Manager, Analytics

: 264569 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. About the Role: The Business Analytics Channels & Servicing Team partners with stakeholders in channel management and transformation to deliver a comprehensive view of customer sales and service touchpoints across all channels. Our goal is to understand how interactions throughout key journeys, for example, onboarding, investment management, etc. impact overall customer experience, retention, and cross-channel engagement. The Primary function of this role is to support our cross-channel partners part by prioritizing/managing projects through the project life cycle and delivering valuable analytical outputs (e.g. dashboards, case studies, models, etc.) to business partners This role is a mix of technical and business/communication skills. It requires the ability to perform complex analysis and ensure it ties into business needs that can be easily communicated to non-technical partners. Is this role right for you? In this role, you will: Analytics Project Management In this role, the incumbent will work with business partners, understand their business problems, create analytics solutions, and present information back to them. Manage projects through the full project lifecycle, including Scope out projects by creating requirements, timelines, project scope, etc. Create analytical outputs (new data sets, dashboards, actionable insights, deep dive analytics) that will help support business growth and development Create artifacts, such as project plans, documentation, data lineage, metadata, metrics definitions etc. Present analytical outputs, communicate findings, provide recommendations for actionable insights, etc. to business partners and key stakeholders Make cross functional connections between data requests from diverse teams, to streamline requests and create synergies across teams Stakeholder Management Act as a SME with our Channel partners (Digital, Branch, Call Centre, ABM, etc.) and other key stakeholders that proactively looks for solutions to business problems Present findings and recommendations to Sr. Leadership in regularly scheduled and ad hoc meetings, using compelling visuals, slides and storytelling, to secure buy in for ideas, proposals and recommendations. Engage in regular meetings with business lines and other functional stakeholders to understand their needs and priorities, to proactively suggest data analysis or visualizations to help grow their businesses. Collaborate with other Data, Technology, and Analytics partners Promote Data Literacy with partners and key stakeholders to raise the collective understanding of data, tools, etc. available to them Champion data-driven decision-making General Proactively suggest project ideas, data process improvements, or value opportunities Investigating and become an expert in available data sources of data, transform and determine how they can be interpreted for analysis. Identifying any gaps and develop plan of action to address. Develop and produce reusable data assets using business acumen, statistical, and visualization techniques Conduct analysis using descriptive or advanced techniques on massive volumes of structured and unstructured data to create actionable insights Collaborate with business stakeholders and technical partners to establish trends, understand performance, identify opportunities for growth, and provide actionable insights Develop and produce analyses, reports, and insights for partners that help drive tactical, operation, and/or strategic decision making in support of business goals Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have: University Education in Business, Computer Science, Computer/Software Engineering, Mathematics, or equivalent experience Project Management skills/experience Communication Skills (oral and written) End to End Analytics Experience: explore, clean, aggregate, and consolidate data; create analytical outputs; synthesize information in easy-to-understand formats; communicate/present findings to business partners Experience querying and working with large data sets, ideally within an Enterprise Data Lake, Enterprise Data Warehouse, or Cloud environment Ability to manage the planning, processes, and coordination of multiple projects Data Visualization Experience: for example, Tableau, PowerBI, Qlickview, Domo, etc. Programming Language: at least one of SQL, Python, R, SAS Experience in Banking/Financial Services Model Creation What's in it for you? Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employees to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans. Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements. Upskilling through online courses, cross-functional development opportunities, and tuition assistance. Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one. Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, Humans of Digital and much more!

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