• Us Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 12th Jan 2022

KEY RESPONSIBILITIES

• Support product initiatives and pilots with analysis, performance reporting and

development of customers insights.

• Partnering with our product team, identify opportunities most important for services

growth, adoption, retention, engagement, and/or monetization.

• Apply your expertise in quantitative analysis, data mining, and the presentation of data to

see beyond the numbers and understand how our users interact with both our service.

• Influence business decisions by synthesizing data from multiple sources (date warehouse,

surveys, research) and developing actionable business insights. Contribute to the

development of hypotheses and actions.

• Create compelling stories with data – The ideal candidate will have a proven track record

of creating and delivering succinct and persuasive presentations to a variety of

audiences.

• Consistently identify new ways to leverage data and analysis.

EDUCATION AND EXPERIENCE REQUIRED

• Master’s degree in any of the following: Mathematics, Analytics, Data Science,

Engineering, Statistics.

• 5-10 years of data analysis work experience as data analyst, preferably in support of digital

products.

• 2+ years working collaboratively with product teams

KNOWLEDGE AND SKILLS REQUIRED

• Expert in BI tools and technologies such as, Tableau, PowerBI, Google Analytics,Splunk.

• Expert in SQL

• Familiarity with Enterprise data storage solutions (Redshift, snowflake, S3).

• Familiar with R, Python, Spark.

• Storyteller with proven records of delivering intuitive presentations of complex

information and actionable insights to Senior Management, and/or to heterogeneous

audience.

• Demonstrated business acumen, understanding of strategy, and successful experience

managing all aspects of cross-business unit insights team.

• Demonstrated deep customer understanding and empathy in previous roles.

• Ideal Candidate would have experience with advanced modelling techniques such as

logistic regression, generalized linear models, decision trees, factor analysis, cluster

analysis, survival analysis, etc