Business Analyst I in Mountain View, CA at APEX Systems

Date Posted: 4/17/2018

Job Snapshot

Job Description

Job #:  812501

Job Title: Business Analyst I

Location: Mountain View, California 94043

Duration: 1 Year (04/09/2018-04/09/2019)

Company: Fortune 50 Tech Company


Project Overview: The Global Marketing Solutions (GMS) team drives quantitative thinking and innovation to power GMS sales programs by developing insights and predictive models to make key program design decisions like: which advertises should we target?, what should the sales rep pitch be? what is the impact of our activity? how to best reach them and make positive changes? The new role will take part in a project that involves complex transition and migration process from an old system to a new one.

Overall Responsibilities:

  • Design and develop analytical frameworks and tools to provide insight on sales programs performance
  • Take part in the design, development and testing of a system that tracks the implementation activities done by customers/end-users on Adwords product and measures the influence of sales channels on these activities
  • Effectively communicate goals, plans, activities & challenges to management and to other teams such as engineering and sales

Top 3 Daily Responsibilities:

  • Analyzing large data sets, debugging, documenting and supporting the Auto Adoption Tracking system
  • Design & Development of a new reporting solution covering both back-end queries and front-end dashboards
  • Communicating through emails, presentations and meetings with business and technical teams across the company

Job Requirements

  • BA/BS degree in Computer Science / Information Systems / Engineering / Math or related quantitative field
  • 3-5 years of relevant experience in BI/ETL development and Business Analysis with technical skills
  • Experience in writing complex queries and scripts (SQL, Python or Java Script)
  • Experience analyzing large data sets using SQL, Excel, R, and other quantitative and statistical modeling technologies and tools.
  • Deep interest and aptitude in data and metrics analysis and visualization
  • Excellent problem-solving capabilities and strong analytical skills
  • Great communication skills, both verbal and written