Senior Statistical Analyst

RadNet, Inc.; Mumbai City; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Data Axle India is seeking a Sr Statistical Analyst to lead analytical initiatives for external clients, employing SAS as the main statistical programming tool and integrating multiple internal and client data sources.

The role covers data acquisition, validation, modeling, insight generation, and standardized reporting, requiring strong SAS expertise (3+ years) and the ability to operate in a matrixed environment with cross-functional partners.

Qualifications

• Bachelor's degree in engineering, CS, mathematics, economics, statistics or related quantitative field.
• 3+ years hands-on SAS programming in BI, analytics, or statistical analysis.

Responsibilities

• Lead recurring and ad hoc analytical deliverables for external clients using SAS as primary tool.
• Develop, maintain, and optimize reporting assets for advanced statistical analysis and data validation.

Skills

SAS

SQL

Python

Tableau

Excel

Databricks

Cloud platforms

Education

Bachelor's degree

Tools

SAS Certification

SQL

Python

Tableau

Excel

Databricks

AWS/Azure/GCP

Job description

General Summary

Data Axle Inc. has been an industry leader in data, marketing solutions, sales, and research for over 50 years in the USA. Data Axle now has an established strategic global centre of excellence in Pune. This centre delivers mission-critical data services to its global customers, powered by its proprietary cloud-based technology platform and by leveraging proprietary business and consumer databases.

Data Axle India is recognized as a Great Place to Work! This designation reflects our efforts in fostering an exceptional workplace culture and an environment where every team member can thrive.

The Sr Statistical Analyst is responsible for leading recurring and ad hoc analytical initiatives for Data Axles external customers, with a strong emphasis on advanced SAS-based data analysis and statistical programming. This role owns the end-to-end analytical lifecycle from data acquisition and validation to modeling, insight generation, and standardized reporting leveraging multiple internal and client data sources. This position requires strong SAS expertise (3+ years), the ability to pivot across tools and datasets, and the urgency and agility to operate effectively within a matrixed environment while partnering with cross-functional stakeholders to drive measurable business impact.

Essential Job Functions

• Own and lead recurring and ad hoc analytical deliverables for Data Axles external clients, utilizing SAS as the primary statistical programming tool and integrating multiple internal and client-specific data sourcesDevelop, maintain, and optimize reporting assets/programs to perform advanced statistical analysis, data manipulation, validation, profiling, and performance measurement.
• Perform data preparation and analysis using SQL and Python
• Summarize insights using Microsoft Excel and create basic visualizations in TableauPartner with cross-functional stakeholders to ensure analyses are actionable and aligned to business objectives
• proactively investigate data anomalies and highlight key trendsEnsure data accuracy, integrity, and governance, adhering to standardized reporting frameworks and best practices
• Operate with a high sense of urgency, managing multiple priorities simultaneously while navigating a matrixed organizational structure.

Qualifications and Skills

• Bachelors degree in engineering, Computer Science, Mathematics, Economics, Statistics, or a related quantitative fieldMinimum 3+ years of handson SAS programming experience in a business intelligence, analytics, or statistical analysis role.
• SAS Certification (e.g., SAS Certified Specialist, Base Programmer, Advanced Programmer, or equivalent) is strongly preferred23 years of experience in business intelligence and analytics, with demonstrated expertise in building and analyzing datasets using SQL, Microsoft Excel, and Tableau (Power BI & Python are a plus).
• Strong ability to operate in a fastpaced, matrixed environment with a high sense of ownership and urgencyDemonstrated problem-solving skills with the ability to independently access data, derive insights, and proactively communicate risks, issues, and updatesExcellent communication skills, with the ability to translate complex analyses into clear, concise insights for diverse audiencesPrior experience supporting or working with North Americabased clients and stakeholders (US/Canada) is requiredWillingness and flexibility to attend meetings during US business hoursExperience working in cloud environments (AWS, Azure, or GCP); prior exposure to Databricks is a plus.

Posting Location Pune, India

Position Type Full Time

EEO is the Law .