Data Analyst-Insurnace

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Role Overview

Zorba AI is hiring a senior-level Data Analyst-Insurnace. This is a full-time role in IN. Part of Zorba AI's Data Analysis hiring, posted today. applications are still in the early window, before most candidates have applied. Full responsibilities, required qualifications, and the apply link are listed in the description below.

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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

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

About Zorba AI

Zorba AI

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Frequently Asked Questions

How do I apply for the Data Analyst-Insurnace position at Zorba AI?

Use the Apply button above to submit your application directly to Zorba AI. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Data Analyst-Insurnace position at Zorba AI located?

This position is based in IN. Zorba AI has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Data Analyst-Insurnace at Zorba AI earn?

Zorba AI has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Data Analyst-Insurnace role at Zorba AI posted?

This role was posted on June 25, 2026 (today). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

How much experience does the Data Analyst-Insurnace role at Zorba AI require?

This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Zorba AI lists their specific requirements in the description below, so review the must-have qualifications closely before applying.