IQVIA
Data Analytics Analyst 1
Nepal · Work style not stated · Full time
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About the role
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- EmployerIQVIA
- LocationNepal
- Work styleWork style not stated
- Employment typeFull time
- Employer posted
About the Role:
We are looking for a Data Analytics Analyst 1 (DAA1) to join our growing Data Analytics team. In this role, you will work with complex datasets to support business decision-making and client engagements through data analysis, validation, and transformation. You will play a key role in ensuring data quality and integrity while collaborating with cross-functional teams to deliver actionable insights within the healthcare and pharmaceutical domain.
Ideal Candidate Profile:
We are seeking analytical and detail-oriented professionals with 1-3 years of experience in data analytics, data processing, or data engineering. The ideal candidate has strong SQL skills, hands-on experience working with large datasets, and a passion for turning data into meaningful insights. Experience with healthcare or pharmaceutical data, knowledge of US Healthcare processes, and exposure to Python or data visualization tools will be an added advantage.
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Major Deliverables:
- Analyze and interpret data to identify trends, patterns, and business insights.
- Cleanse, transform, aggregate, and validate data from multiple sources.
- Develop datasets, reports, and analytical outputs based on business requirements.
- Ensure data accuracy, completeness, consistency, and integrity.
- Support ETL (Extract, Transform, Load) and data processing activities.
- Conduct data quality assessments and audits.
- Perform root cause analysis and support issue investigation activities.
- Collaborate with stakeholders and cross-functional teams to achieve project objectives.
- Maintain documentation and adhere to established data governance processes.
- Support continuous improvement initiatives within analytics and reporting functions.
Required Qualifications & Experience:
- Bachelor's Degree in Computer Science, Computer Engineering, Electronics & Communication Engineering, Data Analytics, Statistics, Mathematics, or a related field.
- 1-3 years of experience in Data Analytics, Data Processing, Data Engineering, or a similar analytical role.
- Experience working with SQL databases and data extraction activities.
- Experience handling large datasets, performing data validation, and ensuring data quality.
- Exposure to healthcare, pharmaceutical, or enterprise data environments is preferred.
Required Skills
- SQL and database querying
- Data analysis and interpretation
- Data cleansing, transformation, and aggregation
- ETL (Extract, Transform, Load) processes
- Data validation and quality assurance
- Data integrity and governance
- Strong analytical and problem-solving skills
- Logical and quantitative reasoning
- Microsoft Excel and MS Office Suite
- Effective communication and stakeholder management
- Attention to detail and time management
- Ability to work collaboratively in a fast-paced environment
Preferred Skills
- Knowledge of US Healthcare processes and terminologies
- Experience working with healthcare or pharmaceutical datasets
- Python, R, or other data analysis tools
- Data visualization and reporting tools (Power BI, Tableau, etc.)
- Exposure to enterprise data platforms and reporting systems
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.
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At a glance
- Employment typeFull time
- Employer posted
- Added to ROLIVA
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Skills in this posting
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