Data Analyst Associate

Chennai - Cambridge Tower, India

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Philips

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Job Title

Data Analyst Associate

Job Description

Job title:
PMS Data Scientist Associate

Your role:
nalyzes complex datasets from various sources to identify patterns, trends, and actionable insights, ensuring data-driven decision-making aligns with business objectives and compliance standards, working under general supervision.
• Creates detailed and visually appealing reports and dashboards using tools such as Tableau or Power BI to effectively communicate data insights and trends to stakeholders, enhancing their understanding of business performance.
• Develops and maintains robust databases and data pipelines, ensuring data accuracy, integrity, and accessibility, while implementing best practices for data governance and security within a limited level of autonomy.
• Works closely with cross-functional teams, including marketing, finance, and product development, to understand their data needs and provide analytical support that drives strategic initiatives and operational efficiency.
• Ensures compliance with data privacy regulations (such as GDPR or HIPAA) and company policies when processing sensitive or Protected Health Information (PHI), safeguarding data integrity and confidentiality.
• Conducts thorough data validation and verification processes, employing statistical methods and quality assurance techniques to guarantee the accuracy and reliability of reported data.
• Prepares comprehensive documentation of data analysis methodologies, processes, and findings, facilitating transparency, reproducibility, and knowledge sharing within the team and organization.
• Monitors key performance indicators (KPIs) and metrics, providing regular updates and actionable insights to management, supporting continuous improvement and strategic planning efforts.
• Supports data request and query resolution for internal and external audits, ensuring timely and accurate responses that meet compliance and regulatory standards.
• Implements process improvements in data collection, processing, and analysis, leveraging automation and advanced analytics techniques to enhance efficiency and effectiveness.

You're the right fit if: (4 x bullets max)
1. Experience.- 1-2 years of experience in Python/R/SQL coding

2. Skills.

• Data Analysis & Interpretation
• Data Harmonization & Processing
• Statistical Methods
• Statistical Programming Software
• Business Intelligence Tools
• Data Mining
• Research & Analysis
• Structured Query Language (SQL)
• Regulatory Compliance
3. Education: Bachelor's Degree in Information Management, Information Systems, Computer Science, Data Analytics or equivalent.
4. Anything else- Good in coding and communication skills.


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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: Business Intelligence Computer Science Data analysis Data Analytics Data governance Data Mining Data pipelines Finance KPIs Pipelines Power BI Privacy Python R Research Security SQL Statistics Tableau

Region: Asia/Pacific
Country: India

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