Job Title Data Analyst Expert
Job Description
Job title:
Data Analyst Expert
Your role:
Analyzes complex and multi-dimensional datasets across various business units to uncover deep insights that inform high-level strategic decisions and drive business performance.
Creates sophisticated data models and predictive analytics using advanced statistical techniques and machine learning algorithms to forecast trends and optimize business outcomes, working under general supervision. Implements scalable ETL (Extract, Transform, Load) pipelines and robust data integration solutions, ensuring data consistency, accuracy, and reliability across the organization. Provides inputs on data architecture and infrastructure improvements, advising on best practices for data storage, retrieval, and management to enhance system performance and scalability. Ensures compliance with global data privacy regulations (such as GDPR and HIPAA) by designing and enforcing comprehensive data governance frameworks and security protocols. Conducts advanced statistical analyses, including hypothesis testing and multivariate analysis, to validate business strategies and provide evidence-based recommendations for process enhancements. Evaluates the effectiveness of implemented data solutions using performance metrics and feedback loops, continuously refining analytical approaches to improve outcomes. Benchmarks existing data analytics tools and technologies, leading the selection and integration of state-of-the-art solutions to maintain a competitive edge and drive innovation. Supports the execution of enterprise-wide data strategies, providing thought leadership and expert guidance in data analytics, business intelligence, and data science methodologies. Identifies opportunities for automation and process optimization, leveraging artificial intelligence, machine learning, and advanced analytics to enhance data processing efficiency and decision-making accuracy.
Youre the right fit if: (4 x bullets max)
1. Experience- 5+ Industry Experience in Data Analysis, SQL, ETL 2. 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 3. Education- Bachelors degree in Any Engineering 4. Anything else- Must have strong communication skill.
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. 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 .
