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Manufacturing IT Data Analyst

Description

This is a Hybrid position within our IT Organization. The role will allow employees to work offsite but will also require onsite work based on business needs. The selected candidate will be expected to commute to the innovation center to which they are assigned as their primary GM facility. This position requires an employee to be onsite 1-3 times per week. Relocation may be provided.

About the GM Global Manufacturing IT team:

GM Global Manufacturing transforms new automotive product designs into reality and is comprised of approximately 94,000 employees at over 118 sites across 13 countries. 

GM Global Manufacturing is a key element in the transformation toward Electric Vehicles in General Motors and works throughout the Vehicle and Propulsion Development Process culminating in the launch of exciting new products in our manufacturing plants.

The GM Manufacturing Information Technology (IT) team plays a vital role in creating and implementing IT solutions which enable the manufacturing of Vehicles and Propulsion Systems using the digital manufacturing process and system design integrating seamlessly with production critical Manufacturing Executions Systems.

GM Global Manufacturing enabled by GM Manufacturing IT is on the journey toward Manufacturing 5.0 with integrated manufacturing concepts leveraging the highest levels of automation and in-process quality assurance.

Manufacturing IT collaborates closely with our business partners to develop the information system strategies and systems to translate breakthrough technologies into vehicles and experiences that people love. 

About the Role:

The GM Manufacturing IT team has collected billions of data points from manufacturing plant floor devices, systems, and applications, with more and more data being collected every day.  This data is being used to support business decision-making and to help identify opportunities for throughput optimization, downtime prevention, cost avoidance and quality improvement.

As a Manufacturing Data Analyst, you will work cross-functionally to support turning data into information and information into actionable insights.  In this role, you will be responsible for assessing the data needs of projects and ad-hoc requests, performing exploratory data analysis, identifying data patterns, assessing data quality, constructing data sets and metadata, and developing compelling data visualizations and insights.

This role requires a solid understanding of manufacturing operations, strong analytics and big data technical skills, the ability to work in a highly collaborative environment, favoring fast iteration and test and learn, natural curiosity, and excellent listening and communication skills.

This role may require some limited global travel.

Major Duties and Responsibilities:

  • Work with cross-functional teams to develop actionable, high-impact data analytics solutions

  • Work with business domain, operations research, and IT professionals to identify detailed data needs and appropriate sources

  • Develop a deep understanding of data trends; identify outliers, exceptions, and data inconsistencies

  • Lead the generation of data dictionaries, data quality assurance reports, data validation decks and data summary reports

  • Identify logic for data integration, and partner with Data Engineering to develop robust and re-usable data assets

  • Develop actionable insights that are both engaging and understandable

  • Provide on-going data quality support


Additional Description

Minimum Qualifications:

In addition to being insightful, solutions oriented, and you have at least 7 years of experience in most of the following:

  • Experience in analyzing source system data and data flows using SQL, data visualization and other techniques, working with structured and unstructured data

  • Experience creating data structures to support machine learning models, analytics systems design, and development

  • Experience with industry leading large-scale database platforms and speed layers (i.e. Hadoop, Kubernetes, Elastic Storage System, Greenplum, Dremio)

  • Experience with Hadoop frameworks such as Hive, Sqoop and Pig

  • Experience with analytic / reporting tools (i.e. R, Power BI, Cognos, Knime)

  • Experience with open source technologies, especially Spark, Java, and Python (others: Hadoop / MapReduce, ElasticSearch, Storm, Cassandra, etc)

  • Experience with data engineering, data architecture, and machine learning models a plus (e.g. ETL, data models/modeling, supervised vs. un-supervised learning, svm, tree-based methods, knn, hmm, crf, etc.)

  • Large scale data warehouse and data integration implementations

  • Highly collaborative work style with exceptional listening and communication skills, and the ability to work closely and iteratively with analytic modelers, business subject matter experts, and other IT teams

  • Ability to influence a multi-site, multi-functional team and model strong drive for results, tenacity, and positivity


About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

Benefits Overview

The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:
• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;
• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;
• Company and matching contributions to 401K savings plan to help you save for retirement;
• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; 
• Tuition assistance and student loan refinancing;
• Discount on GM vehicles for you, your family and friends.

Diversity Information

General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers.   We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.

We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.

Equal Employment Opportunity Statements

The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.