What are the responsibilities and job description for the Data Analyst � Product Analytics position at Intelliswift - An LTTS Company?
Job Title: Data Analyst - Product Analytics
Location: San Jose, CA (Hybrid - 3 days/week onsite)
Duration: 6 months
Contract Type: W2 only
Pay Rate: $66.90/Hour
Role Mandate
Location: San Jose, CA (Hybrid - 3 days/week onsite)
Duration: 6 months
Contract Type: W2 only
Pay Rate: $66.90/Hour
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.
- 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
- 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
- 8 to 10 Years of industry experience in data/business analysis or a related field
Salary : $67
