Latest Jobs at Cirvee

Job Description

• We are seeking a Business Growth & Operations Lead to spearhead our business development and operational activities. This role combines deal-closing, partnership building, and operational execution to ensure Cirvee Academy’s continued growth and success.

Key Responsibilities:

• Identify and convert growth opportunities with individuals, schools, businesses, and government agencies.
• Build, manage, and nurture partnerships that drive revenue and brand visibility.
• Lead the execution of signed deals, ensuring smooth handover and delivery.
• Develop and monitor sales/partnership pipelines, preparing reports on growth performance.
• Represent Cirvee Academy at events, conferences, and industry meetings.
• Collaborate with internal teams to align operations with business objectives.

Qualifications:

• Bachelor’s degree in Business, Marketing, Management, or related field (advanced degrees or certifications are a plus).
• Proven experience in business development, partnerships, sales, or operations (preferably in EdTech, tech, or related industries).
• Strong negotiation, communication, and relationship management skills.
• Ability to thrive in a fast-paced, entrepreneurial environment.
• Results-driven, self-motivated, and highly accountable.

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Job Description

• We are seeking a passionate and skilled Data Analysis Tutor to join our academic team. The ideal candidate will teach, mentor, and inspire students to become confident in using data to solve real-world problems.

Key Responsibilities:

• Deliver engaging, practical training sessions on data analysis (Excel, SQL, Power BI, Tableau, Python for Data Analysis, etc.).
• Design and update course materials, ensuring alignment with industry standards.
• Mentor and guide students through hands-on projects and assignments.
• Assess student progress and provide constructive feedback.
• Stay up to date with current trends in data analytics and incorporate them into teaching.
• Collaborate with the education team to improve learning outcomes.

Qualifications

• Bachelor’s degree in Computer Science, Statistics, Data Science, or a related field.
• Proven experience as a Data Analyst or Data Scientist.
• Proficiency in tools such as Excel, SQL, Power BI, Tableau, and/or Python (pandas, NumPy, matplotlib, etc.).
• Prior teaching, tutoring, or mentorship experience is an added advantage.
• Strong communication and presentation skills.
• Ability to simplify complex topics and make learning engaging.