Sr Associate - APLD (PST Timezone)

Chryselys; Hyderabad; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Chryselys in Hyderabad seeks a Senior Associate - Insights Analytics to support client projects in pharma analytics. You will leverage Pharma datasets and cloud-based tools to synthesize insights and provide strategic recommendations.

Roles involve building data pipelines, harmonizing data, and creating BI reports on a Data Lake architecture. The ideal candidate has 5+ years of pharma data experience, strong SQL/Python skills, and proficiency with Tableau, Qlik, or QuickSight, enabling impactful

Qualifications

• Strong background in building data pipelines and data lakes using AWS services.
• Experience with pharma/biopharma datasets and data integration projects.
• Proficient in SQL, Python and BI visualization tools.
• Advanced Excel skills and ability to work independently.

Responsibilities

• Analyze pharma datasets (IQVIA, Symphony, Veeva) with SQL and cloud tools to derive insights.
• Synthesize recommendations using data visualizations and client presentations.
• Build data pipelines and BI reports on Data Lake architectures.
• Transform raw data into curated datasets for analytics and reporting.
• Understand client business issues and operate with standard procedures.
• Prepare data queries and outputs for stakeholders.

Skills

SQL

Python

Data visualization

Microsoft Excel

Education

Bachelor's or Master's degree in a quantitative field

Tools

AWS Redshift

AWS Athena

AWS S3

Python

Tableau

Qlik

QuickSight

SageMaker

Jupyter Notebooks

Job description

Job Summary

We re Hiring: Senior Associate - Insights Analytics at Chryselys. Location: Hyderabad. Department: Insights Analytics. Job Type: Full-time. Reports To: Manager.

Role Overview

The Senior Associate will provide integral support to our ongoing client projects.

Data Insights Analyst will leverage standard pharma industry datasets - Sales, claims, Payer datasets from IQVIA, Symphony and Veeva etc. to synthesize key insights to provide strategic recommendations and implications, as appropriate.

A successful candidate should have experience in the biopharma and/or healthcare industry, a background in data analysis and managing data integration projects, a proactive mindset, and a demonstrated track record of generating impactful insights for clients.

Successful candidate should be capable of building data pipelines and Business Intelligence reports on Data Lake architecture combining several data sets to enable performing univariate and multivariate analysis. This includes data integration, harmonization and transforming raw data into curated datasets for Data / BI Analytics.

On the tools side, The successful candidate should possess a strong background in a complex data processing environment using SQL platforms (like Redshift, Athena, Snowflake etc), Python/Jupyter Notebooks ( SageMaker etc) and Business Intelligence tools such as Tableau, Qlik, Quicksight.

Key Responsibilities

• Work timings: 6pm IST to 3am IST
• Analyze Pharma datasets like IQVIA, Symphony, Veeva and Open data using SQL and cloud based data analytics tools to provide insights that solve client problems
• Synthesize and form recommendations using data visualization tools (QuickSight, Tableau, ThoughtSpot, etc.) and PowerPoint slides
• Analyze new requests for data, identifying the appropriate datasets, and generating database queries and summary data outputs for stakeholders
• Provide findings and final recommendations to client via written communication and formal presentations
• Understand client business issues, operating business rules, data and standard operating procedures

What You Bring

• Education: Bachelors or masters degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as finance, applied mathematics, management science, data science, statistics, econometrics or engineering
• Experience: 5+ years of previous experience working with key pharmaceutical/biotechnology data sets like Sales, Claims, Payer and other secondary data.
• Skills:
  • Extensive experience in building data pipelines, Data Lake architecture using AWS services Redshift,Athena, S3 . Must be proficient in Python and SQL
  • Demonstrated experience with data processing, data analysis, profiling, data cleansing and standardization process
  • Build data stories and visualization using Business Intelligence tools such as Tableau, Qlik, Quicksight etc.
  • Excellent advanced SQL and analytical skills to query databases to perform data analysis to further enhance business analysis.
  • Ability to demonstrate strong Microsoft Excel skills, including Pivots and macros
  • Ability to work independently and collaborate with colleagues to accomplish team goals and deadlines
  • Advanced problem-solving skills and build / elevate internal capabilities; Ability to adapt quickly in a constantly changing environment.