Assurance Analytics Specialist (Commercial)

Are you ready to get ahead in your career?

We want to empower you to turn your ambitions into achievements.
We thrive in inclusiveness, diversity and embrace close collaborations for you to create impact for yourself and others.
Together, we aim to bring the best of technology to help people, businesses and the nation to be ahead in a changing world.
To realise our vision to become Malaysia’s leading converged solutions company, we are looking for a new talent to innovate and grow with us in a culture that values commitment, performance and possibilities.
Why does this job exist and why is it critical?​

This role is to carry out the responsibilities in ensuring that the Internal Assurance’s audit automation initiatives are effectively implemented and operated, especially in the design, development and operation of the continuous auditing technologies and processes. The role will essentially help to enable IA and the business in gaining insights on the risks, governance and controls through advancement in audit automation using data analytics.

What are you accountable for?

Analyse audit analysis requirements and translate into audit automation design using applicable technologies e.g. data analytics, RPA, AI

Develop, test, implement, operate and maintain data analytics and/or automation solutions using suitable tools or systems with satisfactory quality

Liaise with stakeholders to obtain continuous data from primary or secondary data sources and maintain a suitable database platform for IA’s automation purposes

Follow-up with the business in ensuring that all identified internal control findings from continuous assurance results are remediated with appropriate actions

Implement and carry out adequate data governance activities to ensure confidentiality, integrity and availability of stored and processed data by the continuous assurance platform

Accountable to drive and support the team in areas of audit data analysis, design and operationalization of automation as well as coaching the team on usage of those tools/ technologies

Working closely and build relationship with Stakeholders for ensuring effective continuous assurance service deliverables from Internal Assurance Division

Monitor and track closure of the exceptions generated from key controls checklist (KCC) automation report

Involve and provide support in assurance activities

What do you need to have for this role?

Bachelor Degree in IT / Engineering / Computer Science

Data Science / Data Analytics Certifications will be an added advantage

Total relevant experience in development of data analysis and/or database related systems not less than 3 years, preferably within internal or external audit environment

Business / Commercial and/or IT background experience will be an added advantage

Possess business acumen and overall business process, operations and compliance understanding with the ability to manage stakeholders from all levels

Strong knowledge of and experience in using one or more analytics tools / languages (e.g. ACL, Arbutus, SQL, Phyton, etc)

Strong analytical skills with the ability to collect, organize, analyze, problem solve, and disseminate significant amounts of information with attention to detail and accuracy

Experience with some expertise in data models, database design development, data mining and ETL techniques

People skills, with the ability to engage diplomatically with stakeholders and communicate changes that may not be aligned with the original expectations

Working knowledge of project management skills such as Agile methodologies

What’s next?

Once you’ve applied online, our team will carefully review your application. Due to a high volume of applications, we appreciate your patience to allow for a fair and timely review process.
Should you be shortlisted for the role, we will send you an invitation via email for a digital interview. You can also check on your application status by logging into your candidate account.
Maxis values diverse voices & people. We hire and reward our employees based on capability & performance — regardless of ethnicity, gender, age, education, religion, nationality or physical ability.