Data Analyst – Business & Data Mapping (Teradata FSLDM)

Algo App Digital Pvt. Ltd.; As Sudiyah; On-site; OMR 19,225 - 26,915; Full time

Job summary

Algo App Digital Pvt. Ltd. is seeking a Data Analyst specializing in Business and Data Mapping in Oman. This role requires a blend of data analysis, business requirements gathering, and data mapping expertise, particularly with Teradata FSLDM.

The candidate should have 5-10 years of experience in banking, proficiency in SQL, and a solid understanding of financial services data models. The position is full-time and offers opportunities to work on critical data integration projects.

Qualifications

• 5–10 years in data/business analysis within banking or financial services.
• Understanding of Teradata FSLDM or other financial services data models.
• Strong in creating Source-to-Target Mapping (STTM) documents.

Responsibilities

• Collaborate with business teams to gather and document requirements for reporting.
• Perform data profiling to assess source data quality and integrity.
• Develop Source-to-Target Mapping documents aligning source systems with FSLDM.

Skills

Data Mapping Skills

SQL Proficiency

Stakeholder Management

Analytical Thinking

Communication Skills

Education

Bachelor’s Degree in Computer Science, Information Technology, Electronics, or related field

Tools

Informatica

DataStage

Talend

ERwin

Jira

Confluence

Job description

Data Analyst – Business & Data Mapping (Teradata FSLDM)

Location

Type

Full-time

Experience

5 - 10 Yrs

Posted on December 9, 2025

About This Role

This role combines data analysis, business requirement gathering, and data mapping expertise for projects built on the Teradata Financial Services Logical Data Model (FSLDM). You will work across business stakeholders, data architects, and ETL teams to translate financial services requirements into accurate source-to-target mappings and analytics-ready datasets.

Essential Functions

• Business Analysis & Stakeholder Engagement
• Collaborate with business teams to gather, analyse, and document requirements for reporting, analytics, and regulatory needs.
• Conduct workshops to understand banking/financial services processes and map them to FSLDM subject areas.
• Create functional specifications, process flows, and business glossaries.
• Data Analysis & Profiling
• Perform data profiling to assess source data quality, completeness, and integrity.
• Identify data gaps and recommend remediation strategies.
• Analyse existing FSLDM structures to determine fitment for business requirements.
• Data Mapping & Transformation Rules
• Develop Source-to-Target Mapping (STTM) documents aligning source systems (e.g., BANCs, LOS, CLOS, MUREX) with FSLDM entities and attributes.
• Define data transformation logic, lookup references, and business rules for ETL developers.
• Ensure mappings comply with data governance, regulatory, and naming standards.
• FSLDM Model Understanding
• Leverage FSLDM’s logical/physical model to align business needs with enterprise data architecture.
• Identify required extensions or customizations to FSLDM.
• Support integration with analytical layers like FSAS.
• Testing & Validation
• Support SIT/UAT by validating data outputs against business rules and source data.
• Coordinate defect triage and resolution with development teams.
• Governance & Documentation
• Follow governance standards for metadata, change control, and versioning.

Qualifications

• Bachelor’s Degree in Computer Science, Information Technology, Electronics, or related field

Must Have

• 5–10 years in data/business analysis within banking or financial services; exposure to regulatory reporting (Basel, BCBS 239).
• FSLDM Knowledge – Understanding of Teradata FSLDM or other financial services data models.
• Data Mapping Skills – Strong in creating STTMs, transformation rules, and mapping documentation.
• Data Analysis – Proficient in SQL for data extraction, profiling, and validation (Teradata, Oracle, or similar).
• Business Analysis – Experience in requirement gathering, stakeholder management, and functional documentation.
• Ability to work with developers using Informatica, DataStage, or Talend.
• Tools – ERwin (or similar modeling tools), Excel, PowerPoint, Confluence, Jira.
• Soft Skills – Strong communication, presentation, and analytical thinking skills.
• Experience with metadata tools (IBM Information Governance Catalog or Informatica Enterprise Data Catalog (EDC) or erwin Data Intelligence (DI)).
• Exposure to data governance and quality frameworks.
• Knowledge of multiple source systems in banking (payments, trade finance, credit, GL).