System Analyst VIYA

Accenture

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Job Summary

Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Strategy ETL Informatica Oracle Teradata Qlik R Pig Cloudera Sas HBase Hive Impala Spark NoSQL Openshift Kubernetes Hadoop Python

Job Description

Collaborate with business and IT to analyze, elicit and review business requirements.

Participate and contribute to technical solutioning and architecture reviews with architecture team.

Define functional and non-functional requirements and perform impact analysis assessment with the vendor.

Perform detailed estimation of projects and change requests.

Facilitate communication between vendor, project team, business stakeholders and internal IT team.

Conduct FSD review / Write and review user stories with Functional Business Analyst and Business Unit for sign-off.

Review interface design specifications created by development team.

Review test strategy and functional test cases created by testing team.

Support project and delivery team all throughout the project implementation.

Monitor and manage risks /issues related to requirements and scope creep.

Proven working experience of 5-15 years as a system analyst, with experience in credit and portfolio management projects in retail banking industry.

Functional knowledge of retail banking & business processes in one or more of the following areas:

Hands on experience in projects to develop and implement credit scorecards and accompanying strategies

Experience of working on platform provided by SAS for credit and portfolio management (Intelligent Decisioning).

Understanding of cards, collections, core banking and campaign management systems and how they integrate recommendations from credit and portfolio management platforms

Exposure to Data Warehouse & Big data tools for Information Management in one or more of the following areas:

ETL & Data governance tools - Informatica PC, DQ, MM, Teradata GCFR, MDM

RDBMS - Teradata, Oracle, NoSQL

Reporting - MS Power BI, Qlik, OBIEE, Tableau, BO

Cloudera administration suite

Knowledge of Hadoop languages & tools – Spark, Python, R, Pig, Hue, Impala, Hive, Hbase, Informatica IDL would be an advantage.

Knowledge of platforms such as Kubernetes or Openshift for deploying container-based workload would be an advantage.

Experience in cloud-based deployments would be an advantage.

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