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Sr. Data Solution Analyst

Description

Hybrid:  This position does not require an employee to be on-site full-time to perform most effectively.  The employee’s role enables them to work at a GM facility or off-site as frequently as needed or desired. This position requires an employee to be onsite  1-3 times per week .

In recent years, GM Information Technology has successfully executed the largest IT transformation in the history of the automotive industry, fully insourcing what once was a nearly completely outsourced IT function. Today GM IT is a dynamic and fast paced organization that designs, develops, and maintains all IT infrastructure, applications and solutions enabling GM’s global operations. From designing and building the next generation of electric and other vehicles to developing a world-class GM experience for our dealers and customers, GM IT is driving real change in the most iconic automaker on the planet. Our team delivers unique enterprise-wide IT solutions in cutting-edge technologies such as mobility, telematics, mission-critical business systems, supercomputing, cloud, vehicle engineering and real-time computing. We offer challenging positions for passionate professionals looking to advance their careers and be a part of an IT organization focused on innovation, speed and business value.

About the Team:

The Global Purchasing and Supply Chain IT team provides the technology innovation behind one of the world’s largest digital supply chains, with a network of 182 plants, 650 logistics service providers and 3,100 suppliers to build 9 million vehicles and deliver to over 15,000 dealers worldwide. IT integrates the enterprise to make this happen. Our industry-leading team of analysts, developers, engineers, and architects develop, test, and deploy the technology that drives GM. This is an expansive team that is looking for a dynamic and critical team member.

Our Demand Supply Planning Data/Analytics team supports operational improvement and enabling decision-making for our business teams through curated enterprise data and self-constructed data sets.

Responsibilities:

  • Develop creative data acquisition solutions, driving the collection of new data and the refinement of existing data sources, collaborating with data warehouse engineers on data selection, preprocessing and formatting

  • Assess and build upon the current analytic tool architectures and implementations to support an outstanding “Big Data” approach

  • Participate in POCs to build break through technical solutions, supporting rapid, iterative development cycles.

  • Responsible for creation, comprehensive understanding, maintenance and communication of Logical and Physical Data Models for Project and Business Segment Data Areas

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

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

  • Promote and contribute to re-use and standards

  • Work with project managers, delivery, and dev leads to provide feedback on structuring project activities and estimates

  • Familiar with ETL dev patterns, preferably has worked closely with data engineers and leads

  • Contribute to building and maximizing re-usable data integration frameworks and patterns


Additional Description

Qualifications:

  • Minimum 10+ years experience designing, developing and supporting enterprise IT applications

  • Bachelor's degree in technical field preferred or equivalent experience required

  • Ability to translate application data/analytics requirements to efficient data flows and models, using re-usable patterns

  • High SQL proficiency (Very important, 5+ yrs)

  • In-depth understanding, and experience modeling (5+ yrs), of dimensional data models (facts, dimension, star schema, etc)

  • Experience with ERWIN or another data modeling tool before (1-2 years+)

  • Experience with DataStage and ETL patterns

  • Experience with open source technologies, especially Spark, Java, and Python (others: Hadoop / MapReduce, ElasticSearch, Storm, Cassandra, Kubernetes, Elastic Storage System, Greenplum, Dremio etc)

  • Experience with handling data quality, data cleansing, data wrangling, and data standards.

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

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

  • Experience with optimization and performance tuning

  • Strong problem solver with ability to evaluate a challenge and understand solution patterns

Preferred Qualifications:

  • Experience within data & analytics in any space/organization and find this space to be exciting and opportunity to work with various customer domains and business face with other teams

  • A master’s degree in a technical subject area or equivalent experience in IT industry


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.