Insurity Business Data Analyst

Role description

Job Title: Senior Specialist - Architecture

 

Job Summary:

• The Insurity Business Data Analyst will support data extraction mapping and loading from Insurity Policy Decisions into the Guidewire PolicyCenter database


• The analyst will leverage deep knowledge of insurance domain concepts Insurity data architecture and cross functional collaboration to enable seamless data integration

 

Job Description:

• Extract and map relevant data tables from Insurity Policy Decisions to support downstream integration


• Transfer extracted data to designated staging environments for validation and further processing


• Load data into the target Guidewire PolicyCenter database in alignment with sprint specific coverage requirements


• Collaborate with cross functional teams including business development and QA to ensure data accuracy completeness and consistency


• Leverage in depth knowledge of Insurity Policy Decisions functional processes and database architecture to support effective data integration


• Apply insurance domain expertise to analyze data support integration decisions and ensure business alignment

 

Roles Responsibilities:

• Data Mapping Extraction:


• Analyze and understand the Insurity Policy Decisions functional and database architecture


• Identify map and extract relevant source tables and fields required for PolicyCenter data loads


• Develop and maintain detailed source to target data mapping documents between Insurity PD and Guidewire PolicyCenter


• Data Loading Validation:


• Transfer extracted data to staging areas for transformation and processing


• Support loading of data into the target Guidewire PolicyCenter database based on sprint level coverage requirements


• Validate data accuracy completeness and integrity across migration cycles


• Identify analyze and resolve data discrepancies and load issues


• Business Domain Support:


• Apply strong insurance domain knowledge policies coverages risks transactions to data interpretation and analysis


• Provide insights and recommendations to improve data usability quality and downstream system behavior


• Act as a liaison between business stakeholders and technical teams for data related queries


• Work closely with development QA and business teams to align data requirements with sprint objectives

Other details

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):

Benefits and Perks:

• Comprehensive Medical Plan Covering Medical, Dental, Vision


• Short Term and Long-Term Disability Coverage


• 401(k) Plan with Company match


• Life Insurance


• Vacation Time, Sick Leave, Paid Holidays


• Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer: The compensation and benefits information provided herein is accurate as of the date of
this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our
employment decisions are made without regard to race, color, creed, religion, sex (including
pregnancy, childbirth or related medical conditions), gender identity or expression, national origin,
ancestry, age, family-care status, veteran status, marital status, civil union status, domestic
partnership status, military service, handicap or disability or history of handicap or disability, genetic
information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation
or preference, or any other characteristic protected by applicable federal, state, or local law, except
where such considerations are bona fide occupational qualifications permitted by law.