22 Aug
|
Aspyra HR Services
|
Gurugram
22 Aug
Aspyra HR Services
Gurugram
Role & responsibilities:
Job Title: Lead Data & Risk Solution Analyst
Location Ggn location
Mode of work: 3 days WFO
Notice Immediate candidates who can join in Aug
Role Overview
We are looking for experienced Risk & Data professionals to support a large-scale transformation programme involving the migration of analytical EUCs / use cases from SAS to GCP.
The role will analyse individual use cases, understand the underlying business, Risk and data requirements, assess the existing GCP data landscape, and translate these requirements into engineering-ready specifications. The role will also identify opportunities to reuse and enhance existing Consumer Data Products (CDPs) across multiple use cases.
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Key Responsibilities
EUC & Business/Risk Analysis
Analyse SAS-based EUCs to understand their business purpose, Risk logic, calculations, outputs and data requirements.
Interpret SAS programs, ETL processes, macros, data flows and embedded business logic.
Decompose complex use cases into business rules, data elements,
calculations and dependencies.
Work with Risk SMEs and stakeholders to validate requirements and resolve ambiguities.
GCP Data Assessment
Assess the existing GCP data landscape to identify data elements available to support each use case.
Determine which data can be used directly, derived, combined or added to existing data products.
Understand data lineage, source systems, transformations, dependencies and data availability.
Identify data gaps and articulate requirements for additional data attributes or transformations.
Data Requirements & Product Definition
Translate use-case requirements into explicit data requirements and specifications.
Define required attributes, business definitions, derivations, transformations and dependencies.
Develop source-to-target mappings and document relevant data lineage.
Identify common data requirements across EUCs and recommend prospects to reuse or
📌 Lead Data Gurugram
🏢 Aspyra HR Services
📍 Gurugram