Embark on a career shaping the future of the Technology, Media & Entertainment, and Telecommunications (TMT) industry. At EY, we foster a culture of continuous learning and growth, empowering you to build a fulfilling career.

This role offers the chance to drive transformation within TMT organizations, addressing challenges in competitiveness and agile strategy. You'll contribute to creating exceptional employee and customer experiences, safeguarding brands, and enabling strategic M&A.

Join EY Consulting and leverage the power of people, technology, and innovation to solve our clients' most strategic problems. Our client-centric approach focuses on delivering long-term value by tackling complex business challenges.

Lead teams of consultants to deliver high-quality engagements focused on business risk and process & controls within TMT environments. Analyze operational and risk data to pinpoint control gaps, process inefficiencies, and areas for improvement.

Prepare structured analyses and leverage data analytics to support consulting recommendations. Utilize SQL and Python for data extraction, transformation, and risk/control review activities. Exposure to AI/ML concepts for enhanced analytics and automation is a plus.

A strong foundation in consulting with practical experience in business risk and process & controls engagements, particularly within TMT sectors. Proficiency in analyzing data to identify control weaknesses and inefficiencies, alongside hands-on data analytics skills.

Familiarity with SQL and Python for data manipulation and risk assessment is essential. A Bachelor's degree in a relevant field such as Computer Science, Engineering, Commerce, Business Administration, or Computer Applications is required. A Master's degree in Engineering, Data Science, Commerce, Business Administration, or Computer Applications is also beneficial.

Candidates should possess the ability to collaborate effectively across client departments, demonstrating a practical, agile, and creative approach to problem-solving. Experience in Data Engineering (4+ years), Data Analysis (2+ years), Project Management (6+ years), Business Analysis (3+ years), Database Administration (4+ years), Software Architecture (6+ years), and Business Intelligence (3+ years) is highly desirable.