AI & Data Analytics Professional

NIIT FOUNDATION
Posted on
NIIT FOUNDATION logo

Experience
1 - 3 yrs
Job Location
India
Vacancy
1
Designation
Artificial Intelligence Analyst
Job Type
Not specified

Job Description

Key Responsibilities:
  • Training Delivery: Conduct classroom and/or online sessions on Data Analytics modules, including Excel, SQL, Power BI, and basic Python (if applicable).
  • Curriculum Implementation: Deliver training as per the prescribed curriculum, ensuring timely completion of modules and alignment with industry standards.
  • Student Assessment & Evaluation: Conduct regular assessments, assignments, and mock tests to evaluate student progress and learning outcomes.
  • Hands-on Learning: Facilitate practical sessions, case studies, and real-world projects to enhance applied learning.
  • Student Mentorship & Support: Provide individual support to students for doubt resolution, career guidance, and interview preparation.
  • Attendance & Batch Management: Monitor student attendance, ensure discipline, and maintain batch performance records.
  • Placement Readiness: Prepare students for placements through resume building, mock interviews, and soft skills integration.
  • Coordination & Reporting: Maintain training records, submit MIS reports, and coordinate with centre managers and placement teams.
Requirements
  • Key Skills & Qualifications:
  • Graduate/Postgraduate in Data Analytics, Computer Science, IT, Statistics, or related field
  • Strong knowledge of:
    • Advanced Excel (Pivot Tables, Formulas, Dashboards)
    • SQL (basic to intermediate queries)
    • Power BI / Tableau
    • Basic Python (preferred but not mandatory)
  • Good understanding of data analysis concepts and visualization
  • Strong communication and presentation skills
  • Ability to engage and manage classroom effectively
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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