applicants
Retail Analytics Team Lead
at Human Resources in Vancouver
Our client is a global company and a leader in their industry. They are seeking a senior Retail Analytics Team Lead – your class-leading data and statistical analysis capabilities will work with the richest consumer-based datasets in the world while addressing some of the most fundamental and complex problems in retail, manufacturing, financial services and consumer goods industries. Your expertise will combine sophisticated data analysis with a deep understanding of business and marketing objectives – to offer clients the most powerful customer insights available in the marketplace. Your ability to sift through enormous volumes of data to pick out the ‘nuggets’ that drive profitable marketing decisions will be paramount. Their objective is to help their clients win and keep their competitive edge in a fiercely contested marketplace. This is a world-class organization that offers excellent compensation, bonus and benefits.
Responsibilities:
• Conduct custom research studies in their entirety, from project inception and design through preparation and the delivery of reports and presentations.
• Provide input to and assist in the development of client proposals.
• Query consumer level databases and other data sources with the use of database management software (SAS).
• Distill insights from the analysis to offer business recommendations by identifying meaningful consumer indicators and trends.
• Ensure your work is disciplined and that you adhere to our quality control procedures.
• Support the development and launch of new products and services.
• Present your analysis and recommendations to our clients.
• Build relationships with key internal and external clients.
Experience and Skills
• Bachelor’s Degree in Statistics, Computer Science, Engineering, Psychology, Marketing, or Geography.
• A Masters degree is preferred, but not required.
• Experience in Retail or Consumer Packaged Goods (CPG) preferred.
• Knowledge of analytical techniques. Specifically working knowledge of concepts such as, clustering, segmentation and time-series (i.e. regression, forecasting).
• Must have the ability to query large data sets using database management software (i.e. SQL) and database mining software (i.e. SAS).
• Skilled at navigating relational databases.
• Comfortable working in LINUX operating environments.
• Proficient with Microsoft Office (i.e. PowerPoint, Excel, Word, etc.).
If you are interested in this position, please quote the reference ID J-PU12017 and send your resume (as a Word document attachment) to jobs@recruiters.com
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