Lead Compliance Analyst(NCS/Job/ 1178)

Essential Duties & Responsibilities: (Detailed Description)

• Leads discussions with key stakeholders to ensure that key business questions and problems are well defined and understood
• Assists or leads the design, development and delivery of data sets/solutions to help meet business objectives
• Develop and maintain internal procedures and documentation that encompass the full lifecycle of data analytics related activities
• Understand business objectives for data analytics and ensure adherence to established business and data policies
• Analyze large volumes of data to facilitate the communication of insights and findings to key compliance stakeholders and business partners
• Partner with data custodians and process experts to ensure quality of data and definitions to support building reliable data models and analysis
• Lead culture of continuous improvement by enhancing existing databases, data collection methods, statistical methods, technology, procedures and training.
• Maintains awareness of industry best practices and pursues professional development opportunities through internal/external trainings and research and shares knowledge with team members
• Develops strong relationships with relevant members of the Information Technology (IT) department to leverage expertise and foster collaboration
• Act as a role model to the department and organization through performance, integrity and team approach
• Possesses strong communication and presentations skills, particularly in communicating and visualizing quantitative findings in a compelling and actionable manner for management
• Possesses and practically applies broad and advanced knowledge, skills, abilities, and understanding of disciplines within business application
• Demonstrates well-developed ability to anticipate impact and to proactively take initiative beyond direct responsibilities
• High volume or complex work is completed in a timely and thorough manner with minimal rework
• Well-developed ability to show discretion and maintain confidentiality
• Self-managed and motivated

What you need: (8 bullets points)

Education & Special Trainings:

• Undergraduate Degree required. Statistics, Mathematics, Computer Science or other relevant engineering/technical field preferred.

Qualifications & Experience:

• 7 - 12 years of relevant degreed experience required
• Proficient in common data programming languages (e.g. SQL, Python, R, DAX, Spark)
• Hands on working experience in following tools preferred - Azure Data Factory, Databricks, Analysis Services, Microsoft Flows
• Hands on experience in ML, ML Flow and Data Science concepts
• Good understanding of statistics and AI algorithms
• Proficient in business intelligence and analytics platforms (e.g. Power BI, Tableau, Alteryx)
• Experience with data modeling and database concepts