Data Analyst - Product Experimentation

Primary Skills: Experimentation, SQL, Python, Big Data, Customer Behavior Job Title: Data Analyst – Experimentation Location: San Jose, CA (Hybrid – 3 days/week onsite) Duration: 6 months Contract Type: W2 only Role Mandate: • 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 Client’s 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 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 Education: • 8 to 10 Years of industry experience in data/business analysis or a related field