Data Analytics Consultant - Audit Services

3 - 5 years

10.0 - 14.0 Lacs P.A.

Bengaluru

Posted:2 months ago| Platform: Naukri logo

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Skills Required

Computer scienceManager Internal AuditAssuranceUsageCodingData analyticsQlikViewBusiness intelligenceFinancial servicesSQL

Work Mode

Work from Office

Job Type

Full Time

Job Description

Develop an understanding of Audit Services Charter, Policy, and Methodology along with Business Units and associated risks. Collaborate with DA team members to help translate business needs into insightful digital solutions. Work collaboratively with audit and DA teams to deliver ad hoc and customized analytics in support of global internal audits. Encourage the usage of data analytics on audits within the region, working with partners to apply data analytics inside audit engagements. Communicate analytics results and insights to end users in non - technical terminology. Develop sophisticated business intelligence, allowing users to unlock insights across disparate data sources. Support the implementation of complete Big Data solutions including data acquisition, storage, transformation, and analysis. Exhibit attention to detail, ensuring data completeness and accuracy throughout the coding process. Demonstrate an innovative mindset, identifying opportunities to generate increased coverage and assurance throughout the Internal Audit process. Qualifications: Degree in Accounting, Finance, Economics, Computer Science - or equivalent work experience. 3-5 prior years of experience working with data analytics solutions such as SQL, Tableau, Power BI, QlikView, Alteryx, ACL or equivalent. Prior Internal Audit experience is preferred, though not required. Demonstrated ability to innovative and solve real world business problems. The ability to articulate complex data insights to both technical and non-technical audiences. Self-discipline and the ability to balance multiple priorities in a deadline-driven environment. Ability to work flexibly in a hybrid environment (3 days office, 2 days remote), on a global team with frequent collaboration across time zones.

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