PS&Q Data Analyst
Philips is hiring a PS&Q Data Analyst in Bengaluru, India. Level rates it ; you can apply on Level.
Level's read on this job
- Level rates this data analyst role Uses AI ●●○○: an ordinary role that requires AI tools.
- Tools and skills the posting cites include Power Bi, SQL and Advanced Excel.
- Level files it as a senior role.
- Level lists 775 other open roles at Philips.
- The role was posted within the past week.
AI in this role
Analyze complex datasets, build dashboards, and implement automation using advanced analytics and machine learning techniques.
Job Title
PS&Q Data AnalystJob Description
Job Title : PS&Q Data Analyst
Job Responsibilities:
•Responds promptly to queries from various business units, offering expert guidance on data trends and providing in-depth insights on product or trend-specific concerns.
•Creates detailed and visually appealing reports and dashboards using tools such as Power BI to effectively communicate data insights and trends to stakeholders, enhancing their understanding of business performance.
•Identifies and implements opportunities for automation and process optimization by leveraging artificial intelligence, machine learning, and advanced analytics to enhance data processing, decision-making, and reporting efficiency, including the automated generation of advanced charts and graphs that improve the clarity and utility of data visualizations.
•Develops and optimizes algorithms to transform raw data into detailed statistical analyses, integrating data from diverse sources and performing feasibility checks to deliver technical solutions that drive informed decision-making and enhance business operations.
•Ensures data accuracy and exemplary quality standards in reports by implementing and following validation and verification protocols, documenting statistical-based trending procedures, and validating analysis processes in strict compliance with industry regulations and standards to ensure transparency and regulatory adherence.
•Ensures compliance with global data privacy regulations (such as GDPR and HIPAA) by designing and enforcing comprehensive data governance frameworks and security protocols.
Minimum required Education:
Bachelor's Degree in Information Management, Information Systems, Computer Science, Data Analytics or equivalent.
Minimum required Experience:
5-7 years of experience in areas such as Data Analytics, Data Modeling
Preferred Education:
Bachelor's Degree in Information Management, Information Systems, Computer Science, Data Analytics or equivalent.
Preferred Skills:
Data Analysis & Interpretation
Advanced Excel - mandatory
Data Harmonization & Processing
PMS experience preferable
Statistical Methods
Statistical Programming Software
Business Intelligence Tools
Data Mining
Machine Learning Engineering Fundamentals
Research & Analysis
Structured Query Language (SQL)
Regulatory Compliance
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.
How we rate this
PS&Q Data Analyst at Philips rates 50 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical data analyst job
- $112k
This posting doesn't list pay. Use the typical data analyst figure when pay comes up. See data analyst jobs
Questions you could be asked
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where data modeling was part of your work. What did you do?
- Tell me about a project where statistical analysis was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Analysis, Machine learning, Data Modeling, Statistical Analysis, and Automation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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