Business Data Analyst - REMOTE

LTM · IT Consulting & Digital Transformation · IT Outsourcing & Dedicated Teams · SQL · 2 hours ago
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Location
Remote (United States)
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H-1B filings in 12 months: 199 · for this role: 12

Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Oct 29, 2026. LTM scores B on the Alion truth index.

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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.
ltm.com · HQ: Mumbai, India · Enterprise Apps Implementation Partners · IT Outsourcing & Dedicated Teams · IT Consulting & Digital Transformation · Est. 1996
Tech stack of LTM
  • Proven Business analyst skills of developing business requirement specifications, process workflow, Data flow, Data mapping, capturing user interface requirements using available mock up tools etc.
  • Analytical skills for interpreting contracts and financial data
  • Effective communication and collaboration across global teams, customers and vendors
  • Background in insurance or actuarial science is often preferred
  • Data Analysis Reporting - Analyze large complex reinsurance datasets covering premiums claims recoveries treaties facultative contracts and bordereaux. Develop and maintain reinsurance MIS regulatory and management reports using data from enterprise data warehouses and marts. Support actuarial finance and accounting teams with accurate and timely data extracts and reconciliations
  • Database SQL Expertise - Write advanced SQL queries on relational databases like Oracle, SQL Server, DB2 or equivalent for analysis validation and reporting. Perform data profiling reconciliation and root cause analysis to identify data quality issues. Optimize SQL queries for performance in high volume reinsurance data environments
  • Strong understanding of reinsurance principles especially treaty structures assumed and ceded (Insurance industry knowledge is mandatory) is a plus
  • Must have knowledge of converting business requirement specification to user stories
  • Must have knowledge of traceability of requirement to product feature
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