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Location
Hybrid (Markham, Canada)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on May 4, 2026. LTM scores B on the Alion truth index.

Overview
Company
Impact
Profile match

LTM

LTM, formerly LTIMindtree, is an Indian IT services and consulting company providing application development, cloud, data engineering, AI, enterprise application implementation and managed services to large enterprises. Headquartered in Mumbai and majority-owned by Larsen & Toubro, it was formed in 2022 by the merger of L&T Infotech, founded in 1996, and Mindtree, and is listed on the BSE and NSE. It hires Salesforce and full-stack developers, data engineers, program managers and software engineers in Bengaluru, Kolkata, Pune and Bellevue, Washington.

Role Data Systems Analyst

Experience 8 Years

Location Canada Client location Markham Office

Working model Hybrid 3 days Work From Office 2 days mandatory Tue Wed 1 day flexible any day from Mon Thu Fri

Primary Skills

Minimum 5 years of experience successfully leading Data Systems Analysis organizations with expertise in building largescale enterprise data assets

8 years experience as a Business Analyst working on midlarge projects for data design development and implementation of businesscritical enterprise data

systems

Very strong SQL background

Strong knowledge on data warehousing especially on data lake house

Background on Insurance knowledge such as billing policy claims etc

Solid graspexperience with data technology tools like PostgreSQL Informatica

Outstanding knowledge and experience in ETL with Informatica product suite

Experience establishing documentation standards frameworks for data quality data governance stewardship and metadata management

Clean and transform raw data from diverse sources eg policy admin systems CRM claims systems into analyticsready formats

Leverage lakehouse tool Delta Lake to manage versioned and timetravel datasets

Collaborate with data engineers to ensure efficient ETLELT processes

Build dashboards and visualizations for underwriting claims finance and product teams

Use tools like Power BI or Qlik to present insights from lakehouse data

Enable selfservice analytics by creating reusable datasets and semantic layers

Profile and validate data to ensure consistency across policy claims and financial domains

Tag and catalog datasets using metadata tool Unity Catalog

Support master data management and reference data initiatives

Solid understanding of Project and Program Management processes

Insurance knowledge an asset

Secondary Skills

Ability to foundationally understand complex business process driving technical systems

Good graspexperience with data technology tools such as Snowflake Hadoop

Experience in leveraging lakehouse tool Apache Iceberg

Knowledge of Tagging and catalog datasets using metadata tool Collibra

Exposure of Tableau to present insights from lakehouse data

Strong leadership and influencing skills at the senior management level

Strong analytical critical thinking and problemsolving skills

Soft Skills

Excellent written and verbal communication skills

Strong ability to work with client stakeholders

Questions

Do you know the difference between data lake house and data warehouse YesNo

Do you have hands On ETL Experience on Informatica Enterprise ETL YesNo

Have you worked on different types of transformations for loading data from source systems into a target table YesNo

Have you worked on any of the insurance data domains like policy claims billing finance YesNo

Have you done reporting or analytics once data is available in a lake house YesNo

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