Lead, design and develop complex data assets such as impactful visualization reports, dashboards and self-service data products to aid decision making.
Collaborate with stakeholders to understand business needs and provide consultative analytic solutions.
Conduct in-depth statistical and quantitative analysis on complex data to develop insights and address business issues.
Apply predictive/prescriptive modeling and perform Data Science, Experimentation, A/B testing as needed.
Retrieve data from different source systems, perform ETL operations, and handle large volumes of data using Databricks and SQL.
Help define and implement best practices and patterns for creating scalable, high-quality visualizations using Power BI, Dash, and React.
Work with cross-functional teams including data analysts, data engineers, data scientists, UX/UI designers and business stakeholders.
Identify key metrics and KPIs for tracking business performance and progress.
Support dynamic needs of business teams and deliver rapid analytic solutions with quick turnaround times.
Requirements
Bachelor's degree or higher in Computer science, Data Science, Information Systems/related field or relevant experience.
5+ years of experience as a BI Engineer/Data analyst and worked on creation, deployment and management of dashboards and developing business insights and analytics.
Strong proficiency in SQL, Power BI, Tableau or equivalent.
Strong statistical and quantitative analysis skills with the ability to translate complex data into clear insights.
Compelling story telling skills, strong knowledge of data visualization best practices, principles, techniques required.
Understanding of data manipulation and transformation techniques.
Experience retrieving data from different source systems, performing ETL operations, and handling large volumes of data.
Expertise in Data Bricks, SQL, Power BI or equivalent.
Experience with Power BI, Dash, and React for creating scalable visualizations.
Data Science, Experimentation, Inference, A/B testing, quantitative modeling, ML modeling skills are nice to have.
Excellent problem-solving skills and the ability to think critically about data visualization challenges.
Strong communication skills and a collaborative mindset.
Attention to detail and a passion for creating visually compelling and informative data visualizations.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE; candidates requiring sponsorship should not apply.
Ability to report to GM Georgia IT Innovation Center or Warren GM Global Technical Center or Austin Innovation Technical Center three times per week, at minimum.
Benefits
GM offers a variety of health and wellbeing benefit programs
medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs
employee assistance program
GM vehicle discounts
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
StorytellingProblem-solvingCritical thinkingCollaborationAttention to detailCommunicationConsultative skillsAnalytic solutionsStakeholder engagementBusiness insight development
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Data ScienceBachelor's degree in Information Systems