Job TitleData Analyst
JOB TITLE: Data Analyst
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.
- Ability to deliver large programs, vendor management experience in addition to project management.
- 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 data 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.
- Able to seamlessly take up role of operations as desired.
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 Required Certification
Having Data Science and Gen AI certifications is desirable .
Preferred Experience
minimum 8 years in Data engineering, 2 years in data science and gen AI technologies
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
How We Work Together
We believe that we are better together than apart. 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.
- Learn more about our business.
- Discover our rich and exciting history.
- Learn more about our purpose.
If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.
