Job Details

Business Analyst (Forecasting)

Company

Staff Management/SMX

Published

2018-03-20

Closes

 

Location

San Jose, California, United States

Category

Administrative, Management and Executive, Operations and Logistics

Type

Full-time

Description

The primary objective of the Google Express Forecast Ops Team is to efficiently convert inputs and insights from qualitative and quantitative sources into relevant, accurate forecasts.The Forecasting Analyst is a critical member of the team, responsible for designing and implementing technical solutions that support forecasting accuracy, speed, and insight. You will play a key role in helping Google Express scale and expand.

To be successful in this role, you must have excellent analytical skills (ideally also statistical and/or programming/SQL skills), be able to clearly articulate and discuss complex quantitative concepts, and be comfortable in an ambiguous, fast-paced environment.


Responsibilities:

Forecasting Processes and Automation

●    Generate, analyze, modify and publish weekly forecasts of GX market demand over time

●    Identify, model and incorporate impacts of major business decisions in forecasts, communicate the impact and methodology to cross-functional partners

●    Improve publishing speed by designing and developing automation to replace repeated manual work

●    Manage forecast data pipeline and diagnose/fix pipeline issues

Forecast Accuracy:

●    Work with cross-functional partners to collect and synthesize quantitative and qualitative data, propose and implement improvements to existing processes, and create scalable solutions to address forecasting problems

●    Build technical solutions that apply learnings from prior forecast errors to improve future-looking forecasts

●    Work with data scientists to develop and improve our automated forecasting systems, including applying statistical and other analytical techniques to improving system performance (i.e. efficiency and forecast accuracy)

Forecasting Insight

●    Build tools that enable the team to break down historical forecast errors with greater detail and accuracy; design and implement solutions to facilitate communication of findings with cross-functional partners

●    Generate impactful data visualizations and commentary on forecast trends

 

Qualifications:
 

●    BA/BS degree in a quantitative field (e.g. Statistics, Mathematics, Computer Science, Operations Research, Quantitative Economics). Master's Degree or PhD preferred

●    2-5 years of work experience in a highly analytical role, ideally in forecasting, data/business analytics, data science, S&OP and/or management consulting

●    Demonstrated analytical and problem structuring skills

●    Extensive (2-5 years) working experience in SQL and large scale data analysis

●    Extremely strong spreadsheet proficiency

●    High degree of familiarity in applying technical solutions to address business challenges

●    Ability to self-start and self-direct work in an unstructured and fast-paced environment; comfort dealing with ambiguity

●    Strong attention to detail; excellent written & verbal communication skills