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Senior Data Analytics Analyst

Kathmandu, Nepal

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Apply at Iqvia

What you’ll work on

Full posting
  • Cleanse, transform and aggregate data from diverse healthcare sources

  • Map disparate data fields into a unified schema and reconcile member data

  • Support data standardization such as code alignment and member-month calculations

  • Run detailed data analysis tasks and follow data-processing standards on ETL pipelines

  • Lead a team and coordinate data deliverables

From the employer’s posting
Perform data cleansing, transformation, and aggregation from diverse healthcare data sources
Map disparate data fields into a unified schema and reconcile our client’s member information across datasets
Support data standardization efforts, including relationship code alignment, demographic normalization, member‑month calculations, and healthcare code analysis
Execute detailed data analysis tasks assigned by the reporting manager in support of client and internal goals. Follow organizational data‑processing standards using proprietary tools and ETL pipelines for Analytics
Lead a team and coordinate data deliverables

What you’ll bring

All qualifications

Core experience

  • Bachelor’s Degree in Computer Engineering, Computer Science, Data Science, or a closely related field.
  • Knowledge of US Healthcare processes and terminologies will be a plus point
  • 4+ years of experience in data‑centric roles with increasing responsibility.
  • Familiarity with Agile methodologies and team‑based development processes.
  • Experience working with healthcare claims systems, EMR data, or related healthcare datasets.
  • Proficiency with Amazon Web Services (AWS), Redshift, SQL, and advanced Excel functions.
Qualification wording
Bachelor’s Degree in Computer Engineering, Computer Science, Data Science, or a closely related field.
Knowledge of US Healthcare processes and terminologies will be a plus point
4+ years of experience in data‑centric roles with increasing responsibility.
Familiarity with Agile methodologies and team‑based development processes.
Experience working with healthcare claims systems, EMR data, or related healthcare datasets.
Proficiency with Amazon Web Services (AWS), Redshift, SQL, and advanced Excel functions.
Education & alternatives
Qualifications - Bachelor’s Degree in Computer Engineering, Computer Science, Data Science, or a closely related field. - 4+ years of experience in data‑centric roles with increasing responsibility.

Tools in this posting

  • SQL
  • AWS
  • Excel
  • Redshift
Source — Tool mentions in context
- Experience working with healthcare claims systems, EMR data, or related healthcare datasets. - Proficiency with Amazon Web Services (AWS), Redshift, SQL, and advanced Excel functions. - Strong analytical knowledge/experience

Posting record

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Status in our records
Live
First seen by us
Oct 28, 2026 · 1 day ago
Recorded sightings
4
Last seen by us
Oct 29, 2026
Reposted
once since Sep 12, 2026

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Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

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Job description

View original posting ↗

Job Overview
IQVIA is looking for Data Analytics Analyst 2 to join our Data Analytics team, responsible for the analysis and implementation of U.S. healthcare data for analytical applications. In this role, you will play a key part in interpreting, transforming, and standardizing complex datasets to generate meaningful insights that support business decisions. You will also ensure data quality, maintain consistency across multiple sources, and contribute to the continuous improvement of data processes, tools, and reporting frameworks.


Essential Functions

  • Interpret, analyze, and validate data using advanced statistical, querying, and analytical techniques.

  • Perform data cleansing, transformation, and aggregation from diverse healthcare data sources.

  • Map disparate data fields into a unified schema and reconcile our client’s member information across datasets.

  • Support data standardization efforts, including relationship code alignment, demographic normalization, member‑month calculations, and healthcare code analysis.

  • Execute detailed data analysis tasks assigned by the reporting manager in support of client and internal goals.

  • Follow organizational data‑processing standards using proprietary tools and ETL pipelines for Analytics.

  • Perform other related duties or special projects as directed by the reporting manager to support business objectives

  • Play a key role in the decision-making for data implementation

  • Lead a team and coordinate data deliverables


Qualifications

  • Bachelor’s Degree in Computer Engineering, Computer Science, Data Science, or a closely related field.

  • 4+ years of experience in data‑centric roles with increasing responsibility.

  • Significant data management knowledge and hands-on ETL experience.

  • Experience working with healthcare claims systems, EMR data, or related healthcare datasets.

  • Proficiency with Amazon Web Services (AWS), Redshift, SQL, and advanced Excel functions.

  • Strong analytical knowledge/experience

  • Knowledge of US Healthcare processes and terminologies will be a plus point

  • Familiarity with Agile methodologies and team‑based development processes.

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.

Source details

View original posting ↗

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Location & working pattern

Kathmandu, Nepal

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