Web and Testing Analyst Job in Bangalore at Adobe Inc.

Adobe is hiring for the role of Web and Testing Analyst! 

Responsibilities of the Candidate:

• Assess, interpret & analyze data to deliver insight and understanding of customer behavior on Adobe.com.
• Review test hypotheses, help develop comprehensive test plans and success metrics, perform quality assurance on test cells, calculate the final test results and deep dive analysis of the test results, and craft Test Summaries using both behavioral and voice of the customer analytics to provide actionable insights for key business stakeholders. 
• Proactively identify and analyze trends within the data to understand visitor behavior, market dynamics, and site performance metrics. 
• Utilize best-in-class analytics tools, including the Adobe Marketing Cloud (eg. Target, Analytics, Ad Hoc Analysis, etc.) to analyze test results and provide interpretation, guidance, and recommendations to aid marketing decision-making.
• Partner with Marketing, Finance, Product team, and e-commerce teams to support the RTB process, Launch measurements, etc.
• Ability to understand different Adobe data sources to drive all the cross-surface journey optimization.
• Partner with the Data engineering team to create comprehensive reports and dashboards to visually communicate insights effectively, presenting findings in a clear format. Make complex findings easily understandable, by highlighting key takeaways and actionable recommendations.

Requirements:

• Bachelor's 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
• Experience in analytics and/or marketing analytics. Experience in B2C and eCommerce is preferred.
• Experience with web analytics tools such as Adobe Analytics (strongly preferred), CJA, Google Analytics, or CoreMetrics
• Candidate must know programming languages like R, Python, or SQL for data extraction and data stitching work.
• Expert in A/B and Multivariate testing, design of experiments, and the mathematics of statistical hypothesis testing coupled with the ability to draw meaningful business insights across multiple tests.
• Knowledge of test design and combining disparate data sources is a plus.