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Tier-1 brand, mid-level generalist data role, and Mumbai metro location increase candidate competition.
Core banking and campaign segmentation experience matter, though SQL/Dataiku skills are moderately transferable.
Explicit 3–4 years, mandatory SQL and Dataiku experience, and banking domain preference raise filter strictness.
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Support development, execution, and monitoring of marketing campaigns in Dataiku for banking products.
Write and run complex SQL queries for audience segmentation applying inclusion and exclusion criteria to ensure accurate targeting.
Collaborate with business stakeholders and data engineering teams to gather requirements, conduct ad-hoc data analyses, and maintain campaign documentation.
3-4 years of experience as 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.
Experience Required: 3-4 years; Notice period: Not explicitly mentioned.
Experienced with end-to-end campaign lifecycle and segmentation in banking or financial services.
Able to manage ad-hoc data requests and provide structured insights with minimal supervision.
Familiarity with data tools like Snowflake, Adobe Experience Platform, and Python is advantageous but not mandatory.