Job Article: Data Analyst for Audit and Risk Analytics
Are you a data-driven professional looking for an exciting role that combines your technical skills with the strategic function of audit and risk analysis? This data analyst position offers a unique opportunity to collaborate with internal audit teams and develop advanced data analytics routines that drive decision-making and ensure robust control mechanisms.
Educational Qualifications:
To qualify for this role, you need to have one of the following educational backgrounds:
- CA (Chartered Accountant)
- CMA (Certified Management Accountant)
- B.Tech (Bachelor of Technology)
- M.Tech (Master of Technology)
- MBA (Master of Business Administration)
Essential Skills:
A strong foundation in data analytics and associated tools is required. The role demands:
- Hands-on experience with data analysis tools such as SQL, R Studio, Python, and QlikView. You should also be proficient in tools used for developing dashboards like Tableau and Power BI.
- A CISA certification (Certified Information Systems Auditor) or an equivalent certification is mandatory, ensuring you have the expertise to perform in a risk and audit context.
Preferable Skills:
- Experience in an ERP environment (preferably Oracle) is highly desirable, enabling you to better understand how to extract and analyze data from enterprise systems.
Work Experience:
To be eligible for this role, you should have:
2 to 5 years of experience as a data analyst.
Functional experience in analyzing large datasets, identifying patterns, and using data analytics tools effectively.
Specific expectations include:
- Proven experience in using data analytics software.
- Strong analytical skills, with the ability to collect, organize, and analyze significant amounts of data to identify trends and patterns.
- Proficiency in extracting and analyzing data from a variety of systems.
Key Responsibilities:
As a data analyst in the audit and risk domain, your primary role will be to support internal audit activities by designing and implementing data analytics routines. Here’s a breakdown of the core responsibilities:
Data Analytics for Audits: You will be tasked with identifying, designing, and developing data analytics routines to aid the internal audit team. These analytics routines will help uncover trends, outliers, and patterns within large data sets, allowing the audit team to make informed decisions.
Enhanced Risk Insights: One of your key responsibilities will be to maintain effective systems of data analytics and models that provide advanced insights into risks and control measures. You will be responsible for analyzing large volumes of data, identifying anomalies, and testing for patterns that may indicate control gaps or risks.
Continuous Audit Monitoring: Another critical task will be to create repeatable data analytics processes that support continuous audit monitoring programs. This will enable the audit team to continuously assess control effectiveness and risk factors in an automated and efficient manner.
Competencies and Personal Qualities:
Success in this role will require more than just technical expertise. Here are some key competencies and personal qualities that will make you an ideal candidate:
- Strong Analytical Skills: You need to have the ability to understand complex datasets and extract meaningful insights.
- Attention to Detail: You must have an eye for identifying control gaps and anomalies within datasets.
- Good Presentation Skills: Being able to effectively communicate findings and insights to both technical and non-technical stakeholders is crucial.
- Common Sense & Presence of Mind: In addition to technical know-how, your ability to use practical judgment in a fast-paced environment will be essential.
- Teamwork: Working with internal audit teams will require excellent collaboration skills, and you should be able to contribute effectively in a team setting.
- Patience and Listening Skills: Being a good listener and showing patience in dealing with complex data and audit requirements will be vital for success in this role.
- Strong Liaisoning Abilities: You’ll need to be adept at working with various stakeholders across departments.
Additional Requirements:
The ideal candidate will also possess the following characteristics:
- Target-Oriented: You should be driven by goals and capable of planning and executing tasks with precision.
- Self-Starter: A proactive attitude is a must, as this role requires you to take initiative and lead data-driven projects.
Why This Role is Exciting:
This position allows you to merge technical data analytics expertise with strategic audit and risk functions, making it a critical role within the organization. You’ll have the opportunity to influence decision-making by providing actionable insights derived from large datasets.
Moreover, you’ll work in an environment where your analytical skills can shine, helping to safeguard the company by identifying risks and ensuring that control measures are both effective and efficient. With a focus on innovation, you’ll contribute to the continuous improvement of audit processes, driving automated solutions that allow for more accurate and timely evaluations.
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