Senior Analytics Data Engineer - Indaiatuba/SP at John Deere

Main Responsibilities

• Conduct research and discovery on complex structured and unstructured data sources, assess quality and accuracy, and select information needed for an analysis or analytic solution;
• Make recommendations to improve data and analytics systems and platforms, contributing to the continuous improvement and refinement of data and analytics strategy;
• Support creation of analytic solutions including machine learning algorithms by designing and building complex data pipelines that enable deployment at scale;
• Support collection of business requirements using a variety of methods, such as stakeholder conversations, document analysis, and workflow analysis, to express requirements clearly and succinctly;
• Contribute to the development of various data and analytics reports (e.g. solution health measures) and interactive interfaces (R Shiny, Dash etc.);
• Facilitate data democratization by establishing data pipelines and infrastructure that support self-service analytics and empower users to make data-driven decisions.

Skills You Need

• Bachelor's Degree or Equivalent Level in quantitative field;
  
• Advanced English: broad vocabulary, good grammar, conducts meetings, argues, negotiates and provides training;
• Proficiency in at least one statistical programming language; R or Python AND SQL;
• Proficiency with analytics/big data platforms and technologies such as Databricks or Spark;
• Experience building and supporting efficient automated data pipelines to support reporting and modeling efforts;
• Experience building interactive interfaces to facilitate stakeholder use of advanced analytic insights in making decisions;
• Experience communicating complex, technical information to a non-technical audience and creating detailed documentation and diagrams.

What Makes You Stand Out

• Experience developing analytics data pipelines using both relational and non-relational data structures;
• Experience building complex interactive interfaces in R Shiny or Dash to facilitate business stakeholder consumption of advanced analytic insights;
• Experience with AWS infrastructure and services;
• Experience in data visualization/transformation tools like Power BI, Power Query;
• Experience working with Agile Project Teams, Scrum Teams or Product Teams;
• Experience contributing to analytics projects with version control software such as Git;
• Experience working with digital behavior and customer journey data and related business systems/processes or strong desire to build such expertise.