Job
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 Dax, R, Sql, Python, Spark
