PS&Q Data Analyst

Posted 2 Days Ago
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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Healthtech • Telehealth
The Role
Analyzes and interprets data, responds to business-unit queries, and develops Power BI reports and dashboards. Builds statistical analyses and algorithms from diverse data sources, improves reporting through automation and machine learning, and validates data quality and trending procedures. Maintains compliance with industry standards, GDPR, HIPAA, and data governance requirements while delivering insights that support business decisions.
Summary Generated by Built In
Job TitlePS&Q Data Analyst

Job 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.

Skills Required

  • Bachelor's degree in Information Management, Information Systems, Computer Science, Data Analytics, or equivalent
  • 5-7 years of experience in data analytics or data modeling
  • Data analysis and interpretation
  • Advanced Excel
  • Data harmonization and processing
  • PMS experience
  • Statistical methods
  • Statistical programming software
  • Business intelligence tools
  • Data mining
  • Machine learning engineering fundamentals
  • Research and analysis
  • Structured Query Language SQL
  • Regulatory compliance

Philips Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Philips and has not been reviewed or approved by Philips.

  • Retirement Support Retirement support is positioned as a standout, including a strong 401(k) match (often described at 7%) alongside pensions in some contexts.
  • Flexible Benefits Flexible benefits are emphasized through choice in health insurance options and a broad “Total Rewards” approach that combines compensation, health and wellness, and work-life support.
  • Leave & Time Off Breadth Leave and time off breadth appears strong, with generous paid time off and policies covering parental leave, caregiving responsibilities, volunteering, and family medical leave.

Philips Insights

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The Company
HQ: Cambridge, MA
80,000 Employees
Year Founded: 1891

What We Do

Do the work of your life to help the lives of others. As a leading health technology company, it is our purpose to improve people’s health and well-being through meaningful innovation. Our goal is to improve 2.5 billion lives per year by 2030. ​ ​ We also strive to be the best place to work for people who share our passion, by promoting personal development, inclusion and diversity while acting responsibly towards our planet and society.

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