Job Title: Manager, Advanced Analytics
Salary: Rs 8.7 Lakhs to 43.0 Lakhs
Company: TD Bank
Location: Toronto, ON
Qualifications: High school diploma
ABOUT TD BANK
TD Bank Canada, moreover called Toronto-Dominion Bank, stands as one of Canada’s biggest economic institutions, renowned for its large range of banking products and services. Established in 1855, TD Bank has grown to turn out to be an outstanding participant in the Canadian banking quarter, with a sturdy presence in North America. The bank offers a complete suite of monetary services together with private banking, wealth control, commercial banking, and funding banking. Known for its consumer-centric approach,
TD Bank emphasizes innovation and technology to beautify purchasers’ revel in and operational performance. The monetary group is dedicated to sustainability and community involvement, supporting numerous duties that promote environmental stewardship and social duty. With a focal point on the increase and patron delight, TD Bank keeps upholding its reputation as a depended-on economic accomplice for human beings, companies, and communities in the course of Canada and beyond.
Job Overview
The Manager of Advanced Analytics oversees the strategic implementation and optimization of data-pushed insights inside an organization. They lead a group in harnessing statistical methods, device mastering strategies, and predictive modeling to derive actionable intelligence. Responsibilities consist of defining analytics desires, dealing with facts pipelines, ensuring records are pleasant, and providing findings to stakeholders. The role demands strong management, technical proficiency in analytics equipment like Python, R, or SQL, and a deep know-how of enterprise targets to force knowledgeable choice-making. The Manager of Advanced Analytics plays a pivotal function in shaping organizational approach through the effective use of information and analytical methodologies.
Role and Responsibilities of a Manager, Advanced Analytics:
Leadership and Team Management:
- As a supervisor, you’re accountable for leading a crew of analysts and statistics scientists. This consists of presentingroutese, mentoring, and making sure the group is aligned with the business enterprise’s goals and priorities.
- Facilitating collaboration inside the crew and throughout departments to promote a records-driven tradition and foster innovation in analytics answers.
Strategic Planning and Implementation:
- Developing and executing techniques to effectively use facts analytics in achieving commercial enterprise goals. This includes expertise in the business enterprise’s wishes and translating them into actionable analytics tasks.
- Collaborating with senior management and stakeholders to outline analytics desires, prioritize projects, and allocate resources hence.
Data Analysis and Insight Generation:
- Overseeing the manner of records collection, cleansing, and evaluation to extract meaningful insights. This may alsoincluden running with massive datasets from diverse sources and making use of superior analytical techniques.
- Utilizing statistical techniques, system studying algorithms, and different quantitative techniques to discover patterns, developments, and correlations that drive commercial enterprise selections.
Operational Optimization and Decision Support:
- Using analytical findings to optimize enterprise approaches, improve efficiency, and beautify selection-making through exceptional features together with advertising, operations, finance, and customer support.
- Providing actionable pointers based totally on statistics-pushed insights to stakeholders and senior management to aid strategic and operational selections.
Data Governance and Quality Assurance:
- Ensuring the integrity, accuracy, and reliability of statistics used for evaluation via sturdy statistics governance practices and high-quality warranty strategies.
- Implementing records privateness and security features to protect sensitive statistics and follow regulatory necessities. (Manager, Advanced Analytics)
Continuous Learning and Innovation:
- Staying up to date with enterprise traits, emerging technology, and fine practices in analytics and data technology.
- Encouraging a lifestyle of non-stop studying, experimentation, and innovation within the group to drive improvements in analytical abilities and methodologies.
Qualifications and Skills of a Manager, Advanced Analytics:
To excel within the position of Manager, Advanced Analytics, candidates typically own a combination of the following qualifications and talents:
Educational Background:
- A bachelor’s diploma in a quantitative area together with Statistics, Mathematics, Computer Science, Economics, Engineering, orana associated discipline is regularly required. A grasp’s degree or PhD in Data Science, Analytics, or a similar field is particularly appropriate.
Technical Proficiency:
- Strong talent in statistics analytics tools and programming languages together with Python, R, SQL, and/or SAS. Experience with statistics visualization equipment e.g.., Tableau, Power BI) is also useful.
- Familiarity with large records technologies e.g.., Hadoop, Spark) and cloud systems e.g.., AWS, Azure) for coping with and studying massive datasets.(Manager, Advanced Analytics)
Analytical Skills:
- Advanced information of statistical techniques, system-gaining knowledge of algorithms, and predictive modeling. Ability to apply these techniques to remedy complex commercial enterprise troubles and generate actionable insights.
Business Acumen:
- A deep know-how of business operations, industry dynamics, and key performance indicators (KPIs) applicable to the agency’s targets.
- Ability to align analytics initiatives with strategic dreams and force business impact through facts-pushed choice-making.
Problem-Solving Orientation:
- Strong hassle-solving capabilities with a dependent and analytical technique to address demanding situations and pick out opportunities for technique development and optimization.
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