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Tier-1 brand, metro location, and mid-level experience create high applicant competition.
Banking domain preference and campaign workflow expertise moderately limit cross-industry transferability.
Mandatory 3–5 years, SQL and Dataiku experience, plus banking domain knowledge make filters strict.
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Support development, execution, and analysis of marketing campaigns using Dataiku in banking products.
Write and run complex SQL queries for audience extraction applying inclusion and exclusion criteria for targeted client communication.
Conduct ad-hoc data investigations and maintain clear documentation on campaign workflows and audience logic.
3-5 years experience as a Data Analyst, preferably in Core Banking or Financial Services.
Strong proficiency in SQL and experience with Dataiku for campaign workflow development and execution.
Bachelor’s degree in computer science, Information Systems, Marketing Analytics, or related field.
Work Experience Required: 3-5 years in data analysis; Notice period: Not explicitly mentioned in the JD.
Experienced in managing campaign lifecycle and customer segmentation in financial services domain.
Ability to collaborate with business stakeholders and data engineering teams for campaign planning and execution.
Familiarity or exposure to cloud data platforms like Snowflake, Adobe Experience Platform (AEP), and basic Python for automation is advantageous.