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Insurance Data Consultant

Kennect
Chennai, Tamil Nadu

Apply Now

Job details

Full-time

Benefits

Health insurance

Qualifications

Power BI
Azure
Statistics
Computer Science
English
MongoDB
Tableau
Master's degree
SQL
AWS
Bachelor's degree
JavaScript
JSON
Communication skills
Data warehouse
Python
Debugging
Analytics

Full job description

(

2 –3 Years

)

Customer Experience (CX)

Kennect Technologies

Kennect is a SaaS Company, leading the way in Sales Performance Management

Mumbai

51-200

Private Limited Company

Location

Chennai, Tamil Nadu, India (On-site)

Job Type

Full-time, Dedicated Client Engagement

Hiring contact

Arya Borkar

Work Policy

Hybrid

The Role:

We are looking for a sharp, insurance-domain-aware Data Consultant to join our data engineering team and work exclusively with one of our key insurance clients. This is a dedicated engagement, you will be embedded within the client's data ecosystem, owning pipelines, driving data transformations, and translating complex insurance operations into structured, decision-ready data products.

You will sit at the intersection of insurance operations and data engineering, understanding policy, commissions and incentives and payout/accounting workflows while building the technical infrastructure to make that data reliable, fast, and actionable.

Key Responsibilities:

Data Pipeline Engineering

Design, build, and maintain scalable data pipelines ingesting insurance operational data (policy, supporting datasets such as employee details, CRM activities, training data)

Develop and optimize ETL/ELT workflows across structured (SQL) and semi-structured (JSON/MongoDB) data sources
Ensure pipeline reliability, scheduling, monitoring, and alerting with minimal manual intervention

Insurance Domain Data Modelling

Translate complex incentive structures and payout workflows, including agent commissions, incentives into clean, normalized data models
Document data dictionaries, schema definitions, and transformation logic for client-facing deliverables

Analytics Enablement

Prepare clean, analytics-ready datasets for dashboards, actuarial models, and management reporting
Support ad-hoc analytical requests with SQL queries, MongoDB aggregations, and scripting (Python/JavaScript)

System Integrations

Integrate the incentive output with downstream systems — accounting/GL platforms, payroll, and HRIS — including journal entry generation (CGST/SGST/IGST handling where applicable) and payout file generation.
Build and support workflow requirements to fulfill business requirements related to downstream data consumption

Client Engagement

Act as the primary technical point of contact for data-related queries from the dedicated client
Communicate clearly with both technical and non-technical insurance stakeholders
Produce regular status updates, pipeline documentation, and data health reports

‍

Our Ideal Candidate:

A strong understanding of insurance operations is preferred. The ideal candidate will be familiar with:

Core insurance lines: P&C, Life, Health, or Specialty (at least one in depth)
Key operational data areas: Incentive management, commission payouts, payout reconciliation, and incentive disbursement
Working with real-world insurance data from legacy source systems

Who You Are

When you think about data, you naturally ask 'Do I completely understand each and every data field present in this datasets”' and “How do multiple datasets link together and what would it allow me to answer”
You are technically hands-on and comfortable writing and debugging code independently
You can read a business process, identify its data footprint, and model it cleanly
You communicate complex technical findings to non-technical insurance stakeholders with clarity
You thrive in a dedicated client model, you build trust, take ownership, and deliver consistently
You are detail-oriented with a high bar for data accuracy and documentation quality
You Mentor junior data engineers and consultants on the account; review pipeline code and enforce data quality and auditability standards.

Qualifications

2-3 years of experience in data engineering, analytics engineering, or a related data role
Good to Have: Prior experience in the insurance industry
Bachelor's or Master's degree in Computer Science, Statistics, Engineering, Mathematics, or a related field
Strong SQL skills are non-negotiable; MongoDB proficiency is highly preferred
Experience with Python or JavaScript for data processing; both is a plus
Excellent written and verbal communication skills in English
Based in Chennai or willing to relocate, this is an on-site, dedicated engagement role

Nice to Have

Experience with BI tools (Power BI, Tableau, Looker) for data validation and stakeholder reporting
Familiarity with cloud data platforms (AWS, GCP, Azure) and data warehousing solutions
Knowledge of actuarial data workflows or experience supporting actuarial teams
Certifications in cloud, data engineering, or insurance domain (ACII, AICPCU, etc.)

Apply Now

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