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Data/Business Analyst

This role is for a Data/Business Analyst with a contract length of "unknown," offering a pay rate of "unknown." Required skills include SQL, Python, Tableau, and experience in data analysis. A BA/BS in a quantitative field and 5+ years of industry experience are essential.
🌎 - Country
United States
💱 - Currency
Unknown
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 13, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
San Jose, CA
🧠 - Skills detailed
#Data Profiling #Microsoft Excel #Programming #Data Analysis #Stories #Power Pivot #BI (Business Intelligence) #Predictive Modeling #SQL (Structured Query Language) #Data Storytelling #Storytelling #Microsoft Power BI #Data Mining #Tableau #Visualization #R #Data Science #Cloud #Requirements Gathering #Hadoop #Statistics #Big Data #Business Analysis #Mathematics #Computer Science #ML (Machine Learning) #Python
Role description
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Job Description: 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 · 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