Data Analyst Data Analyst

Role description

Role Data Analyst Insurance Onshore ClientFacing

Domain Insurance PC Life Health

Work Location USA Raleigh North Carolina Mandatory

Technical Skills Primary

Insurance Domain Knowledge Strong understanding of Insurance business data related to Policy Claims Underwriting Billing Risk and Regulatory reporting

Client Interaction Analysis Work closely with client stakeholders to understand business questions data needs and reporting requirements

Data Analysis Handson experience analyzing large datasets using SQL Excel and analytical tools

Reporting Insights Develop and validate reports dashboards and insights to support business decisionmaking

BI Tools Experience working with BI and visualization tools such as Power BI Tableau or similar platforms

Data Validation Quality Perform data validation reconciliation and data quality checks to ensure accuracy and consistency

Metrics KPIs Define calculate and track business metrics and KPIs aligned to insurance use cases

Requirements Translation Translate business questions into data queries and analytical outputs

Documentation Communication Prepare clear clientready analysis summaries reports and presentations

Collaboration Coordinate closely with data engineers BI developers and offshore teams to deliver analysis outcomes

Technical Skills Secondary Nice to Have NOT MANDATORY

Exposure to Databricks Data Warehouses or Lakehouse platforms

Familiarity with Python or analytical scripting for data analysis

Understanding of ETL data pipelines and data integration concepts

Experience working in Agile Scrum delivery models

Exposure to regulatory compliance or audit reporting in Insurance

Key Onshore ClientFacing Skills

Strong communication and presentation skills for client interactions

Ability to independently manage discussions with business users

Comfortable working onsite and representing the delivery team with the client

Proactive problemsolving and ownership mindset

Ability to work across time zones with offshore delivery teams

Qualifying Questions

3 qualifying questions from the practice for each role for TA to qualify the candidates for L1 This should form part of the Job Description

Qualifying Screening Questions

1 Insurance Data Experience

Can you describe the types of insurance data you have worked with eg Policy Claims Billing and how you used it to support business decisions

2 Data Analysis Tools

What tools and techniques do you typically use for data analysis eg SQL Excel Power BITableau Please give a brief example of a report or insight you delivered

3 Client Interaction

Tell us about your experience working directly with business or client stakeholders How do you translate business questions into data analysis or reports

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.