1 day ago

Data Analyst

Philips

On Site
Full Time
$120,000
Bengaluru, Karnataka, India

Job Overview

Job TitleData Analyst
Job TypeFull Time
Offered Salary$120,000
LocationBengaluru, Karnataka, India

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Job Description

Job Description: Data Analyst

As a Data Analyst at Philips, you will be instrumental in transforming complex and diverse datasets from multiple sources into actionable insights. Working under general supervision, you will inform strategic decision-making and drive business improvements across various departments. This role requires a keen eye for detail, strong analytical capabilities, and the ability to communicate findings effectively to key stakeholders.

Your Role

  • Analyzes complex and diverse datasets from multiple sources to uncover actionable insights that inform strategic decision-making and drive business improvements across various departments, working under general supervision.
  • Creates advanced data visualizations and comprehensive reports using tools like Power BI, Tableau, and Python to effectively communicate trends, patterns, and insights to senior management and key stakeholders.
  • Prepares detailed documentation of data analysis processes, methodologies, and outcomes, ensuring clarity, reproducibility, and adherence to industry best practices and internal standards within a limited level of autonomy.
  • Optimizes sophisticated data models, Extract, Transform, Load (ETL) processes, and databases, ensuring high performance, reliability, and scalability in data management practices.
  • Works with cross-functional teams, including Information Technology (IT), marketing, operations, and finance, to understand their data requirements, provide analytical support, and contribute to strategic initiatives and projects.
  • Ensures strict compliance with data privacy regulations such as the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA), as well as company policies, maintaining the highest standards of data privacy and security.
  • Conducts comprehensive data validation, cleansing, and verification processes using statistical methods and quality assurance techniques to maintain data accuracy, consistency, and integrity across multiple data sources.
  • Tracks key performance indicators (KPIs) and critical business metrics, providing regular updates, trend analyses, and actionable insights to management, supporting continuous improvement and performance optimization efforts.
  • Supports data-related audits and compliance checks by preparing and providing timely, accurate data, detailed documentation, and insightful analysis to internal and external auditors and regulatory bodies.
  • Executes cutting-edge data analysis methodologies and technologies, leveraging automation, machine learning, and artificial intelligence to enhance analytical capabilities, streamline processes, and drive significant business growth.

You're The Right Fit If

  • You have a Bachelor's Degree in Computer Science, Information Management, Data Science, Econometrics, Artificial Intelligence, Applied Mathematics, Statistics OR equivalent with min. 6 years of experience in Data Handling, Data Analytics, AI Modeling or equivalent.

About Philips

Philips is a health technology company built around the belief that every human matters. We are committed to ensuring everybody everywhere has access to the quality healthcare they deserve. Join us in doing the work of your life to help the lives of others. Discover our business, our rich history, and our purpose, and learn more about our culture of impact with care.

Key skills/competency

  • Data Analysis
  • Data Visualization
  • ETL Processes
  • Data Modeling
  • Power BI
  • Tableau
  • Python
  • SQL
  • Data Privacy (GDPR, HIPAA)
  • KPI Tracking

Tags:

Data Analyst
Data analysis
Data visualization
ETL
Data modeling
Reporting
Data validation
KPIs
Compliance
Machine learning
AI
Power BI
Tableau
Python
SQL
Databases
Statistical methods
Quality assurance
Automation

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How to Get Hired at Philips

  • Research Philips' culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Customize your resume: Highlight your experience in data analysis, visualization, ETL, and compliance tailored for the Data Analyst role.
  • Prepare for technical interviews: Showcase proficiency in Power BI, Tableau, Python, and data modeling techniques.
  • Demonstrate impact and care: Align your past achievements with Philips' purpose of improving lives through health technology.
  • Network effectively: Connect with current Philips employees on LinkedIn to gain insights and express your genuine interest.

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