Associate - Technology Consulting, Data & Analytics (Fresh Graduate)

Key Skills

Data Analysis, Data Analytics, DevOps, ETL/ELT technologies, Machine learning techniques, Mathematics, Python Programming, R Programming, SQL, Statistics, Unix Operating system

Job Description

Associate - Technology Consulting, Data & Analytics

The opportunity: your next adventure awaits

The Data and Analytics team works collaboratively with our clients to manage engagements and lead teams of data analysis resources in all aspects of design and delivery of information solutions - including Data Quality and Governance, Data Analytics, Business Intelligence, and Data Management.

Data Analytics is integrated into all Consulting service offerings and assists clients to leverage data as an asset throughout its business processes. You'll enjoy working in multi-disciplinary teams and gaining valuable experience in various sectors and play a key role in ensuring high quality outputs and service to our clients.

Your key responsibilities

• Contribute technically and deliver Analytics-related solutions to clients
• Communicate effectively with the project manager & team members regarding the progress of the project
• Prepare technological solutions, reports and schedules that will be delivered to clients and other parties
• Develop and maintain productive working relationships with client personnel
• Build strong internal relationships within Ernst & Young Consulting Services and with other services across the organization

What we look for

• You have an agile, growth-oriented mindset. What you know matters. But the right mindset is just as important in determining success. We’re looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world.
• You are curious and purpose driven. We’re looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world.
• You are inclusive. We’re looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust.
• Qualifications:

• Degree in quantitative fields such as Computing, Engineering, Analytics, Statistics, Applied Mathematics, Machine Learning, Operation Research, Information Management
• Good understanding of time series, statistical, and decision modeling; and machine learning techniques
• Good understanding of various data structures, common methods and tools used for data transformation
• Proficiency with analytical programming languages such as Python and/or R, as well as familiarity with SQL
• Familiarity with at least one marketable business intelligence tool, such as PowerBI
• Familiarity with cloud technologies, DevOps tools, ETL tools, machine learning frameworks, visualization software, * Unix shell scripting are considered a plus.
• Comfortable with ambiguity and applying creativity to solve complex problems
• Some data competition experiences are preferred

What’s in it for you

• Accelerate your technical capabilities and transformative leadership skills with future-focused courses and development programs.
• Broaden your horizons by working on highly integrated teams across the globe and collaborate with people of diverse backgrounds — both professionally and culturally.
• Bring out the best in yourself with continuous investment in your personal well-being and career development.
• Develop your own personal purpose and help us create a positive ripple effect on our teams, our business, clients and society – building a better working world, together.

What you can expect

• Only shortlisted candidates will be contacted via email for an interview with the hiring managers.

If you can demonstrate that you meet the criteria above, apply now.

Please note that for your application to be considered, you are required to upload the following documents together with your online application:

• Detailed resume
• Highest academic certification and transcripts