Job Title Data Analyst I

Analyzes complex and large-scale datasets using advanced statistical modeling, machine learning algorithms, and predictive analytics to derive deep insights and actionable recommendations that drive strategic business decisions.

Implements strategic data policies and frameworks, contributes to the overall functional data policy/strategy with a long term scope, defining and applying advanced methods, techniques, and evaluation criteria to ensure rigorous analysis, data integrity, and optimal business outcomes, working independently.

Acts as a recognized subject matter expert (SME) in electronic Quality Management Systems (QMS), providing authoritative guidance and technical leadership in data governance, storage architectures, and advanced data mining techniques.

Facilitates seamless alignment of data warehouse capabilities with central analytic requirements, overseeing integration efforts to ensure unified data governance and enable advanced analytics across enterprise systems.

Provides expert counsel on data privacy and regulatory compliance, ensuring adherence to global standards (e.g., GDPR, HIPAA) and company policies in handling confidential or Protected Health Information (PHI).

Assesses and interprets data trends, performance metrics, and KPIs, collaborating closely with senior management to provide strategic insights and actionable recommendations that drive continuous improvement and business growth.

Documents and maintains comprehensive documentation of statistical-based trending procedures, validation analyses, and data methodologies, ensuring transparency, compliance, and audit readiness.

Develops and delivers advanced training programs and workshops on cutting-edge data analytics techniques, empowering teams to leverage sophisticated analytics tools and methodologies effectively.





Participates in strategic initiatives to innovate and optimize Insights & Analytics Services, developing and implementing operational processes and capabilities to enhance organizational competitiveness and performance and influences the budget of the team.

Stays abreast of market trends, competitive landscapes, and technological advancements in data analytics, demonstrating a deep understanding of Philips' business interests and effectively representing Philips externally on related topics.

Bachelor's / Master's Degree in Information Management, Information Systems, Computer Science, Data Analytics or equivalent.

Minimum required Experience:

Minimum 8 years of experience with Bachelor's OR Minimum 6 years of experience with Master's in areas such as Data Analytics, Data Modeling or equivalent.

Data Analysis & Interpretation

Data Designing

Data Harmonization & Processing

Data Modeling

Data Quality Assurance

Statistical Programming Software

Business Intelligence Tools

Data Warehousing (DW)

Data Mining

Machine Learning Engineering Fundamentals

Research & Analysis

Structured Query Language (SQL)

Regulatory Compliance

For our office-based teams, this means working in-person at least 3 days per week.

Onsite roles require full time presence in the company’s facilities.

Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.

Indicate if this role is an office/field/onsite role.

About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.

If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply.

📌 Data Analyst-Informatics (Bengaluru)
🏢 Philips
📍 Bengaluru