Data Analytics Lead - Pharma Marketing & AI

WebMD; City of Niagara Falls (NY); On-site; USD 110,000 - 120,000; Full time

Benefits offered by this job

Health Insurance

401(k) Retirement Plan

Paid Time Off

Life & Disability Insurance

Employee Assistance Program

Commuter Benefits

Job summary

WebMD is seeking an experienced statistician or data analyst to lead hands-on development of analytical models and collaborate with internal and external partners to measure impact of campaigns and programs. The role requires strong problem-solving, statistical modeling, and experience with healthcare data; candidate will work with BI, data services, and digital marketing teams.

The ideal candidate has 3+ years of analytics experience, proficiency in R, SAS, and BigQuery, and a graduate degree

Qualifications

• Education: Graduate degree in Statistics, Mathematics, Economics, Data Science or related field.
• Strong communication and ability to distill complex issues to layman terms.
• 3+ years analytics experience; proficient in R, SAS and BigQuery.
• Ability to work in a fast-paced environment.
• Strong problem-solving & analytical skills.

Responsibilities

• Serve as a subject matter expert on statistical analysis and AI; develop and deploy machine learning and deep learning algorithms to digital marketing campaign design and evaluation, and provide coaching to an offshore analytic team.
• Consults with and provides guidance to sales and market research teams on advanced technical and methodological issues.
• Partner with internal and external clients to develop creative solutions and address key business issues.

Skills

Strong problem solving

Analytical skills

Communication skills

Present findings

Education

Graduate degree in Statistics/ Mathematics/ Economics/ Data Science

Tools

R

SAS

BigQuery

Job description

WebMD is seeking an experienced statistician or data analyst to lead hands-on development of analytical models and collaborate with internal and external partners to measure impact of campaigns and programs. The role requires strong problem-solving, statistical modeling, and experience with healthcare data; candidate will work with BI, data services, and digital marketing teams.

The ideal candidate has 3+ years of analytics experience, proficiency in R, SAS, and BigQuery, and a graduate degree