Sr Mgr, Analytics & Insights Job Description Template
Our company is looking for a Sr Mgr, Analytics & Insights to join our team.
Responsibilities:
- Train and guide the analytics team to design and execute suitable analytical solutions in a timely fashion to support business decisions;
- Liaise with business stakeholders to ensure timely and accurate deliverables;
- Foster an environment and culture that encourages productivity, innovation, process improvement, teamwork, and a high level of professionalism;
- Lead the effort in identifying and applying various analytics solutions to support Wealth data & analytics transformation agenda.
Requirements:
- At least 5+ years of relevant experience in data, analytics and business insights in the Financial Services industry;
- Experienced people leader with demonstrated experience in identifying and growing talent;
- Disciplined with a proven track record of delivering results and executing with excellence;
- Detail oriented with excellent organization skills and ability to effectively manage work under tight timelines and changing priorities;
- Superior communication skills with proven ability to communicate quantitative/ qualitative information and key messages in a clear and compelling way;
- Understand and experienced in modern analytical solutions, e.g. machine learning, open source analytical tools, distributional processing system;
- Comfortable leading through transformational change and recognized as a champion for continuous improvement;
- Experience in Consulting service or Wealth/Asset Management is considered an asset;
- Ten (10) or more years relevant experience;
- Experience in Tableau and other visualization tools is considered an asset;
- Experience in distributional processing environment (e.g. Hadoop) is an asset;
- Experienced and skilled with various analytics methodologies, such as PCA, clustering, classification tree, Regression, Gradient Boosting;
- Experienced with data engineering practice and data warehouse;
- Undergraduate degree or technical certificate;
- Experienced and skilled with various tools for data wrangling/manipulation, statistical analysis, modeling, such as SAS, Python, R, PySpark, HIVE.