McKesson is hiring for a fresher entry level Data Analyst role in India

Position:

• Data Analyst

Company:

• McKesson Compile

Location:

• Bengaluru, India

Job Type:

• Project-based

Job Mode:

• On-site

Job Requisition ID:

• JR0125229

Years of Experience:

• Not specified; as per JD -  fresher entry level; 0-3 years
  

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Company Description:

• McKesson, founded in 1833, is a Fortune 10 corporation specializing in healthcare supply chain management, retail pharmacy, healthcare technology, and community oncology.

• The company collaborates with a wide range of stakeholders, including pharmaceutical firms, healthcare providers, pharmacies, manufacturers, and government entities to ensure the efficient and secure distribution of medicines and medical products.

• With a commitment to enhancing patient care, McKesson ensures timely, cost-effective, and safe delivery of healthcare services and medical supplies.

• The company has a strong presence in the US healthcare market, leveraging technology and data to improve healthcare accessibility and efficiency.

• McKesson Compile, headquartered in Bangalore, India, manages extensive healthcare datasets, maintaining comprehensive records of over 2 million healthcare professionals (HCPs) and 800,000+ facilities.

• The company specializes in processing high-volume medical and pharmacy claims, including Medicare claims, along with maintaining a provider affiliation database and customer master repository.

• Employees at McKesson Compile work in an inclusive, value-driven environment that fosters career growth and development.

• The organization provides resources and opportunities for employees to enhance their professional skills while contributing to meaningful healthcare advancements.

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Profile Overview:

• The role of a Data Analyst at McKesson Compile involves analyzing large-scale data sets to uncover trends, patterns, and insights that contribute to business decisions.

• The selected candidate will play a key role in ensuring data accuracy, integrity, and quality while supporting the company's machine learning and data science initiatives.

• Responsibilities include curating data for training machine learning models, identifying anomalies, and conducting thorough research to validate healthcare-related information.

• The Data Analyst will work collaboratively with cross-functional teams, including the product and data science teams, to ensure optimal data processing and utilization.

• Strong analytical skills, problem-solving abilities, and attention to detail are crucial for this role.

• The analyst will be responsible for maintaining consistency and reliability in data, which is essential for McKesson Compile’s US healthcare market operations.

• The position requires handling and processing sensitive healthcare data while ensuring compliance with industry standards and regulations.

• The role offers an opportunity to contribute significantly to the company's mission of improving healthcare services through data-driven decision-making.

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Job Responsibilities:

Data Curation and Processing:

• Collect, organize, and structure datasets that serve as training material for machine learning algorithms.

• Extract and refine raw data elements that cannot be automatically processed by machines, ensuring high-quality data inputs.

• Conduct meticulous research to update and verify the accuracy of the dataset used in the organization’s healthcare products.

• Improve the quality and consistency of data by conducting focused research projects.

• Maintain and update the company’s proprietary database with verified and accurate information.

• Implement best practices in data collection, cleaning, and validation to ensure the usability of data across teams.

Data Analysis and Interpretation:

• Examine large datasets to detect patterns, anomalies, and trends that can influence business strategies.

• Identify inconsistencies and errors within datasets and propose corrective measures.

• Perform statistical analyses to generate actionable insights that support healthcare decision-making.

• Interpret complex datasets and communicate key findings to stakeholders in a comprehensible manner.

• Assist in the development of data visualization models and dashboards to present analytical results effectively.

Collaboration and Stakeholder Engagement:

• Work closely with the Product and Data Science teams to ensure that critical analyses are properly documented and communicated.

• Collaborate with other teams to investigate and resolve data-related issues encountered by clients.

• Provide support for ongoing data science projects by ensuring accurate and relevant data is available for model training and validation.

• Act as a bridge between different departments to align data-related tasks with overall business objectives.

• Communicate data-driven insights to non-technical stakeholders in a clear and actionable manner.

Quality Assurance and Compliance:

• Evaluate data outputs to detect potential errors or inconsistencies before they impact business operations.

• Ensure data integrity by implementing validation mechanisms and cross-checking information against reliable sources.

• Stay up to date with industry standards and compliance requirements for handling healthcare data.

• Work within regulatory guidelines to maintain confidentiality and security of sensitive healthcare information.

• Participate in internal audits and data quality assessments to maintain high standards of accuracy and reliability.

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Qualifications:

• A bachelor's degree in Computer Science, Engineering, Law, Economics, Statistics, Mathematics, or Logic.

• A solid foundation in both technology and analytics, allowing for efficient data processing and interpretation.

• Prior experience or knowledge of the US healthcare system and its terminologies is highly beneficial.

• Strong research skills, particularly in conducting online investigations to verify and update datasets.

• A keen analytical mindset with a demonstrated ability to extract business insights from complex data structures.

• Proficiency in statistical analysis and familiarity with data visualization techniques.

• Excellent problem-solving skills with a high level of accuracy and attention to detail.

• Self-motivated with the ability to work independently while managing multiple tasks simultaneously.

• A disciplined approach to organizing and completing work efficiently.

• Strong communication skills, with the ability to present analytical findings clearly to various stakeholders.

• Familiarity with data science concepts and machine learning techniques is an added advantage.

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Additional Information:

Work Environment and Culture:

• The company fosters an inclusive and collaborative work culture that promotes diversity and innovation.

• Employees are encouraged to take initiative and explore creative solutions to data challenges.

• McKesson provides career growth opportunities through training programs, mentorship, and internal mobility options.

Technology and Tools:

• The role requires working with cutting-edge data analytics tools and machine learning frameworks.

• Proficiency in SQL, Python, or R is beneficial for handling data queries and statistical analysis.

• Knowledge of data visualization software such as Tableau or Power BI is advantageous.

Career Growth Opportunities:

• Employees have access to continuous learning and development programs to enhance their analytical and technical skills.

• The role provides exposure to real-world healthcare analytics, making it an excellent opportunity for career advancement in the field of data science and analytics.

• McKesson supports employee-driven projects, enabling professionals to contribute innovative ideas and improve existing processes.

Impact on Healthcare Industry:

• The work done in this role directly impacts the healthcare industry by improving data quality and accuracy for critical decision-making.

• Analysts at McKesson Compile play a key role in ensuring that accurate medical and pharmacy data is available for healthcare professionals and stakeholders.

• The role offers a unique opportunity to contribute to the development of data-driven healthcare solutions that enhance patient care and operational efficiency.

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Please click here to apply.

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