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Data Analyst / AI Analytics Expert – Transforming Healthcare Through Data Intelligence

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Data Analyst / AI Analytics Expert – Transforming Healthcare Through Data Intelligence

Birbhum

Salary: Based on Interview Location: Birbhum
Job Description
TitleDescription
Data Analysis & InterpretationCollect, process, and analyze healthcare data from various hospital systems and digital platforms.
Identify trends, correlations, and insights to support decision-making and hospital performance improvement.
Prepare reports and dashboards highlighting key metrics and operational efficiencies.
AI & Predictive AnalyticsDevelop AI and machine learning models for predictive healthcare analytics and automation.
Implement data-driven algorithms to improve patient management, diagnostics, and resource utilization.
Collaborate with software and IT teams to integrate AI tools into hospital systems.
Data Management & Quality ControlEnsure accuracy, consistency, and security of large datasets from multiple sources.
Maintain databases, perform data cleaning, and validate information integrity.
Optimize data pipelines for real-time analytics and AI integration.
Visualization & ReportingDesign interactive dashboards and visualizations using tools like Power BI, Tableau, or Python (Matplotlib/Seaborn).
Present findings and insights to management and medical professionals in an understandable format.
Research & InnovationExplore emerging AI techniques and data analytics models relevant to healthcare and hospital operations.
Support research initiatives by providing analytical models and insights from medical and administrative data.
Required Skills
TitleDescription
Technical Skills:Strong knowledge of data analysis tools like Python (NumPy, Pandas, Scikit-learn) or R.

Experience with machine learning algorithms, data visualization, and statistical modeling.
Familiarity with SQL/NoSQL databases and data pipeline tools (ETL).
Proficiency in AI frameworks such as TensorFlow, Keras, or PyTorch.
Understanding of cloud-based analytics platforms (AWS, Google Cloud, Azure).
Soft Skills:Analytical mindset with attention to accuracy and detail.
Strong problem-solving and logical reasoning abilities.
Effective communication for presenting technical insights to non-technical stakeholders.
Collaboration with interdisciplinary teams including doctors, developers, and management.
Curiosity for innovation and continuous learning in AI and data science.
Eligibility Criteria
TitleDescription
Educational Qualification:Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Artificial Intelligence, or related field.
Experience:2–5 years of experience in data analytics, AI modeling, or machine learning applications, preferably in healthcare or IT.
Preferred Background:Prior exposure to hospital analytics, digital health projects, or AI-driven systems will be an advantage.
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