Data Analyst
London Drugs Limited
Job Description
Job Description Job Description Data Analyst Location: Richmond, BC (Head Office) Employment Type: Full Time London Drugs is a leading Canadian retailer known for innovation, strong community values, and exceptional customer experiences. With a proud promote from within culture, we offer an inclusive workplace where people are supported, challenged, and empowered to build meaningful careers. About the Role As Data Analyst, you will support analytical projects, develop dashboards, and deliver insights that drive business performance across the Merchandise Services organization.
Reporting to the Manager, Master Data Management, this role partners closely with cross functional teams to analyze data, automate reporting, and translate insights into actionable recommendations across Planning, Pricing, Space, and Promotional functions. This is a foundational analytics role for someone who enjoys working with data end to endextracting, transforming, visualizing, and communicating insights that support smarter business decisions. What Youll Do Data Extraction & Analysis Extract data from multiple systems using SQL and other tools to support analytical requests Analyze data to identify trends, patterns, and opportunities across merchandise services functions Perform data validation and quality checks to ensure accuracy and reliability Clean, transform, and prepare raw data into analysis ready datasets Support ad hoc analytical requests from the Manager, Master Data Management and functional leaders Dashboard & Visualization Development Build and maintain dashboards and visualizations using business intelligence tools Develop automated reporting solutions that improve timeliness and reduce manual effort Create clear, compelling visualizations that communicate insights effectively Partner with functional teams to understand reporting needs and preferences Ensure ongoing dashboard accuracy through regular refreshes and validation Analytical Project Support Support analytical initiatives such as category performance reviews, pricing analysis, and promotional effectiveness studies Gather data and conduct research to support business cases and strategic decisions Build analytical models and tools to improve efficiency and consistency of recurring analyses Document methodologies, assumptions, and data sources for transparency and reuse Prepare summaries and presentations of analytical findings for stakeholders Cross Functional Analytical Support Partner with Planning, Pricing, Space, and other teams to deliver analytical support Translate business questions into analytical approaches and data requirements Conduct cross functional analyses that integrate data from multiple sources Communicate insights clearly to stakeholders with varying levels of analytical expertise Identify data gaps and collaborate with IT and Master Data Management to address them Platform Development & Automation Support implementation and optimization of analytics platforms and tools Build automated workflows for data extraction, transformation, and reporting Develop reusable templates and analytical frameworks Test and validate analytical processes to ensure accuracy and reliability Document technical processes and create user guides to support self service analytics What You Bring Required Experience Strong proficiency in SQL for data extraction, transformation, and analysis Advanced Excel skills, including pivot tables, formulas, and basic data modeling Experience with business intelligence and data visualization tools Strong analytical and problem solving skills with attention to detail Effective communication skills with the ability to translate data into actionable insights Ability to manage multiple priorities and meet deadlines in a fast paced environment Preferred Experience Experience working with retail data such as sales, inventory, pricing, or promotions Familiarity with advanced analytical platforms or tools Experience with statistical software or programming languages Knowledge of data warehousing concepts and cloud based analytics platforms Experience supporting cross functional analytical initiatives Why Join London Drugs?
Inclusive Culture respectful, collaborative, and supportive Career Growth strong promote from within philosophy and development opportunities Comprehensive Benefits, including: Medical, dental, prescription drug, and vision coverage Company matched RRSP Employee discount program Health & wellness initiatives Training, education programs, and scholarships Employee & Family Assistance Program Starting compensation will fall within the posted salary range and may vary based on experience, knowledge, and education. Apply Today If youre curious, analytical, and motivated to turn data into insights that influence real business decisions, wed love to hear from you. London Drugs is an equal opportunity employer dedicated to building an inclusive and diverse workforce.
We are committed to building a company that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be. We will provide accommodations during the recruitment process upon request.
The above statements are intended to describe the general nature and level of work applicable to this position and are not intended to be an exhaustive list of all responsibilities, duties and skills required. Be advised, London Drugs DOES NOT use third party recruitment services. London Drugs may collect, use, and/or disclose your personal information (including the information in this application) where it is reasonable for establishing, managing or terminating an employment relationship.
This includes the use or disclosure of your personal information to persons inside or external to our organization, for the purpose of checking references or gathering other information to support an assessment of your candidacy. To protect yourself, do not respond to unsolicited job offers from individuals or e-mail addresses, and never disclose any sensitive details about your identity (including personal or financial) to anyone you do not know or trust or on any unverified website, or website you do not trust.