Philips is hiring for an FRESHER entry level Data Analyst / Engineer role in India

Position:

Data Analyst / Engineer (HotDocs)

Company:

Philips

Location:

Bangalore, India

Job Type:

Full Time

Job Mode:

Hybrid

Job Requisition ID:

578333

Years of Experience:

0 to 3 Years

Company Description

About Philips

• Philips is a globally recognized health technology company focused on improving healthcare outcomes through technology driven innovation and intelligent healthcare solutions.

• The organization has been operating for more than 130 years and continues to build products and systems that support healthcare professionals, hospitals, clinics, and patients across the world.

• Headquartered in the Netherlands, Philips operates in more than 100 countries and serves millions of customers through advanced healthcare technologies and connected care systems.

• The company works across several healthcare segments including precision diagnosis, image guided therapy, monitoring systems, enterprise informatics, connected care, respiratory care, and personal health solutions.

• Philips strongly focuses on innovation that directly impacts patient care, operational efficiency, and healthcare accessibility.

• Employees at Philips work on solutions that aim to improve clinical workflows, enable intelligent decision making, and support better patient experiences.

• The organization encourages collaboration across business teams, engineering teams, operations groups, and analytics departments to deliver impactful healthcare products and services.

• Philips promotes a culture of inclusion, collaboration, learning, and innovation where employees are encouraged to contribute ideas and improve systems continuously.

• The company values diversity and equal opportunity and supports professionals from different educational, technical, and cultural backgrounds.

• Philips invests significantly in digital transformation, cloud technologies, analytics, artificial intelligence, and enterprise informatics to modernize healthcare systems globally.

• Teams within Philips often work on large scale healthcare data systems that require strong analytical thinking, process optimization, and modern business intelligence solutions.

• Employees are encouraged to learn new tools, adapt to evolving technologies, and participate in projects that create meaningful healthcare impact.

• The company supports flexible collaboration models and hybrid work structures for many office based teams.

• Philips emphasizes ethical innovation and aims to make healthcare more accessible, efficient, and patient focused through data driven decision making.

• Professionals joining Philips gain exposure to global operations, enterprise systems, cloud technologies, healthcare informatics, and business intelligence platforms.

• The organization also promotes continuous improvement methodologies such as LEAN and Kaizen to optimize operational processes and enhance business outcomes.

Profile Overview

Role Summary

• Philips is looking for a motivated and analytical professional for the role of Data Analyst / Engineer within the Imaging Informatics Customer Operations team.

• The role focuses on analyzing business and operational data, generating actionable insights, and supporting business intelligence initiatives across multiple platforms and systems.

• Candidates joining this position will work closely with data sources, dashboards, reporting systems, and analytics tools to support informed decision making.

• The selected candidate will contribute to the development and maintenance of reports, dashboards, and automated data solutions using tools such as Tableau, Power BI, QlikSense, and Tableau CRM.

• This role requires individuals who can collect, clean, organize, analyze, and interpret large datasets efficiently while maintaining strong attention to detail.

• The position also involves supporting document automation initiatives using platforms such as Mitratech HotDocs and managing template driven processes.

• Candidates will collaborate with IT teams, business stakeholders, product owners, and analytics professionals to understand business requirements and convert them into technical solutions and reporting structures.

• Professionals in this role are expected to work on Azure based data environments and support data sourcing, transformation, and ETL operations.

• The role includes responsibilities related to data quality monitoring, identifying trends and patterns, troubleshooting data related issues, and improving operational efficiency.

• Candidates should be comfortable working in dynamic environments with multiple stakeholders, tight timelines, and evolving project requirements.

• Strong communication skills are essential since the role requires presenting insights, discussing technical findings, and coordinating with internal teams.

• The position also provides exposure to cloud technologies, data engineering concepts, BI reporting systems, process automation, and healthcare informatics operations.

• Individuals with strong problem solving abilities, curiosity to learn new technologies, and interest in analytics driven business solutions will perform well in this role.

• The role offers an opportunity to work in a global healthcare technology environment while building expertise in analytics, reporting, automation, and cloud data platforms.

• Candidates who enjoy working with structured and unstructured data, optimizing business processes, and supporting enterprise reporting systems will find this role highly rewarding.

Key Responsibilities

Data Analysis and Reporting

• Perform detailed data analysis using information collected from multiple internal and external systems.

• Generate data samples, business reports, analytical summaries, and operational dashboards.

• Create ad hoc reports to support business decisions and project requirements.

• Analyze large datasets to identify patterns, inconsistencies, trends, and improvement opportunities.

• Interpret analytical findings and communicate meaningful insights to stakeholders and management teams.

• Support the preparation and delivery of business intelligence reports for operational and strategic teams.

• Ensure reporting accuracy, consistency, and reliability across business intelligence platforms.

• Assist teams in understanding data driven insights and performance metrics.

Dashboard and BI Support

• Work with Tableau CRM, Tableau, Power BI, and QlikSense dashboards and reporting systems.

• Support dashboard development, optimization, enhancement, and maintenance activities.

• Translate business requirements into technical reporting structures and user stories.

• Collaborate with business intelligence analysts and developers to improve reporting workflows.

• Participate in BI implementation initiatives and support front end analytics solutions.

• Customize existing dashboards and reporting structures based on evolving business requirements.

• Monitor dashboard performance and ensure timely data refresh and reporting consistency.

• Provide support for data visualization and analytics related initiatives.

Data Engineering and Azure Support

• Work with Azure based services for data sourcing and analytics operations.

• Support Azure SQL Database, Azure Data Factory, Azure Data Lake, Azure Automation, and Blob Storage implementations.

• Assist with ETL transformation processes using Azure Databricks and Python notebooks.

• Participate in data extraction, transformation, integration, and loading processes.

• Help maintain scalable and reliable data pipelines for reporting and analytics systems.

• Support cloud data environments and assist project teams during implementation phases.

• Contribute to improving data architecture and enterprise analytics workflows.

• Work with structured data repositories and relational database systems.

Document Automation Responsibilities

• Support document automation and template management activities using Mitratech HotDocs or similar platforms.

• Assist in maintaining automated document generation processes and workflows.

• Ensure templates and automated documents align with operational and reporting requirements.

• Participate in process optimization initiatives involving automation tools.

• Work closely with stakeholders to understand automation related business requirements.

• Support quality checks and validation processes for automated documentation systems.

Data Quality and Process Improvement

• Review reports, dashboards, and datasets to identify quality issues and inconsistencies.

• Clean and validate data to improve reliability and reporting accuracy.

• Develop monitoring processes for maintaining data integrity across systems.

• Assist in troubleshooting data loading and transformation issues.

• Identify operational inefficiencies and recommend process improvement opportunities.

• Utilize LEAN and Kaizen methodologies for continuous operational improvement initiatives.

• Support data governance activities and ensure alignment with reporting standards.

• Participate in root cause analysis for recurring data and reporting issues.

Collaboration and Stakeholder Management

• Collaborate with IT teams, analytics teams, product owners, and operational stakeholders.

• Participate in project discussions related to scope, risks, timelines, and deliverables.

• Provide updates regarding reporting progress, technical issues, and implementation activities.

• Work effectively in cross functional environments with global teams.

• Support communication between technical and non technical stakeholders.

• Contribute to project planning and execution activities.

• Coordinate with internal teams to ensure smooth delivery of analytics and reporting initiatives.

Qualifications

Educational Background

• Bachelor’s degree is required for this role.

• Candidates from computer science, information technology, business analytics, engineering, mathematics, or related fields are preferred.

• Educational exposure to analytics, databases, programming, statistics, or cloud technologies will be beneficial.

• Candidates with certifications or additional training in analytics or cloud platforms may have an added advantage.

Technical Skills

• Strong understanding of data analysis, reporting, and business intelligence concepts.

• Hands on experience with Power BI, Tableau, QlikSense, or similar visualization tools is preferred.

• Familiarity with SQL and relational database concepts is expected.

• Knowledge of Python programming for analytics and ETL processes is important.

• Understanding of Azure cloud services including Azure SQL Database, Azure Data Factory, Azure Data Lake, and Azure Automation is desirable.

• Experience with Azure Databricks and ETL transformation processes will be valuable.

• Exposure to document automation tools such as Mitratech HotDocs is preferred.

• Working knowledge of data warehousing and enterprise reporting systems is beneficial.

• Familiarity with Microsoft Office applications including Excel, PowerPoint, Outlook, and Word is expected.

• Understanding of data quality validation and reporting processes is important.

Analytical and Problem Solving Skills

• Strong analytical mindset with the ability to interpret large volumes of data.

• Ability to identify patterns, trends, anomalies, and business insights.

• Strong quantitative reasoning and logical thinking capabilities.

• Ability to troubleshoot reporting issues and optimize workflows.

• Comfortable working with complex datasets and multiple data sources.

• Strong attention to detail and commitment to data accuracy.

Communication and Collaboration Skills

• Excellent written and verbal communication skills in English.

• Ability to present technical and analytical findings clearly.

• Comfortable interacting with business stakeholders and technical teams.

• Ability to work collaboratively within cross functional environments.

• Strong interpersonal skills and professional communication abilities.

• Ability to manage multiple priorities and deliver within deadlines.

Professional Attributes

• Self motivated and eager to learn new technologies and tools.

• Strong organizational and time management skills.

• Ability to adapt quickly in fast paced work environments.

• Comfortable working independently and within distributed teams.

• Willingness to support business operations across different time zones.

• Flexible mindset with a focus on continuous improvement and innovation.

Additional Info

Work Environment

• This role is part of Philips Imaging Informatics Customer Operations team.

• Employees in this role will work in a collaborative and analytics driven business environment.

• The position follows a hybrid work structure where employees are expected to work from office for a few days every week.

• Candidates may occasionally collaborate with global stakeholders across different regions and time zones.

• Some work schedules may align with US East Coast or Central time operations.

Career Growth Opportunities

• The role provides strong exposure to cloud analytics platforms, enterprise reporting systems, and healthcare informatics technologies.

• Candidates will gain experience working on large scale operational data systems and business intelligence initiatives.

• Employees can strengthen their expertise in Azure technologies, ETL operations, dashboard development, and data engineering concepts.

• Professionals will also gain exposure to process improvement methodologies and automation platforms.

• The role offers opportunities to collaborate with experienced analytics professionals and technical experts in a global organization.

Preferred Candidate Traits

• Candidates who are curious, analytical, and detail oriented will perform well in this position.

• Professionals who enjoy solving operational problems using data driven approaches are highly suited for this role.

• Individuals who can balance technical responsibilities with stakeholder communication will have an advantage.

• Candidates with strong adaptability and willingness to learn modern technologies are encouraged to apply.

• Team oriented individuals with collaborative working styles are preferred.

Why Join Philips

• Philips offers an opportunity to work for a globally respected healthcare technology organization.

• Employees contribute to meaningful healthcare innovations that impact patient care and healthcare systems worldwide.

• The company promotes continuous learning, innovation, collaboration, and inclusion.

• Professionals can work on modern cloud technologies, enterprise analytics systems, and healthcare informatics platforms.

• Employees receive opportunities to grow technically and professionally while contributing to impactful projects.

• The organization values diversity, equal opportunity, and employee wellbeing.

• Philips encourages professionals with potential and learning mindset to apply even if they do not meet every requirement listed in the job description.

Please click here to apply.