Intermediate Campaign Developer/Builder to develop analytical solutions using Python/SQL for our Major Banking Client -26660

Intermediate Campaign Developer/Builder to develop analytical solutions using Python/SQL for our Major Banking Client -26660
Duration: 06/23/2022 to 12/23/2022, high chance of extension
Location: Hybrid ( 1 day a week)– Downtown Toronto
Hours: 37.5

Job Description:
The successful candidate will be part of a dynamic, innovative team that supports the Marketing Analytics & Product functions within our Banking Client's Canadian Bank Analytics group. This individual will develop analytical solutions to help solve a wide array of business problems, including acquisition, migration and engagement strategies across our customer base.

• Design and integrate customer decisioning, segmentations and recommendation/decision logic to help elevate our customer’s experiences across channels and move to a personalized 1:1 customer journey
• Synthesize data across multiple platforms to identify trends and deliver key insights and business recommendations around a customer-first approach to driving engagement and results across our marketing channels and campaigns, to then bringing these recommendations to market through execution and measurement
• Act as an analytics generalist, provide subject matter expertise on customer contact, advanced analytics, data driven design and segmentation and the use of statistical analysis and machine learning to deliver customer communication
• Ability to validate and measure effectiveness of segmentation and target vs control strategies to continually make ongoing changes and improvements
• Supporting key information technology initiatives, such as enhancements in single view of customer, customer data warehouse, CRM and campaign management tools

Must have:

• 4 years experience as a Campaign Developer, Campaign Builder or related experience needed within a banking or retail industry
• CRM experience working with multiple business partners and delivery timelines
• 4 years of hands-on experience with SAS and Python
• 4 years of Experience with relational databases and solid SQL skills (SQL Server, DB2, MySQL)
• 4 years of experience with Bash/Unix Shell Scripts with Python/Docker used for automating tasks

Nice to have:

• Familiar with Hadoop Big Data ecosystem (Hive, Spark, Pig, Sqoop) an asset.
• Past experience in the financial sector or campaign analytics an asset.
• Demonstrated experience developing and delivering marketing communications in a multi-channel marketing environment an asset

Interview:

• 1 interview with HM video conference, 45 minutes (Technical / Behavior questions)