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Clara Analytics Team Lead
3 months ago
About the Company: KPMG is a premier professional services organization dedicated to the growth and development of its workforce, continually enhancing its industry-leading capabilities through advanced cloud technologies and strategic software partnerships in Analytics, Automation, Process Mining & AI.
Job Overview:
- Oversee the implementation of data analytics and technological solutions for external Financial Services Audit projects.
- Collaborate with various entities to gather, prepare, and process data from multiple sources.
- Transform analytics and technology solutions into actionable insights to address intricate challenges.
- Report to management on a select portfolio of initiatives.
- Assist managers by leading diverse teams with a focus on results-driven methodologies.
- Conduct initial quality assurance checks on data analytics outputs to ensure compliance with quality benchmarks.
- Foster collaborative relationships with stakeholders.
- Encourage a culture of mentorship and professional growth within the team.
- Technical Proficiency: Employ firm-approved audit tools and innovative technological solutions.
- Engagement Oversight: Effectively manage and execute audit engagements.
- Audit Result Evaluation: Assess evidence to confirm that audit objectives have been achieved.
- Documentation: Complete audit records demonstrating a commitment to quality.
- Embrace and instill a culture of high challenge and high support.
- Lead and promote a coaching culture within the team.
- Act in the public interest, serving the needs of audited entities and society.
- Foster inclusivity and collaborate with other teams in an integrated manner.
- Proficient in utilizing Alteryx and managing data analytics initiatives.
- Experience with visualization tools such as PowerBI, Celonis, or Tableau.
- Background in a Big 4 professional services environment.
- Skilled in identifying root causes of issues and providing impactful recommendations.
- Exceptional interpersonal skills for effective communication with stakeholders.
- Familiarity with programming languages such as SQL, Python, or ACL is advantageous.