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System Analyst

TECHNOPALS PTE. LTD.

Singapore

On-site

SGD 70,000 - 90,000

Full time

Today
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Job summary

An IT consulting firm in Singapore is seeking a skilled Data Analyst to perform in-depth analyses and implement effective data solutions. The ideal candidate should possess strong technical skills, particularly in Hadoop technologies and data warehousing. This role involves engaging with stakeholders and ensuring alignment between business objectives and technical implementations. Competitive package offered and a dynamic work environment.

Qualifications

  • Experience in Hadoop Technologies.
  • Proficient in writing and managing BRDs.
  • Strong experience in data warehouse and data mart design and implementation.

Responsibilities

  • Conduct in-depth analysis of retail banking systems and processes.
  • Lead the end-to-end delivery of data mart solutions.
  • Communicate effectively with cross-functional teams.
  • Design data selection rules and map current state data.
  • Collaborate with data engineering teams.
  • Lead the end-to-end delivery of data mart solutions.

Skills

Hadoop Technologies
Hive
SQL
Oracle
DB2
JavaScript
Python
REST APIs
JSON
XML
Data Mapping
Data Modeling
Data Profiling
Agile
Scrum
Jira
Confluence
Job description
Key Responsibilities
Business & Functional Analysis
  • Conduct in-depth analysis of retail banking systems and processes.
  • Develop and maintain BRD and FSD aligned with business objectives.
  • Perform Gap Analysis to identify discrepancies between current and target states and recommend improvements.
Data Mapping, Modeling & Profiling
  • Design data selection rules and map current state data for downstream processing.
  • Perform data profiling, cleansing, and validation to ensure accurate data mapping and enhance usability for end-users.
  • Apply data modeling techniques to define logical and physical data structures that support scalable and efficient data solutions.
Data Warehouse & Data Mart Implementation
  • Proven track record in implementing data warehouse and data mart solutions to support enterprise data analytics and reporting.
  • Collaborate with data engineering teams to define data models, ETL rules, and integration strategies.
Data Mart-Centric Delivery
  • Lead the end-to-end delivery of data mart solutions, from requirements gathering and design to deployment and post-implementation support.
  • Drive roadmap planning and backlog grooming for data mart enhancements and new builds.
  • Translate business needs into detailed Functional specifications.
  • Ensure seamless integration of data marts with upstream and downstream systems to support business intelligence and analytics.
Stakeholder Engagement
  • Communicate effectively with cross-functional teams and business stakeholders.
  • Ensure alignment between business goals and technical solutions.
Required Skills & Experience
Technical Skills
  • Experience in Hadoop Technologies
  • Databases: Hive
  • SQL
  • Oracle
  • DB2
  • Languages: JavaScript
  • Python
  • Web Technologies: REST APIs, JSON, XML
  • Data Analysis: Data Mapping, Modeling, Profiling (SQL-based), Rule Definitions
  • Data Warehousing: Strong experience in data warehouse and data mart design and implementation
Methodologies & Tools
  • Agile, Scrum, Jira, Confluence
  • SDM 5 Methodologies – Familiarity with the Software Delivery Methodology (SDM 5) framework for structured project execution and governance.
Documentation

Proficient in writing and managing BRDs

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