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Senior Analyst Loyalty Analytics
4 months ago
Role DescriptionThe Sr. Analyst, Loyalty Analytics is responsible for analytics and insight that support the ongoing enhancement and performance of the loyalty program by a pharmaceutical grocery retailer and support on company’s SaaS products performance measurement. The role reports to the Manager, Loyalty and Retail Analytics, Analytics and Optimization.The ideal candidate has hands-on expertise in SAS or Python (data manipulation, analysis, working with large datasets), database data structures (SQL, Snowflake), advanced analytics (predictive modeling and segmentation), design of reports and other business intelligence tools, campaign analysis (campaign effectiveness, ROI), and the ability to effectively multitask on multiple deliverables.This role is a unique opportunity to join a dynamic team of analytical professionals that partners up with Business and Technology to design innovative, value-adding customer engagement solutions for our clients. The role is a great fit for motivated individuals seeking to further develop their expertise in the area of retail, complex customer behaviour and loyalty program analytics. Primary Responsibilities Create and develop custom analytics solutions that add strategic value to the understanding of customer behavior, and campaign performance.Understand the company's SaaS products to provide effective support in test measurement methodology, assist in program performance reviews as needed, and share valuable insights to drive continuous improvement.Support the client in determining targeting criteria for the promotional campaign and then providing the list.Design, develop and create documentation for standard and custom reports. Support adhoc analysis and data pulls requested by the client, including, but not limited to, requirements gathering, custom query design (in SAS, Python and / or SQL), data integrity checks and manipulation of large volumes of data.Communicate findings to peers within Analytics team, and, on occasions, to internal and / or external stakeholders.Comply to process standardization, creation and automation.Contribute to the overall operations and culture of the company, fostering our values and policies.Capability Requirements – education, skills & experienceGraduate degree in Statistics, Mathematics, or other quantitative fields; supplementary education in Business is a bonus3+ years of analytical and data mining experience, preferably with some exposure to campaign analytics Solid understanding of the structure of relational databasesAbility to create complex custom queries using SAS, Python, SQL or other data-mining tools based on multiple data sourcesAttention to detail, high aptitude for problem solving and a natural interest in understanding and explaining consumer behavior / businessAbility to develop analytical frameworks and generate / communicate business insight Experience in developing business intelligence tools (e.g. Tableau, Pentaho) is a bonus but not required Good communication skills
