Data Science Engineer

Adobe

3 - 6 years

30 - 35 Lacs

bengaluru

Posted:1 day ago| Platform:

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Skills Required

customer analytics manager quality assurance google analytics excel web analytics adobe digital marketing marketing strategy sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Assess, interpret & analyse data to deliver insight and understanding of customer behaviour on Adobe.com.
Review test hypotheses, help with detailed test plans, craft success metrics, perform quality assurance, analyze test results, and prepare Test Summaries using behavioral and customer voice analytics.
Use experimental design to optimize website and marketing activities as well as new in-product initiatives.
Apply outstanding analytics tools, such as the Adobe Marketing Cloud (e.g. Target, Analytics, Ad Hoc Analysis etc.) to analyse test results and provide interpretation, guidance and recommendations to aid marketing decision making
Partner with Marketing to identify key visitor segments, draft user stories for the ideal customer experience for each segment
Work with other team members to integrate insights from different analyses/sources to deliver detailed analysis and recommendations to collaborators.
Work to help enhance customer experience across various touchpoints on Adobe.com
Guarantee solutions are able to scale, be repeated, work efficiently, and meet the requirements of partners.

What you ll need:

Bachelors degree required along with practical business experience in analyzing data. MBA or Masters in a quantitative field like Economics, Statistics, Engineering, or IT a plus
3-6 years of experience in analytics and/or marketing analytics. Experience in B2C and eCommerce is preferred.
Experience with web analytics tools such as Adobe Analytics and Amplitude (strongly preferred), Google Analytics, or CoreMetrics. Expert in analysis and insight generation. Proven ability to perform in-depth data analysis and present insights in a clear manner
Expert in A/B and Multivariate testing, design of experiments, the mathematics of statistical hypothesis testing coupled with the ability to draw meaningful business insights across multiple tests.
Good understanding of Microsoft Excel, SQL , Python(preferred) or RStudio, Visualization and experience with Big Data tools like Hadoop and Hive.
Excellent verbal and written communication skills.

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