Senior Analyst, Data Scientist

Inizio Ignite | Vynamic; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Inizio Ignite | Vynamic seeks a Senior Analyst to join client engagement teams, leading analytics workstreams and delivering high-impact insights for life sciences projects.

You will apply SQL, Python/R/SAS, and BI tools to commercial analytics, real-world data, and dashboard design, communicating findings to stakeholders across geographies.

Qualifications

• Master’s degree with a major in a quantitative science (e.g., engineering, data science, statistics, mathematics).
• Senior Analyst: Master’s degree plus 1–2 years of relevant work experience or PhD.
• Experience processing and analyzing large datasets using SQL and Python/R/SAS; strong Excel skills (Power Query, VBA).
• Strong foundation in statistics and machine learning, incl. hypothesis testing and model evaluation.
• Experience with cloud analytics (AWS, Azure, Snowflake).
• Proficiency in BI/dashboarding (Tableau, Power BI, Qlik Sense) and translating results to insights.

Responsibilities

• Lead analytics workstreams for client engagements and deliver high-impact analyses.
• Develop dashboards and visualizations to support strategic decisions.
• Translate business questions into structured analytical plans and communicate insights clearly.
• Collaborate with case teams and stakeholders across geographies in a hybrid consulting environment.

Skills

SQL

Python

R

SAS

Excel (Power Query, VBA)

Tableau

Power BI

Qlik Sense

Cloud platforms (AWS/Azure/Snowflake)

Communication

Statistics & ML

Education

Master’s degree in quantitative science (engineering/data science/statistics/math)

PhD in related field

Tools

Tableau

Power BI

Qlik Sense

AWS

Azure

Snowflake

Job description

Position Summary

As anInizioIgnite Senior Analystyou will be a core member of client engagement teams, leading sophisticated analytics workstreams and owning the development of high-impact analytical deliverables. You will apply advanced analytical, coding, and modelling skills to solve complex business problems for life sciences clients, while contributing to methodological best practices across the data analytics team.

A significant portionof this role will focus on commercial analytics and business intelligence, including marketing and sales analytics, real-world data analysis (e.g., claims and EHR), and the design and delivery of dashboards and data visualizations that support strategic and operational decision-making.

In this role, you will work closely with case team leadership to design and execute analytics approaches, translate ambiguous business questions into structured analytical plans, and communicate insights clearly to both internal stakeholders and clients.

Desired Skills and Experience

The ideal candidate for the Senior Analyst position is a highly motivated, analytically rigorous individual with strong ownership mentality, excellent communication skills, and the ability tooperateindependently in a fast-paced consulting environment.

• Provenanalytic experiences and problem-solving skills (Master’sdegree with a major in a related field of quantitative science e.g., engineering, computer/data science, statistics, mathematics, etc.)

• Senior Analyst: Master’s degree plus 1-2 years of relevant work experience or PhD’s degree

• Demonstratedexpertisein processing andanalyzinglarge datasets using SQL and Python/R/SAS; strong Excel skills (e.g., Power Query, VBA) a plus, with experience applying these skills to commercial analytics use cases such as marketing performance, sales effectiveness, patient journeys, and market dynamics

• Strong foundationin statistical analysis and machine learning, including hypothesis testing, supervised and unsupervised learning, and model evaluation

• Experience working with cloud-based data and analytics environments (e.g., AWS,Azure,Snowflake)

• Proficiencyin business intelligence, dashboarding, and data visualization using tools such as Tableau, Power BI, or Qlik Sense, with the ability to translate analytical results into clear, decision-ready insights

• Experience working with real-world healthcare and life sciences datasets (e.g., claims, EHR, lab, provider,Rx,and payer data; sources such as Komodo, IQVIA, Symphony, Truven, Optum, Flatiron), particularly in commercial and market-facing analytics contexts; familiarity with omnichannel commercial analytics (e.g., HCP engagement, marketing mix, channel performance) is a plus

• Ability to independently structure analyses, manage multiple priorities, and deliver high-quality work under tight timelines

• Strong written and verbal communication skills, with the ability to explain complex analytical concepts to non-technical audiences

• Experience working effectively as part of hybrid teams across multiple geographies,demonstratingstrong collaboration, adaptability, and comfortoperatingin a global consulting environment