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High due to Tier-1 brand, mid-level data role, metro location, and in-demand SQL/Dataiku skills.
Medium because SQL/Dataiku skills transfer broadly, but banking campaign segmentation and AEP knowledge limit portability.
High because JD mandates 6–9 years, plus mandatory SQL, Dataiku, and financial services experience.
Lead data analysis and execution support for marketing campaigns using Dataiku and SQL.
Develop and maintain audience segmentation logic and campaign workflows for core banking products.
Conduct ad-hoc data investigations and ensure accurate targeting for client communications.
6–9 years experience as a Data Analyst, preferably in Core Banking or Financial Services.
Strong proficiency in SQL and experience using Dataiku for campaign execution.
Bachelor’s degree in computer science, Information Systems, Marketing Analytics, or related field.
Work Experience Required: 6–9 years as Data Analyst; Notice period: Not explicitly mentioned.
Experienced in end-to-end marketing campaign lifecycle and segmentation within financial services.
Able to collaborate effectively with business stakeholders and data engineering teams.
Familiarity with cloud data platforms (Snowflake), Adobe Experience Platform, and basic Python is advantageous but not mandatory.