:
Strong banking/domain knowledge is valuable, but hands-on data analysis and modelling capability is the key discriminator.
Demonstrable SQL proficiency for data profiling, reconciliation, investigation, and root-cause analysis.
Able to translate business and data requirements into BRDs/FRDs, epics, capabilities, features, user stories and transparent acceptance criteria.
Strong conceptual and logical data modelling skills, including entities, relationships, and business definitions.
Experience with source-to-target mapping and transformation rules across complex data landscapes.

Desired Skills -
Practical experience defining Data Quality rules, identifying exceptions, and driving remediation
Robust understanding of data lineage and authoritative source identification.
Evidence of working hands-on with Data Products, shaping the underlying data rather than primarily managing the backlog.
Comfortable with backlog refinement, feature mapping, PI/Agile ceremonies, Definition of Ready/Done, testing and defect triage.

Exposure to contemporary data platforms such as Snowflake / Databricks / cloud data ecosystems is highly desirable

📌 Lead/ Senior Senior Data Business Analyst – Data Modelling & Sql Exp: 8+ Years Maharashtra (India)
🏢 Atyeti
📍 India