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As a Data Analytics Senior in Digital Services and Experience, you will play a crucial role in delivering future-focused, consumer-centric, and prescriptive solutions that allow GM to stay proactive and nimble. You will join the DSX Analytics hub and contribute to the development of high-quality, scalable, and curated data products. These data products serve several lines of business, including Loyalty, OnStar, Digital Services & Experience, Manufacturing and Growth Businesses. Additionally, you will collaborate with other Data Scientists and work cross-functionally with partner teams to create a solid data analytics foundation.
Job Responsibility:
Develop custom ETL solutions using Python
Work as a member of a cross-functional team to propose and implement high-impact data and analytic solutions that address business challenges across a variety of business units
Apply data analysis techniques to drive data-driven decision making and solve complex business problems
Create breakthrough solutions, performing exploratory and targeted data analyses
Analyze large amounts of diverse information to discover trends and patterns
Undertake preprocessing of structured and unstructured data
Present complex information using data visualization techniques
Work with diverse technical teams and provide data and analytic oversight to ensure project deliverables fulfill business needs and timing
Requirements:
Bachelor’s degree in computer science, engineering, information technology, or a related field
Collaboration and versioning with Github
Strong problem-solving and analytical skills
Practical experience analyzing and curating large-scale customer event data products
Ability to identify tasks which require automation and automate them
Programming skills in data and analytics platforms, big data processing frameworks and languages, and development tools including Azure (or similar), Databricks, Spark, Python, SQL, and GitHub
Nice to have:
Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality
Highly collaborative work style with strong listening and communications skills
Ability to evaluate the big picture and solve business problems rather than focusing solely on metrics