Senior Associate V&A Insights

Amgen Technology; Hyderabad; Vor Ort; INR 800.000 - 1.500.000; Vollzeit

Zusammenfassung

Amgen Technology is seeking a data analytics professional to develop and deploy advanced machine learning, operational research, and statistical methods on large datasets. You will create analytics solutions addressing customer needs, deliver regular performance dashboards, and provide insights to support business objectives across payer and formulary domains.

The role involves working with datasets from claims, payer data, and pharmaceutical ecosystems, performing longitudinal analyses and

Qualifikationen

• Masters degree with 1–3 years IS experience OR
• Bachelor's degree with 2+ years IS experience

Aufgaben

• Develop analytics solutions using ML, OR, semantic analysis and statistics to uncover structure in large data sets.
• Produce dashboards from complex data sources including claims, payer data and IDN affiliations.
• Deliver payer insights from payer datasets and provide strategic business insights.
• Create data analytics models using SQL, Python and Excel for actionable business decisions.
• Leverage AI to automate day-to-day workflows across workstreams.

Kenntnisse

SQL

Python

Tableau

Power BI

Time series

Segmentation

Excel

Ausbildung

Master's degree in CS/Statistics/STEM

Bachelor's degree in CS/Statistics/STEM

Tools

Fingertip

Clarivate datasets

IQVIA LAAD

Symphony Claims

IQVIA NPA

IQVIA DDD

Jobbeschreibung

Job Summary

Lets do this. Lets change the world. In this vital role you will be responsible for developing and deploying advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. This role involves creating analytics solutions to address customer needs and opportunities.

Responsibilities

• Experience with Fingertip, Clarivate datasets.
• Experience with Obesity GLP-1 Market.
• Experience with solving unstructured problem statements.
• Understand pharmaceutical ecosystem and data sets including medical and pharmacy claims (ex. IQVIA LAAD, Symphony Claims), prescription (ex. IQVIA NPA), outlet (ex. IQVIA DDD)
• Provide in-depth, expertise-based oversight and delivery of managed markets analysis including product formulary position, utilization management controls, customer segmentation and control/sophistication assessment.
• Produce and deliver regular performance dashboards based on complex data sources, including claims data, payer rebate data, DDD data and IDN affiliations data
• Prepare, continuously refine and present periodic reports tracking product and portfolio performance against business objectives.
• Execute analytics plan to support payer insights from various payer datasets based on detailed understanding of related datasets i.e. Patient level claims data; Payer claims data; Formulary coverage; Specialty Pharmacy Data.
• Perform advanced analytics including longitudinal patient level analysis, time series modeling, customer segmentation and diagnostics in support of business questions
• Create data analytics models to generate strategic actionable business insights using SQL, Python and Microsoft Excel
• Leverage AI in day to day workings for continuous automation across workstreams

Basic Qualifications

• Masters degree and 1 to 3 years of computer science, statistics or STEM majors with a minimum of 1 year of Information Systems experience OR
• Bachelors degree and 3 to 5 years of computer science, statistics or STEM majors with a minimum of 2 years of Information Systems experience

Preferred Qualifications

• Basic knowledge of marketing analytics in the pharmaceutical industry
• Foundational understanding of US pharmaceutical ecosystem and Patient support services offerings (Copay) and other standard data sets including claims, prescription
• Strong expertise in any one of the visualization tools Tableau or Power-BI
• Experience in database languages (e.g. SQL)
• Experience with one or more analytic software tools or languages like R and Python
• Ability to think strategically to support key business decisions
• Ability to work collaboratively in team-based environment across different functional groups
• Demonstrated analytical skillsunderstands the strengths and limitations of different analytical approaches and their findings
• Skill in handling multiple responsibilities, priorities, tasks and projects simultaneously
• High degree of analytical and problem-solving skills
• Exhibits strong understanding of business strategies

Soft Skills

• Initiative to explore alternate technology and approaches to solving problems.
• Skilled in breaking down problems, documenting problem statements, and estimating efforts.
• Excellent analytical and troubleshooting skills.
• Strong verbal and written communication skills
• Ability to work effectively with global, virtual teams
• High degree of initiative and self-motivation.
• Ability to manage multiple priorities successfully.
• Team-oriented, with a focus on achieving team goals