Data Analyst

Job Description

JOB TITLE: Data Analyst
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Job Responsibilities:
u2022 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.
u2022 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.
u2022 Develops and implements robust data storage architectures, ETL processes, and data cleansing methodologies to ensure data accuracy, integrity, and accessibility across enterprise systems.

u2022 Ability to deliver large programs, vendor management experience in addition to project management.
u2022 Collaborates closely with senior management and cross-functional teams to prioritize and execute data analytics projects aligned with organizational objectives and strategic initiatives.
u2022 Consults on data architecture design and optimization, providing expertise in data management, storage solutions, and scalability to enhance overall system performance.
u2022 Ensures adherence to global data privacy regulations (e.g., GDPR, HIPAA) through rigorous data governance practices and security protocols in all data analytics initiatives.
u2022 Conducts in-depth statistical analyses and trending procedures, documenting methodologies and findings to support regulatory compliance and business transparency.
u2022 Provides technical guidance during regulatory audits, explaining statistical rationale and data validation processes to ensure compliance and maintain data integrity through all analytical operations.
u2022 Drafts proposals for new analytics initiatives, evaluating business opportunities and recommending data-driven strategies to optimize processes and drive continuous improvement.
u2022 Supports operational decision-making by assessing insights and analytics solutions, identifying opportunities for optimization, and implementing enhancements to achieve business objectives.

u2022 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:
u2022 Data Analysis & Interpretation
u2022 Data Harmonization & Processing
u2022 Data Modeling
u2022 Data Quality Assurance
u2022 Statistical Methods
u2022 Statistical Programming Software
u2022 Business Intelligence Tools
u2022 Data Mining
u2022 Machine Learning Engineering Fundamentals
u2022 Research & Analysis
u2022 Structured Query Language (SQL)
u2022 Regulatory Compliance

u2022 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 companyu2019s facilities.
Field roles are most effectively done outside of the companyu2019s main facilities, generally at the customersu2019 or suppliersu2019 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.
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If youu2019re 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 .