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Popular generalist data role, metro location, broad technical skillset increases competition.
Core analytics and BI skills are highly transferable across industries.
Many mandatory technical skills (SQL, PL/SQL, Python, BI tools) indicate strict technical filtering.
Develop, maintain, and optimize SQL and PL/SQL database solutions including Oracle objects and Microsoft Access applications with VBA support.
Create, automate, and validate business reports and dashboards using tools like SAP BusinessObjects, Power BI, or Tableau, ensuring data accuracy.
Perform advanced data analysis, data cleansing, predictive modeling, and leverage AI/GenAI responsibly to generate actionable business insights and improve reporting workflows.
Bachelor's degree in Computer Science, IT, Data Analytics, Engineering, or related field.
Proven experience with SQL, Oracle databases, PL/SQL, and Oracle tools such as TOAD or SQL Developer.
Hands-on experience with Microsoft Access applications including VBA.
Work Experience Required: Not explicitly mentioned in the JD.
Strong technical proficiency in database technologies and data analysis, including Python or R, with focus on predictive analytics and statistical modeling.
Experience working across multiple data integration platforms and reporting tools in a business-critical analytics environment.
Ability to apply data governance, privacy, security, and responsible AI practices consistently throughout analytics processes.