Advanced Analytics Analyst

Ahold Delhaize•Pleasant Hill, CA

18h•Hybrid

About The Position

The Advanced Analytics role will work collaboratively with the product managers, data visualization analysts, data scientists and the operational teams to develop predictive analytical solutions to detect demand trends and predict future outcomes. This position is part of a supply chain data team of reporting analysts, data integrity analysts, product managers and will work with key stakeholders to help prepare for AI practitioners developing novel approaches to personalization. Consult with our product managers and business stakeholders to create ML/AI solutions for their largest business challenges. This role will optimize models developed for deployment Research "future" state for supply chain and commercial along with how we can bring new innovative solutions into Ahold Delhaize. Our flexible/ hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Salisbury, NC, Quincy, MA, and Scarborough, ME. Applicants must be currently authorized to work in the United States on a full-time basis.

Requirements

3-6 years relevant experience
Deep understanding of, and experience applying, the following ML concepts
Database and SQL knowledge
Python
R
SAS
Power Bi
Knowledge of model management
Bachelor's Degree in computer science, business, economics, engineering, math, statistics, or other quantitatively oriented major
Ability to develop a structured approach to complex questions and quickly form a hypothesis against which to run test analyses.

Nice To Haves

Master's Degree in similar quantitative field preferred
Advanced capabilities in Microsoft Office
Mastery of Excel and PowerPoint
Expertise in Microsoft Azure, PowerBI, Pythron, R, SAS, and SQL
Significant experience with machine learning, predictive analytics, statistics, and structured problem solving
Knowledge of approaches to work with big data, including querying databases and manipulating large sets of data to generate robust insights
Knowledge of Spark, MLlib, PySpark, Scala
Experience with Microsoft Azure stack, Hadoop, Hive clusters, Apache Spark, Databricks

Responsibilities

Collaborate with IT to structure supply chain & commercial data in a way that will make it accessible for creating machine learning tools for supply chain & commercial.
Work with IT to identify and leverage new technology to access data in such a way to facilitate analysis and insight development.
Work closely with product managers and IT engineers to sustainably scale and deploy supply chain products.
Participate in discussions with leadership about innovative approaches to analysis and the implications of different data, while building alignment on the results.
Research future states of processes or insights we can leverage to help our robust Supply Chain & commercial team.
Presenting new initiatives and tools to the stakeholders for review.