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Data Analyst at Philips — Bengaluru

Experience2–4 yrs
SalaryNot disclosed
Work modehybrid
Levelmid
Posted15 Sept 2026

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About Philips

Philips is hiring in Bengaluru in healthcare. This role looks for around 2+ years of experience.

Skills

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

The role

A data analyst at a healthcare technology company gathers and harmonizes operational data, applies statistical methods, and builds business intelligence dashboards for medical technology services. SQL and machine learning engineering fundamentals support data integrity, reporting automation, and integration across business systems.

Full job description

Job Summary

Job Title: Data Analyst

Responsibilities

Interacting with teams in market on providing Managed Services assessment, inventory and planning of replacement of medical technology and work with markets/customers to provide the automated operational reports Gathering data from various sources and compile into a useable format to analyze and present results

Designing and compiling reports and data dashboards based on specific instructional and department needs

Ensuring data is accurately and consistently maintained and pro-actively troubleshoot inconsistencies

Maintaining procedural knowledge of guidelines for data reporting as well as technical knowledge of the systems used

Performing database and application integration and interchanges between locally developed systems and vendor-supplied applications

Managing data loading and maintenance of data

Reporting tools and prepares accurate reports for staff

Continually improving internal data-integrity, system designs, business-logic rules and procedures for operational and business data

Requirements

exp 2-4 years in Data Analysis & Interpretation

Data Harmonization & Processing

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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.