Data Analyst at Philips | Apply Now

Philips; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Philips in Bengaluru is looking for a Data Engineer with at least 8 years of experience in data engineering and data science. The role involves analyzing complex datasets, implementing data storage architectures, and ensuring data privacy compliance.

Candidates should hold a Bachelor’s or Master’s degree in a relevant field. Preferred skills include expertise in SQL, statistical methods, and business intelligence tools. This position offers opportunities for growth and collaboration within cross-functional teams.

Qualifications

• Minimum 8 years of experience with Bachelor's or no prior experience required with Master’s Degree.
• Experience in Data Engineering, 2 years in Data Science and Gen AI technologies.
• Certifications in Data Science and Gen AI are desirable.

Responsibilities

• Analyze complex datasets using SQL and machine learning techniques.
• Create data visualizations to forecast trends for decision-making.
• Develop robust data storage architectures and ETL processes.
• Collaborate with teams to prioritize and execute data analytics projects.
• Ensure compliance with global data privacy regulations.

Skills

Data Analysis & Interpretation

Data Harmonization & Processing

Data Modeling

Data Quality Assurance

Statistical Methods

Machine Learning Engineering Fundamentals

Structured Query Language (SQL)

Research & Analysis

Education

Bachelor’s / Master’s Degree in Information Management or related field

Tools

PowerBI

Qlik

Python

R

Tableau

Job description

Job Responsibilities

• Handles analysis of complex datasets using SQL, Databricks, statistical methods and machine learning techniques to uncover deep insights that inform strategic business decisions and operational efficiencies.
• Creates data visualizations, utilizing tools like PowerBI, Qlik, Python, R, and Tableau, to forecast trends, patterns, and anomalies for proactive decision‑making, working under limited supervision.
• Develops and implements robust data storage architectures, ETL processes, and data‑cleansing methodologies to ensure data accuracy, integrity, and accessibility across enterprise systems.
• Delivers large‑scale programs, manages vendors, and provides project‑management oversight.
• Collaborates closely with senior management and cross‑functional teams to prioritize and execute data analytics projects aligned with organizational objectives and strategic initiatives.
• Consults on data architecture design and optimization, providing expertise in data management, storage solutions, and scalability to enhance overall system performance.
• Ensures adherence to global data privacy regulations (e.g., GDPR, HIPAA) through rigorous data‑governance practices and security protocols in all analytics initiatives.
• Conducts in‑depth statistical analyses and trending procedures, documenting methodologies and findings to support regulatory compliance and business transparency.
• Provides technical guidance during regulatory audits, explaining statistical rationale and data‑validation processes to ensure compliance and maintain data integrity through all analytical operations.
• Drafts proposals for new analytics initiatives, evaluating business opportunities and recommending data‑driven strategies to optimize processes and drive continuous improvement.
• Supports operational decision‑making by assessing insights and analytics solutions, identifying opportunities for optimization, and implementing enhancements to achieve business objectives.

Minimum Required Education

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 in areas such as Computer Science, Data Analytics, Data Modeling or equivalent OR no prior experience required with Master’s Degree.

Minimum 8 years in Data Engineering, 2 years in Data Science and Gen AI technologies.

Minimum Required Certification

Having Data Science and Gen AI certifications is desirable.

Preferred Skills

• Data Analysis & Interpretation
• Data Harmonization & Processing
• Data Modeling
• Data Quality Assurance
• Statistical Methods
• Statistical Programming Software
• Business Intelligence Tools
• Data Mining
• Machine Learning Engineering Fundamentals
• Research & Analysis
• Structured Query Language (SQL)
• Regulatory Compliance
• Gen AI