Overview
Hybrid
Depends on Experience
Full Time
Able to Provide Sponsorship
Skills
Data Analytics
Data Profiling
Source to Target (S2T) Mapping
System of Record (SOR) Analysis
Data Quality (DQ) Rules
SQL
NoSQL
HiveQL
Oracle SQL
DBeaver
Hive
Python
Google Cloud Platform (GCP)
BigQuery
Machine Learning
Data Automation
Data Visualization
US Regulatory Reporting (Y9C
Y14
Y15
2052a)
Relational Databases
Hadoop
Cornerstone
MS Excel
Power Query
Data Architecture Documentation
Data Standardization
Data Migration
Agile Methodology
Product Management
Critical Thinking
Problem Solving
Communication Skills
Presentation Skills
Collaboration Skills
Job Details
- Experience in data analytics, data profiling, Source to Target (S2T) data mapping, analyzing the System of Record (SOR) data and its Data Quality (DQ) rules to identify data issues in SORs
- Strong SQL / NoSQL and data analysis experience, able to write / understand complex SQL, HiveQL, with hands-on Oracle SQL, DBeaver and Hive experience
- Experience with Python, Google Cloud, Big Query, Machine Learning and Data Automation / Visualization techniques
- Knowledge of US Regulatory Reports (Y9C, Y14, Y15, 2052a, amongst others), and general understanding of the banking products
- Strong understanding of relational database concepts and experience working in a big data environment (Hadoop / Cornerstone) preferred
- Experience of MS Excel and Power Query
- Document and understand core components of solution architecture including data patterns, data-related capabilities, and standardization and conformance of disparate datasets.
- Critical thinking and complex problem-solving skills (data application)
- Product Management, data migration, data analytics working experience is a plus
- Experienced in Agile delivery concepts or other project management methodologies
- Excellent Communication Skills; Verbal, Written
- Excellent relationship building, presentation and collaboration skills
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