Data/Business Analysis

Job Description

Job Description

Job Role and Responsibilities :

Mandatory Skills : clickstream data, stakeholder management, SQL

Key points in skills : 5 Years of industry experience in data / business analysis or a related field Have worked in product analytics; exposure to clickstream data and understands customer journeys Have managed stakeholder communication and is equally qualified at business and technical skills. Is very adept at SQL and is an excellent business analyst (This is not a data engineering role / or data architect role / or machine learning role)

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