Data Analyst-Insurnace

Actively Reviewing

Zorba AI

Gurugram Full-Time 4–8 yrs exp Posted 1 week ago · Apply by Sep 3, 2026

Job Description

Job Description

Job Title: Data Analyst

Role: Data Analyst

Responsibilities: We are looking for a Data Analyst to work on disability insurance data migration project with development team.

Skill Requirements:

8+ years of experience in relevant Data Analyst field.
Experience in a Data Analyst role
Experience in Group insurance data domain
Experience in data migration project
Good knowledge of Extract, Transform, Load (ETL) concept
Good knowledge of SQL/PL/SQL
Good knowledge of Data Modeling
Excellent communication skills

Key Responsibilities:

Data Collection & Extraction
Extract data from databases (SQL, DB2, Oracle), APIs, and flat files
Data Cleaning & Preparation
Identify and resolve missing, duplicate, or incorrect data
Standardize data formats and structures

Fill missing mandatory fields

Validate referential integrity

Correct invalid data values

Transform raw data into analysis-ready datasets
Data Analysis & Interpretation
Analyze large datasets to identify trends, patterns, and anomalies
Translate business questions into analytical queries

Assess data quality in source system

Profile source data (nulls, duplicates, outliers)

Data Quality & Governance

Monitor data quality and integrity
Define and enforce data standards and naming conventions
Document data lineage and definitions (data dictionary)
Business Support & Insights
Partner with business teams to understand requirements
Provide actionable insights to support decision-making

Data Modeling & Mapping

Create source-to-target field mapping documents
Identify data type mismatches
Map business rules and transformations
Handle code/lookup table conversions (e.g., policy status codes)
Data Reconciliation & Validation

Record count comparison (source vs. target)

Spot checks on key records

Null/missing value checks

Referential integrity checks in target DB

Business rules checks

Collaboration & Communication

Work closely with Data Engineers and Business Analysts

Participate in Agile/Scrum ceremonies

Define KPIs and metrics with business stakeholders

Job Description

Job Title: Data Analyst

Role: Data Analyst

Responsibilities: We are looking for a Data Analyst to work on disability insurance data migration project with development team.

Skill Requirements:

8+ years of experience in relevant Data Analyst field.
Experience in a Data Analyst role
Experience in Group insurance data domain
Experience in data migration project
Good knowledge of Extract, Transform, Load (ETL) concept
Good knowledge of SQL/PL/SQL
Good knowledge of Data Modeling
Excellent communication skills

Key Responsibilities:

Data Collection & Extraction
Extract data from databases (SQL, DB2, Oracle), APIs, and flat files
Data Cleaning & Preparation
Identify and resolve missing, duplicate, or incorrect data
Standardize data formats and structures

Fill missing mandatory fields

Validate referential integrity

Correct invalid data values

Transform raw data into analysis-ready datasets
Data Analysis & Interpretation
Analyze large datasets to identify trends, patterns, and anomalies
Translate business questions into analytical queries

Assess data quality in source system

Profile source data (nulls, duplicates, outliers)

Data Quality & Governance

Monitor data quality and integrity
Define and enforce data standards and naming conventions
Document data lineage and definitions (data dictionary)
Business Support & Insights
Partner with business teams to understand requirements
Provide actionable insights to support decision-making

Data Modeling & Mapping

Create source-to-target field mapping documents
Identify data type mismatches
Map business rules and transformations
Handle code/lookup table conversions (e.g., policy status codes)
Data Reconciliation & Validation

Record count comparison (source vs. target)

Spot checks on key records

Null/missing value checks

Referential integrity checks in target DB

Business rules checks

Collaboration & Communication

Work closely with Data Engineers and Business Analysts

Participate in Agile/Scrum ceremonies

Define KPIs and metrics with business stakeholders

Key Responsibilities:

Data Collection & Extraction
Extract data from databases (SQL, DB2, Oracle), APIs, and flat files
Data Cleaning & Preparation
Identify and resolve missing, duplicate, or incorrect data
Standardize data formats and structures

Fill missing mandatory fields

Validate referential integrity

Correct invalid data values

Transform raw data into analysis-ready datasets
Data Analysis & Interpretation
Analyze large datasets to identify trends, patterns, and anomalies
Translate business questions into analytical queries

Assess data quality in source system

Profile source data (nulls, duplicates, outliers)

Data Quality & Governance

Monitor data quality and integrity
Define and enforce data standards and naming conventions
Document data lineage and definitions (data dictionary)
Business Support & Insights
Partner with business teams to understand requirements
Provide actionable insights to support decision-making

Data Modeling & Mapping

Create source-to-target field mapping documents
Identify data type mismatches
Map business rules and transformations
Handle code/lookup table conversions (e.g., policy status codes)
Data Reconciliation & Validation

Record count comparison (source vs. target)

Spot checks on key records

Null/missing value checks

Referential integrity checks in target DB

Business rules checks

Collaboration & Communication

Work closely with Data Engineers and Business Analysts

Participate in Agile/Scrum ceremonies

Key Responsibilities:

Data Collection & Extraction
Extract data from databases (SQL, DB2, Oracle), APIs, and flat files
Data Cleaning & Preparation
Identify and resolve missing, duplicate, or incorrect data
Standardize data formats and structures

Fill missing mandatory fields

Validate referential integrity

Correct invalid data values

Transform raw data into analysis-ready datasets
Data Analysis & Interpretation
Analyze large datasets to identify trends, patterns, and anomalies
Translate business questions into analytical queries

Assess data quality in source system

Profile source data (nulls, duplicates, outliers)

Data Quality & Governance

Monitor data quality and integrity
Define and enforce data standards and naming conventions
Document data lineage and definitions (data dictionary)
Business Support & Insights
Partner with business teams to understand requirements
Provide actionable insights to support decision-making

Data Modeling & Mapping

Create source-to-target field mapping documents
Identify data type mismatches
Map business rules and transformations
Handle code/lookup table conversions (e.g., policy status codes)
Data Reconciliation & Validation

Record count comparison (source vs. target)

Spot checks on key records

Null/missing value checks

Referential integrity checks in target DB

Business rules checks

Collaboration & Communication

Work closely with Data Engineers and Business Analysts

Participate in Agile/Scrum ceremonies

Define KPIs and metrics with business stakeholders

Define KPIs and metrics with business stakeholders

Key Responsibilities:

Data Collection & Extraction
Extract data from databases (SQL, DB2, Oracle), APIs, and flat files
Data Cleaning & Preparation
Identify and resolve missing, duplicate, or incorrect data
Standardize data formats and structures

Fill missing mandatory fields

Validate referential integrity

Correct invalid data values

Transform raw data into analysis-ready datasets
Data Analysis & Interpretation
Analyze large datasets to identify trends, patterns, and anomalies
Translate business questions into analytical queries

Assess data quality in source system

Profile source data (nulls, duplicates, outliers)

Data Quality & Governance

Monitor data quality and integrity
Define and enforce data standards and naming conventions
Document data lineage and definitions (data dictionary)
Business Support & Insights
Partner with business teams to understand requirements
Provide actionable insights to support decision-making

Data Modeling & Mapping

Create source-to-target field mapping documents
Identify data type mismatches
Map business rules and transformations
Handle code/lookup table conversions (e.g., policy status codes)
Data Reconciliation & Validation

Record count comparison (source vs. target)

Spot checks on key records

Null/missing value checks

Referential integrity checks in target DB

Business rules checks

Collaboration & Communication

Work closely with Data Engineers and Business Analysts

Participate in Agile/Scrum ceremonies

Define KPIs and metrics with business stakeholders

Skills: insurance,data migration,sql,data quality