What are the responsibilities and job description for the Job Opportunity: Business Data Analyst: San Jose, CA: C2C/ W2: position at Envision Technology Solutions?
Job Details
Job Title:- Business Data Analyst
Location:- San Jose, CA
Job Type:- Contract
On-Site
Job Description:-
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
Develop insightful analytics deliverables, projections, and target settings via a variety of statistical tools and technique including requirements capturing, data profiling, data analysis, statistical analysis, predictive modeling, use case definition, data visualization, and data storytelling.
Utilize dashboarding tools such as Power BI and Tableau for descriptive and diagnostic analyses
Test and optimize the customer experience
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
Develop insightful analytics deliverables, projections, and target settings via a variety of statistical tools and technique including requirements capturing, data profiling, data analysis, statistical analysis, predictive modeling, use case definition, data visualization, and data storytelling.
Utilize dashboarding tools such as Power BI and Tableau for descriptive and diagnostic analyses
Test and optimize the customer experience
What you'll need to succeed
BA/BS in Actuarial Science, Statistics, Mathematics, Economics, Computer Science or other quantitative fields. Master is preferred.
5 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
BA/BS in Actuarial Science, Statistics, Mathematics, Economics, Computer Science or other quantitative fields. Master is preferred.
5 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
