Specialist II – Data Analyst
Company Name:-
Philips
Job Location:-
Bengaluru, Karnataka
Job Summary:-
Job Title
Specialist II – Data Analyst
Job Description
You have the opportunity to
Build our next generation smarts, you will be working with experts in a variety of fields, including clinical & regulatory specialists, UX designers, dental and skin care professionals, system architects, product management to integrate new technologies and refine system performance.
You will help build learning systems, leveraging data sets consisting of user interactions and actions, collected from hundreds of thousands of consumer devices, per day to model, analyze, and predict user behaviors.
While some of our algorithms run on resource constrained devices, others require large clusters on our cloud infrastructure.
As data analyst you will be responsible for understanding business entities and their relationships and representation in the Healthcare Platforms, Products, Services, and Tools within the Personal Health cluster.
Job Responsibilities
Managing and ensuring data quality, integrity, normalization and accuracy of available datasets.
Improve data quality as per data quality framework and working with data owner.
Internal and external benchmarking to establish things influencing data quality.
Managing and designing the reporting environment, including data sources, security, and metadata.
Generate business insights using BI dashboards that shall provide clear directions/actions to senior managers to support decision-making.
Support digitization to improve quality of data.
Root cause analysis by using quality analysis tools, machine learning and statistics.
Helping organization to take key decisions based on integrated analytics involving different datasets.
Perform predictive data analysis, generate indications for focus area and target the improvements proactively.
Maintain and re-engineer existing ETLs to increase data accuracy, data stability, and pipeline performance.
Advanced statistical techniques for complex data analysis.
Interpreting data, analysing results using statistical techniques, developing analytical reports.
Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies.
Managing and designing the reporting environment, including data sources security, and metada
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