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Common mid-level data role, metro location, and broad BI/AI skill set increase applicant competition.
General SQL/Python/BI skills are transferable but SAP- and enterprise-specific tools require moderate domain experience.
Explicit 1–4 years plus mandatory SQL, Python, AI and BI tooling creates strict technical filters.
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Analyze and interpret complex data using tools like SAP Reporting (Fiori App), SAP Analytics Cloud, Microsoft PowerBI to generate actionable insights and support strategic business decisions.
Develop and maintain advanced data models, perform data profiling, data quality improvement using machine learning and AI tools including Python, ChatGPT, and CoPilot.
Lead data governance initiatives by collaborating on data cleansing methods, data catalog management, and mentoring junior team members.
1-4 years of relevant work experience in data analysis or related IT discipline.
Proficient in SQL query language (NoSQL and SQL), Python programming, and business intelligence tools.
Experience with AI tools such as ChatGPT and CoPilot is mandatory.
Exposure to Agile software development methodologies is required.
Familiar with advanced analytics and data governance in IT environments using SAP ecosystem and Microsoft BI tools.
Comfortable applying machine learning techniques and integrating AI/ML tools into data workflows and governance.
Capable of mentoring peers, managing complex data projects, and adapting to emerging data technologies and tools.