support staff in data quality practices and tools.

8. Participate in cross-functional teams to ensure data quality requirements are integrated into systems development and implementation.

Technical Skills:

- Strong knowledge of data analysis tools and techniques (SQL, Python, R, etc.)

- Experience with data quality tools (Informatica, Talend, etc.)

- Familiarity with data visualization tools (Tableau, Power BI, etc.)

- Knowledge of database systems (SQL Server, Oracle, MySQL, etc.)

- Experience with ETL processes and data warehousing concepts.

Required Qualifications:

1. Bachelor’s degree in Computer Science, Information Technology, or a related field.

2. A minimum of 4 years of experience in data quality analysis or a related field.

3. Proven ability to analyze large datasets and synthesize complex information.

4. Strong attention to detail and problem-solving skills.

5. Excellent verbal and written communication skills.

Benefits

Work with one of the Big 4's in India

Key Responsibilities:

• Analyze and interpret LC-MS data (primarily QTOF) for qualitative and semi-quantitative chemical characterization studies.
• Evaluate mass spectral data using a weight-of-evidence approach, including critical assessment of database matches, fragmentation patterns, isotopic distributions, and chromatographic behavior.
• Collaborate with technical analysts, chemists, and project managers to communicate findings, resolve discrepancies, and meet client expectations.
• Ensure data integrity and compliance with regulatory and accreditation standards (e.g., ISO 10993, ISO 17025, GLP).
• Document findings in established systems, supporting traceability and reporting.
• Contribute to method development and optimization by providing feedback on spectral data trends and anomalies.
• Support improvement of SOPs, templates, and data analysis workflows.
• Identify and troubleshoot potential prep or instrument-related issues affecting data integrity.
• Participate in continuous improvement initiatives and inter-laboratory collaborations.
• Other duties as assigned by management.

Additional Knowledge/ Qualifications:

• BS/B.Sc in Chemistry or a related field with 5+ years relevant experience, or MSc./PhD with 2+ years of relevant experience.
• Proficient in interpreting LC-MS/MS and chromatographic data.
• Experience working in a regulated environment (ISO 17025, ISO 10993, GLP/GMP).
• Familiarity with Microsoft Excel for data documentation and review.

Preferred Candidate:

• Background in organic chemistry, including functional group recognition and mass fragmentation behavior.
• Experience with extractables & leachables, particularly in a medical device or pharmaceutical context.
• Understanding of instrumental analysis workflows and solution preparation.
• Awareness of how sample prep or instrument anomalies affect data outcomes.
• Familiarity with relevant databases and software for compound identification.

Key Responsibilities:

• Interpret GC-MS data (primarily EI) for identification of unknowns using spectral deconvolution and comparison to library databases for chemical characterization studies.
• Evaluate spectral quality, match scores, and fragmentation patterns using a weight-of-evidence approach, including critical assessment of database matches.
• Apply knowledge of retention indices and chromatographic behavior to confirm compound identity.
• Collaborate with technical analysts, chemists, and project managers to communicate findings, resolve discrepancies, and meet client expectations.
• Ensure data integrity and compliance with regulatory and accreditation standards (e.g., ISO 10993, ISO 17025, GLP).
• Document findings in established systems, supporting traceability and reporting.
• Contribute to method development and optimization by providing feedback on spectral data trends and anomalies.
• Support improvement of SOPs, templates, and data analysis workflows.
• Identify and troubleshoot potential prep or instrument-related issues affecting data integrity.
• Participate in continuous improvement initiatives and inter-laboratory collaborations.
• Other duties as assigned by management.

Additional Knowledge/Qualifications:

• BS/B.Sc in Chemistry or a related field with 5+ years relevant experience, or MSc./PhD with 2+ years of relevant experience.
• Proficient in interpreting GC-MS and chromatographic data.
• Experience working in a regulated environment (ISO 17025, ISO 10993, GLP/GMP).
• Familiarity with Microsoft Excel for data documentation and review.

Preferred Candidate:

• Background in organic chemistry, including fragmentation patterns under EI/CI, volatility, retention index behavior.
• Experience with extractables & leachables, particularly in a medical device or pharmaceutical context.
• Understanding of instrumental analysis workflows and solution preparation.
• Awareness of how sample prep or instrument anomalies affect data outcomes.
• Familiarity with relevant databases and software for compound identification.

Key Responsibilities:

• Interpret GC-MS data (primarily EI) for identification of unknowns using spectral deconvolution and comparison to library databases for chemical characterization studies.
• Evaluate spectral quality, match scores, and fragmentation patterns using a weight-of-evidence approach, including critical assessment of database matches.
• Apply knowledge of retention indices and chromatographic behavior to confirm compound identity.
• Collaborate with technical analysts, chemists, and project managers to communicate findings, resolve discrepancies, and meet client expectations.
• Ensure data integrity and compliance with regulatory and accreditation standards (e.g., ISO 10993, ISO 17025, GLP).
• Document findings in established systems, supporting traceability and reporting.
• Contribute to method development and optimization by providing feedback on spectral data trends and anomalies.
• Support improvement of SOPs, templates, and data analysis workflows.
• Identify and troubleshoot potential prep or instrument-related issues affecting data integrity.
• Participate in continuous improvement initiatives and inter-laboratory collaborations.
• Other duties as assigned by management.

Additional Knowledge/Qualifications:

• BS/B.Sc in Chemistry or a related field with 5+ years relevant experience, or MSc./PhD with 2+ years of relevant experience.
• Proficient in interpreting GC-MS and chromatographic data.
• Experience working in a regulated environment (ISO 17025, ISO 10993, GLP/GMP).
• Familiarity with Microsoft Excel for data documentation and review.

Preferred Candidate:

• Background in organic chemistry, including fragmentation patterns under EI/CI, volatility, retention index behavior.
• Experience with extractables & leachables, particularly in a medical device or pharmaceutical context.
• Understanding of instrumental analysis workflows and solution preparation.
• Awareness of how sample prep or instrument anomalies affect data outcomes.
• Familiarity with relevant databases and software for compound identification.

Key Responsibilities:

• Interpret GC-MS data (primarily EI) for identification of unknowns using spectral deconvolution and comparison to library databases for chemical characterization studies.
• Evaluate spectral quality, match scores, and fragmentation patterns using a weight-of-evidence approach, including critical assessment of database matches.
• Apply knowledge of retention indices and chromatographic behavior to confirm compound identity.
• Collaborate with technical analysts, chemists, and project managers to communicate findings, resolve discrepancies, and meet client expectations.
• Ensure data integrity and compliance with regulatory and accreditation standards (e.g., ISO 10993, ISO 17025, GLP).
• Document findings in established systems, supporting traceability and reporting.
• Contribute to method development and optimization by providing feedback on spectral data trends and anomalies.
• Support improvement of SOPs, templates, and data analysis workflows.
• Identify and troubleshoot potential prep or instrument-related issues affecting data integrity.
• Participate in continuous improvement initiatives and inter-laboratory collaborations.
• Other duties as assigned by management.

Additional Knowledge/Qualifications:

• BS/B.Sc in Chemistry or a related field with 5+ years relevant experience, or MSc./PhD with 2+ years of relevant experience.
• Proficient in interpreting GC-MS and chromatographic data.
• Experience working in a regulated environment (ISO 17025, ISO 10993, GLP/GMP).
• Familiarity with Microsoft Excel for data documentation and review.

Preferred Candidate:

• Background in organic chemistry, including fragmentation patterns under EI/CI, volatility, retention index behavior.
• Experience with extractables & leachables, particularly in a medical device or pharmaceutical context.
• Understanding of instrumental analysis workflows and solution preparation.
• Awareness of how sample prep or instrument anomalies affect data outcomes.
• Familiarity with relevant databases and software for compound identification.

Key Responsibilities:

• Analyze and interpret LC-MS data (primarily QTOF) for qualitative and semi-quantitative chemical characterization studies.
• Evaluate mass spectral data using a weight-of-evidence approach, including critical assessment of database matches, fragmentation patterns, isotopic distributions, and chromatographic behavior.
• Collaborate with technical analysts, chemists, and project managers to communicate findings, resolve discrepancies, and meet client expectations.
• Ensure data integrity and compliance with regulatory and accreditation standards (e.g., ISO 10993, ISO 17025, GLP).
• Document findings in established systems, supporting traceability and reporting.
• Contribute to method development and optimization by providing feedback on spectral data trends and anomalies.
• Support improvement of SOPs, templates, and data analysis workflows.
• Identify and troubleshoot potential prep or instrument-related issues affecting data integrity.
• Participate in continuous improvement initiatives and inter-laboratory collaborations.
• Other duties as assigned by management.

Additional Knowledge/ Qualifications:

• BS/B.Sc in Chemistry or a related field with 5+ years relevant experience, or MSc./PhD with 2+ years of relevant experience.
• Proficient in interpreting LC-MS/MS and chromatographic data.
• Experience working in a regulated environment (ISO 17025, ISO 10993, GLP/GMP).
• Familiarity with Microsoft Excel for data documentation and review.

Preferred Candidate:

• Background in organic chemistry, including functional group recognition and mass fragmentation behavior.
• Experience with extractables & leachables, particularly in a medical device or pharmaceutical context.
• Understanding of instrumental analysis workflows and solution preparation.
• Awareness of how sample prep or instrument anomalies affect data outcomes.
• Familiarity with relevant databases and software for compound identification.

Key Responsibilities:

• Interpret GC-MS data (primarily EI) for identification of unknowns using spectral deconvolution and comparison to library databases for chemical characterization studies.
• Evaluate spectral quality, match scores, and fragmentation patterns using a weight-of-evidence approach, including critical assessment of database matches.
• Apply knowledge of retention indices and chromatographic behavior to confirm compound identity.
• Collaborate with technical analysts, chemists, and project managers to communicate findings, resolve discrepancies, and meet client expectations.
• Ensure data integrity and compliance with regulatory and accreditation standards (e.g., ISO 10993, ISO 17025, GLP).
• Document findings in established systems, supporting traceability and reporting.
• Contribute to method development and optimization by providing feedback on spectral data trends and anomalies.
• Support improvement of SOPs, templates, and data analysis workflows.
• Identify and troubleshoot potential prep or instrument-related issues affecting data integrity.
• Participate in continuous improvement initiatives and inter-laboratory collaborations.
• Other duties as assigned by management.

Additional Knowledge/Qualifications:

• BS/B.Sc in Chemistry or a related field with 5+ years relevant experience, or MSc./PhD with 2+ years of relevant experience.
• Proficient in interpreting GC-MS and chromatographic data.
• Experience working in a regulated environment (ISO 17025, ISO 10993, GLP/GMP).
• Familiarity with Microsoft Excel for data documentation and review.

Preferred Candidate:

• Background in organic chemistry, including fragmentation patterns under EI/CI, volatility, retention index behavior.
• Experience with extractables & leachables, particularly in a medical device or pharmaceutical context.
• Understanding of instrumental analysis workflows and solution preparation.
• Awareness of how sample prep or instrument anomalies affect data outcomes.
• Familiarity with relevant databases and software for compound identification.