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Senior Associate - Data Analytics

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The Senior Associate will execute big data analytics, visualization and automation for audits, key risk indicators (KRI) projects and process improvements.

Responsibilities

The Senior Associate supports the Data Analytics team by proposing relevant analytics procedures and tools, executing the analytics, developing dashboards and building AI tools for audits, key risk indicators and automation initiatives.

The Responsibilities Include –

  • Understanding audit or project objectives and assist in preparing the analytics execution plan and timelines.
  • Working with Corporate Functions/Business Units/IA teams for gathering requirements for KRI projects.
  • Working with IA audit teams to understand the analytics requirements for audit engagements.
  • To determine appropriate analytics tool or platform, design the visuals and independently build pilot or prototype to meet project objectives.
  • Build AI and Gen AI tools to achieve process efficiencies.
  • Establishing and maintaining relationships with all key stakeholders of Internal Audit.
  • Taking an active role in developing and driving Internal Audit Data Analytics quality, coaching audit team members on analytics tools and knowledge sharing to enhance the value provided to Internal Audit stakeholders.
  • Ensuring timely and accurate time tracking.
  • Continuously focusing on self-development by attending trainings, seminars and acquiring relevant certifications.

Required Skills And Experience

  • Bachelor’s degree, preferably in Computer Science, Data Analytics, Statistics, Engineering or Business Management.
  • At least 3 years of experience in data analytics, visualization and automation.
  • Proficient in data management tools for example, Access/Excel, VBA, ACL, IDEA, SQL, SPSS, R, Python etc.
  • Expertise in visualization tools like Qlik View, Power BI, Tableau etc.
  • Experience in Machine Learning and AI/Gen AI tools is preferred.
  • Basic understanding of financial processes (Accounts payable, Payroll, Travel and Expenses etc.) is desirable.
  • Team person, keen learner, motivated.
  • Excellent verbal and written communication.
  • Highest professional standards, integrity and ethical behavior.

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