data analytics technical expert (professional, Internal Audit) newIngram Micro Asia Pacific

Ingram Micro touches 80% of the technology you use every day with our focus on Technology Solutions, Cloud, and Commerce and Lifecycle Solutions.
With $46 billion in revenue, we have become the world's largest technology distributor with operations in 56 countries and more than 30,000 associates. We continue to strategically expand our global reach with 32 acquisitions since 2012.
The Data Analytics Technical Expert (Professional, Internal Audit) enables the Audit partners with Data Analytics & Dashboard Reporting.
As a Technical expert in systemic or automated controls, and run data analytics to identify business, IS and financial reporting risks. This will be accomplished by reviewing existing processes, providing skills in data analytical tools and techniques, identifying improvement activities, and recommending control improvements and/or efficiencies.
What You Bring to the Role:
The Technical Expert will work with business organizations and their data, conduct quantitative, qualitative, and strategic analysis of structured (e.g., transactional) and unstructured (e.g., text) electronic data, from initial data scoping and collection through transformation and validation for purposes of deep data mining and analysis.
Drives best practices relative to analytical/reporting tools and approach, creates value for the business by focusing on key risks and provides innovative insights and cost-effective solutions. Participates on audits of business processes, applications, IT General Controls (e.g., SAP, operating systems, network, etc.), and security of the enterprise for data analytics and to develop and automate testing. Prepares and submits summary reports on the results of data analytic efforts, including recommendations for improvement.
The Ideal Candidate must have the following qualifications:
5+ years of hands-on technical experience mining and analyzing transactional electronic data with a strong working knowledge of relational databases, including advanced experience with query building. / Develop and execute data analytics procedures using Computer Assisted Auditing Techniques (CAATs) and tools (preferably Alteryx/ACL)
Knowledge of software or programs desirable (e.g., Alteryx, ACL, SQL, Python, Access, ABAP language).
Strong command of data warehousing, data architecture, data quality processes, data warehousing design and implementation, table structure, fact and dimension tables, logical and physical database design, data modeling, reporting process metadata, and ETL processes.
Experience publishing dashboards and data sources as well as managing access, user security, and refreshing of data files / extracts.
3+ years of business intelligence, management/operational reporting and/or data analytics.
Experience designing and developing data cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking, and matching.
Exposure to advanced analytics concepts such as predictive analytics or machine learning.
Experience in data modeling, analysis, design, testing, development, and implementation.
Experience designing and implementing reporting and visualization for unstructured and structured data sets.
Expertise in building data visualizations with a strong understanding of the appropriate chart types to use to highlight patterns in the data.
Academic/Certification
BA/BS Degree in Data Scientist, Computer Science, Information Systems, Finance, Accounting, or related degree required. MBA is a plus.
CISA, CIA, CPA, or similar certifications highly desirable
*This is not a complete listing of the job duties. It's a representation of the things you will be doing, and you may not perform all of these duties.