Assistant Manager - Analytics
Actively Reviewing the ApplicationsPhilips
India, Tamil Nadu, Chennai
Full-Time
On-site
Posted 3 weeks ago
•
Apply by June 16, 2026
Job Description
Job Title
Assistant Manager - Analytics
Job Description
Work Location: Chennai
Your Role
High School Diploma, Vocational Education/ Bachelor's Degree in Information Management, Information Systems, Computer Science, Data Analytics or equivalent.
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.
Assistant Manager - Analytics
Job Description
Work Location: Chennai
Your Role
- Provides technical support to Philips Finance Analytics, working with management to provide relevant, timely and accurate insights.
- Develops and implements (changes to) scripts, ensuring reliability with beta testing with the Finance team before go-live.
- Resolves issues with other teams in the Philips IT Platform community and aligns on the IT roadmap to ensure business continuity.
- Supports the monthly financial close activities of Philips Finance Analytics.
- Deals with a large amount of confidential information from various sources in Philips.
- Manages user access for the Philips Finance Analytics team and other users.
- Graduate with 2+ years in analytics and business intelligence developer, with significant expertise in Power BI (Business Intelligence).
- Develop, design, and maintain Power BI dashboards and reports based on business requirements.
- Build data models, create DAX measures, and optimize queries for performance.
- Connect Power BI to multiple data sources such as Excel, SQL Server, SharePoint, APIs, etc.
- Ensure data accuracy, data refresh schedules, and report performance optimization.
- Handle row-level security (RLS) and access permissions.
- Collaborate with teams to analyze trends, KPIs, and produce meaningful visual insights.
- Experience building and maintaining data models to support reporting needs.
- Solid experience integrating data from Salesforce, SAP, and utilizing ETL processes. Familiarity with Azure Data Factory (ADF) and Azure Data Lake (ADL) for data integration and storage.
- Proficient in SQL for querying, data manipulation, and performance optimization.
- Ability to communicate technical details to non-technical stakeholders and collaborate with cross-functional teams.
- Good to have Power Apps & Power Automate skill.
High School Diploma, Vocational Education/ Bachelor's Degree in Information Management, Information Systems, Computer Science, Data Analytics or equivalent.
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.
Required Skills
Salesforce
Reporting
Technical Support
SQL Server
SQL
Data Integration
Power BI
Healthcare
SAP
Azure
Data Lake
ETL
KPIs
Data Analytics
Business Intelligence
Testing
Analytics
ADF
Server
Business Continuity
Performance optimization
Information Management
Data models
ETL processes
Data manipulation
Data sources
Deals
DAX
RLS
Beta testing
Beta
Dashboards
Permissions
Factory
Manipulation
Information Systems
SharePoint
Storage
Azure Data Factory
Azure Data Lake
Computer Science
Querying
Data Factory
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