Actuarial Bsa

Tata Consultancy Services; Des Moines (IA); On-site; USD 120,000 - 160,000; Full time

Job summary

Tata Consultancy Services Limited in Des Moines, IA, seeks a senior Business Systems Analyst to partner with actuarial, finance, and technology stakeholders to translate complex business needs into scalable data solutions.

You will perform hands-on SQL data analysis, support downstream reporting and modeling, drive modernization with AWS, and contribute to Agile delivery, including user stories and documentation.

Qualifications

• 8+ years of experience supporting actuarial, finance, insurance, or other complex financial systems.
• Strong knowledge of annuity products, including Fixed Annuities (FA) and Fixed Indexed Annuities (FIA).
• Advanced SQL and data analysis experience to validate complex business rules and support cloud-based modernization.
• Experience in Agile environments using JIRA/Confluence and AI-enabled tools.

Responsibilities

• Partner with Actuarial, Finance, Reinsurance, and Technology stakeholders to analyze business processes and translate complex needs into scalable technology solutions.
• Perform hands-on data analysis using SQL and other analytical tools to validate business rules, reconcile actuarial and financial data, and support downstream reporting and modeling.
• Drive modernization initiatives by collaborating with engineering teams to improve actuarial data platforms, AWS-based data solutions, system integrations, and data quality.
• Support Agile delivery by creating and managing user stories, acceptance criteria, documentation, testing, and production support activities.
• Mentor and support Business Systems Analysts by sharing best practices, improving documentation standards, and elevating quality across the team.
• Leverage AI-enabled tools to enhance analysis, documentation, data interpretation, and productivity while promoting continuous improvement across delivery teams.

Skills

SQL

Data analysis

Actuarial domain

AWS

AI tools

Stakeholder management

Communication

Mentoring

Tools

SQL

AWS

JIRA

Confluence

Job description

• Partner with Actuarial, Finance, Reinsurance, and Technology stakeholders to analyze business processes, facilitate requirements workshops, and translate complex business needs into scalable technology solutions supporting actuarial and financial operations.
• Perform hands-on data analysis using SQL and other analytical tools to validate business rules, reconcile actuarial and financial data, and support downstream reporting, modeling, and operational decision-making.
• Drive modernization initiatives by collaborating with engineering teams to improve actuarial data platforms, AWS-based data solutions, system integrations, and overall data quality and accessibility.
• Support Agile delivery by creating and managing user stories, acceptance criteria, documentation, testing, and production support activities while contributing to continuous improvement across the software delivery lifecycle.
• Mentor and support Business Systems Analysts by sharing best practices, improving documentation standards, and helping elevate the quality and consistency of business analysis across the team.
• Leverage AI-enabled tools to enhance business analysis, documentation, data interpretation, and productivity while promoting innovation, critical thinking, and continuous improvement across delivery teams.
• 8+ years of relevant experience supporting Actuarial, Finance, Insurance, or other complex financial systems, with demonstrated success translating business needs into technology solutions, preferred.
• Strong knowledge of annuity products, including Fixed Annuities (FA), Fixed Indexed Annuities (FIA), reinsurance, liability data, and PGA-related business processes.
• Advanced SQL and data analysis experience with the ability to validate complex business rules, interpret financial and actuarial data, and support cloud-based data modernization initiatives, preferably within AWS.
• Experience working in Agile environments utilizing JIRA, Confluence, and modern business analysis practices, along with familiarity using AI-enabled tools to improve analysis, documentation, and delivery outcomes.
• Excellent analytical, communication, stakeholder management, and problem-solving skills with a demonstrated ability to operate independently, influence cross-functional teams, mentor others, and thrive in a fast-paced, evolving environment.