GM
DataAnalyticsSenior
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Analytics Senior at GM. Skills: Data Analytics, Data Products, ETL, Python, Spark, SQL, Databricks, Azure. 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.”
What You'll Achieve.
delivering future-focused, consumer-centric, and prescriptive solutions that allow GM to stay proactive and nimble.; contribute to the development of high-quality, scalable, and curated data products.; create a solid data analytics foundation.; ensure project deliverables fulfill business needs and timing.
Industry & Context.
problem-solving and analytical skills.; solve complex business problems.; Ability to evaluate the big picture and solve business problems rather than focusing solely on metrics.
Hybrid: for this position is required to be on site 3x/week
What They're Looking For.
Must Have
Bachelor’s degree in computer science, engineering, information technology, or a related field., Collaboration and versioning with Github., 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 listening and communications skills., Ability to evaluate the big picture and solve business problems rather than focusing solely on metrics.
What You'll Do.
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.
How You'll Work.
Team & Collaboration
Work as a member of a cross-functional team; collaborate with other Data Scientists; work cross-functionally with partner teams; Work with diverse technical teams
Communication Scope
Highly collaborative work style with listening and communications skills.; Present complex information using data visualization techniques.
Process & Methodology
Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality.
Full Job Description
**Job Description** **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):** * 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. **Location** : São Caetano do Sul/SP **Your skills and abilities (required qualifications):** * 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 th
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