Hybrid: for this position is required to be on site 3x/week
Job Description Summary:
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.
What you will do (responsabilities):
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Develop custom ETL solutions using Python.
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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.
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Apply data analysis techniques to drive data-driven decision making and solve complex business problems.
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Create breakthrough solutions, performing exploratory and targeted data analyses.
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Analyze large amounts of diverse information to discover trends and patterns.
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Undertake preprocessing of structured and unstructured data.
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Present complex information using data visualization techniques.
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Work with diverse technical teams and provide data and analytic oversight to ensure project deliverables fulfill business needs and timing.
Your skills and abilities (required qualifications):
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Bachelor’s degree in computer science, engineering, information technology, or a related field.
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Collaboration and versioning with Github.
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Strong problem-solving and analytical skills.
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Practical experience analyzing and curating large-scale customer event data products.
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Ability to identify tasks which require automation and automate them.
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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.
What can you give a competitive edge:
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Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality.
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Highly collaborative work style with strong listening and communications skills.
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Ability to evaluate the big picture and solve business problems rather than focusing solely on metrics.
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