Senior Data analyst or Data Modeler

Sigma Allied Services; Hyderabad, Chennai District, Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Sigma Allied Services is seeking a Senior Data Analyst/Data Modeler with 5+ years of experience to model large data sets and establish robust data governance. The role requires expertise in Erwin or Hackolade, data quality control, and AML/fraud domain knowledge. Strong collaboration with business teams and solid documentation are essential.

Location options include Hyderabad, Bengaluru, or Chennai with on-site work; immediate joiner preferred and up to a 15-day notice period may apply.

Qualifications

• Experience in data modeling for large datasets using tools like Erwin or Hackolade.
• Data governance and quality: define rules and controls on DBs and pipelines (Collibra).
• Data validations and reconciliation between source/target or current/future states.
• Strong communication and documentation skills; effective collaboration with business teams.

Responsibilities

• Model large databases with Erwin/Hackolade.
• Establish data governance and data quality rules and controls.
• Perform data validations and reconcile source vs target data.
• Work closely with business teams; communicate clearly and document rigorously.
• Apply AML/Fraud domain knowledge where possible; leverage AI tools.

Skills

Data Analysis

Data Modeling

Erwin

AML/Fraud Detection

Tools

ER Studio

Hackolade

Collibra

Job description

Hello,

Location : Chennai / Bangalore / Hyderabad

Designation : Senior Data analyst or Data Modeler

Max Notice Period: Max 15 days. Immediate Joiner Preferred

Mandary Skills: Data Analysis, Data Modeling, Erwin and AML/Fraud Detection

1. Anti-Money Laundering OR Fraud detection
2. Erwin OR ER Studio OR Hackolade

Senior Data analyst or Data Modeler with recent experience (at least 3 years) as a Data Analyst is mandatory.

Total Exp : 5 Yrs.

• The candidate must have expertise in the below areas
• Modeling/STTM for relatively large data bases using data modeling tools like Erwin/Hackolade etc.,
• Data Governance: Expertise in setting up Data Governance. Establishing Data Quality rules and Data controls on DBs and Data Pipelines. Experience with Data Governance/Quality tools like Collibra.
• Data Validations, Root Cause analysis and data reconciliation between Source and target and/or current and future states.
• Must be able to work with Business very effectively with great communication and documentation skills. Should be great team player.
• Preferably in AML/Fraud areas in financial domain
• Must have experience working with AI tools effectively and independently