Address
Form of workJob Description
PAY RANGE: $60-$66/hr
LOCATION: San Jose, CA (hybrid)
DURATION: 1+ year
Insights & Analytics Data Analyst
The Challenge
***'s Document Cloud Strategy & Insights team is looking for an Insights & Analytics Data Analyst who is passionate about using big data to deliver phenomenal customer experiences and to inform business decisions. You'll be responsible for driving tactical insights for product usage and customer retention. Additionally, you should have experience working in cross functional environments, leading change, and communicating effectively to executive and non-technical audiences.
What you'll do
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
Design and develop insightful analytics deliverables, projections and target settings, via a variety of statistical tools and techniques including requirements gathering, data profiling, data analysis, statistical analysis, predictive modeling, use case definition, data visualization, and data storytelling
Gather, synthesize, and interpret disparate quantitative data within the context of business objectives, identify trends, and explore data through segments and cohorts
Implement business models to grow the customer base and optimize user experience
What you'll need to succeed:
BA/BS in Actuarial Science, Statistics, Mathematics, Economics, Computer Science or other quantitative fields. Master is preferred.
3-10 Years of industry experience in data/business analysis or a related field
A strong proficiency in querying and manipulating large data sets for analytical purposes using SQL-like languages (Hive/Hadoop experience preferred)
Familiarity with big data platforms such as Hadoop
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
IND123
LOCATION: San Jose, CA (hybrid)
DURATION: 1+ year
Insights & Analytics Data Analyst
The Challenge
***'s Document Cloud Strategy & Insights team is looking for an Insights & Analytics Data Analyst who is passionate about using big data to deliver phenomenal customer experiences and to inform business decisions. You'll be responsible for driving tactical insights for product usage and customer retention. Additionally, you should have experience working in cross functional environments, leading change, and communicating effectively to executive and non-technical audiences.
What you'll do
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
Design and develop insightful analytics deliverables, projections and target settings, via a variety of statistical tools and techniques including requirements gathering, data profiling, data analysis, statistical analysis, predictive modeling, use case definition, data visualization, and data storytelling
Gather, synthesize, and interpret disparate quantitative data within the context of business objectives, identify trends, and explore data through segments and cohorts
Implement business models to grow the customer base and optimize user experience
What you'll need to succeed:
BA/BS in Actuarial Science, Statistics, Mathematics, Economics, Computer Science or other quantitative fields. Master is preferred.
3-10 Years of industry experience in data/business analysis or a related field
A strong proficiency in querying and manipulating large data sets for analytical purposes using SQL-like languages (Hive/Hadoop experience preferred)
Familiarity with big data platforms such as Hadoop
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
IND123
