Data Analyst

Job Description:

• Client's Cloud Customer Insights and Analytics team is looking for an Experienced Data Analyst who is passionate about using big data to deliver phenomenal customer experiences and inform business decisions.
• Understanding customer behavior through deep dive analysis, developing hypotheses and testing them through rigorous experimentation forms the core of our team.
• We are looking for someone who is self-motivated, is willing to own an analytical focus area and drive engagement with stakeholders and delivering impact.
• Additionally, you should have experience working in cross functional environments, leading change, and communicating effectively to executive and non-technical audiences. 

Responsibilities

• Leverage clickstream data and transactional data to uncover insights based on customer journey
• Formulate hypothesis that could help unlock bottlenecks and drive better user experience on the platforms
• Collaborate with engineering, product and UX teams to identify the analytics instrumentation needed and validate the accuracy of the telemetry on staging and production environments.
• Provide analytics requirements for conducting A/B Tests and help with the test design, setup, detailed analysis and recommendation
• Develop compelling stories that convey the relevant synthesized insights to various internal partner audiences
• Partner with various cross-functional teams (Engagement & Retention, Data Science, Finance, Engineering, Product, and Marketing) to drive growth in Document Cloud’s Family of Products
• Leverage statistical and data science models to analyze and better understand the end-to-end customer journey, from acquisition and conversion to engagement and retention
• Utilize dashboarding tools such as Power BI and Tableau for descriptive and diagnostic analyses 
• Telecommuting up to 50% permitted 

Required Skills

• 8 to 10 Years of industry experience in data/business analysis or a related field 
• BA/BS in Actuarial Science, Statistics, Mathematics, Economics, Computer Science or other quantitative fields. Master is preferred. 
• A strong proficiency in querying and manipulating large data sets for analytical purposes using SQL-like languages (Hive/Hadoop experience preferred) 
• Familiarity with clickstream data (product usage) and big data platforms such as Hadoop 
• 2-3 years experience in conducting A/B testing 
• Experience with programming language such as Python, R 
• Experience with data visualization tools such as Tableau/Power BI 
• Statistical Modelling in Microsoft Excel or Power Pivot 
• Understanding of statistical modeling, machine learning, or data mining concepts, and a record of solving problems with these methods. 
• Excellent communication (verbal and written), relationship skills, and a strong team player