Data Analyst

PC Financial•Toronto, ON

8d•Onsite

About The Position

The objective of our Payment Decision Support, Customer Insights team is to provide reporting and analytics services to allow PC Financial to capitalize on diverse sources of data to improve the understanding of customer behaviors to drive profitability and improve customer experience. This role will be responsible for providing accurate, timely and actionable insights and reporting solutions to enable evidence-based decisions for the Marketing, Contact Center and AML teams.

Requirements

1-2 years’ experience in a similar role, preferably in financial services/banking domain
Working knowledge of relational databases and SQL data extraction and manipulation tools
Be curious to understand the business model and customer journey to extract insights.
Proactive approach to identifying opportunities and challenges in data-driven projects
Understanding of data warehouse, data mart concepts
Hands on with Python and SAS.
University degree in Computer Science/Engineering/Analytics/Mathematics/Statistics
Be curious to understand business problems.
Passion for telling a story through data.
Sound communication skills, ability to work independently and in a team
Proactive in seeking feedback, refining solutions, and anticipating challenges
Demonstration of problem-solving using combination of technical know-how, soft skills, and business acumen
Strong analytical and conceptual problem solver who can learn quickly
Able to plan and organize effectively

Nice To Haves

Modeling experience is a bonus.
Experience with BI tools and Cloud technology, such as Tableau and Google Cloud Platform.
Experience in any of the following domains would be considered an asset: financial services/banking, credit cards/payments, credit risk
Experience working in AML or Marketing campaigns is a bonus

Responsibilities

Be hands-on coding - extracting, preparing, and analyzing large data sets
Provide Data Analysis for Contact center, Marketing Campaigns or Anti-Money Laundering teams
Work with partners across the organization to provide data support on business initiatives
Apply advanced analytics and build models to understand our customers and discover business opportunities.
Interact with partners at various levels to perform data analysis and advanced analytics use-cases centered in Marketing Analytics.
Create business critical end-to-end reporting and data processes:
Perform ad-hoc analysis based on heterogeneous data sources to support business teams.
Closely adhere to legal guidelines regarding working with sensitive and confidential information