Business Sys. Analysis Specialist at NTT DATA

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

09 Feb, 26

Salary

0.0

Posted On

11 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Reporting, Process Improvement, Documentation, Analytical Skills, Problem-Solving, Critical Thinking, Communication Skills, Project Management, Insurance Domain Knowledge, Quality Methodologies, Data Visualization, Automation Tools, System Development Methodology, Client Service, Leadership

Industry

IT Services and IT Consulting

Description

Data Analytics and Reporting Liaise with stakeholders to understand business needs, pain points, and improvement opportunities. Translate client requirements into clear functional specifications and process flows. Document “As-Is” and “To-Be” processes, identifying gaps and recommending solutions. Defines overall application functional / business requirements with end users. Recommends solutions, modifications, configurations, and processes. Implements, designs and / or upgrades applications. Analyzes model test discrepancies to find trends and works with programmers to resolve. Establishes cost and time estimates for development and implementation of projects. Evaluates user requirements for one or more specialized business applications and translates those needs into defined user assessment plans or specifications used in determining end-user business or technical needs. Perform data analysis to identify trends, anomalies, and actionable insights for stakeholders. Develop dashboards, MIS reports, and KPIs to track performance and highlight opportunities for improvement. Process Improvement & Transformation Support the design and implementation of process reengineering initiatives that drive efficiency, accuracy, and customer satisfaction. Collaborate with technology and operations teams to enable innovative solutions aligned with industry best practices. Apply quality management methodologies (Lean, Six Sigma, etc.) to monitor and improve process performance. Ensure compliance with regulatory requirements, data security standards, and insurance industry guidelines. Provide regular project updates, risk assessments, and status reports. Strong understanding of Insurance domain processes (Life, Annuity, Health, or P&C preferred). Proven experience in BPO/Operations environment with a focus on insurance. Knowledge and practical application of quality methodologies (Lean, Six Sigma, ISO, COPC preferred). Strong analytical, problem-solving, and critical thinking skills. Proficiency in data analysis and visualization tools (Excel, Power BI, Tableau, SQL preferred). Strong documentation skills (BRD, FRD, Use Cases, Process Maps). Familiarity with automation tools (RPA), Gen AI, Agentic AI, workflow solutions, and transformation initiatives are desirable. Strong knowledge of system development methodology, project management and system architecture. Ability to identify and evaluate IT and business challenges from a broad perspective. Exceptional ability to translate between non-technical business users and technical IT resources. Excellent client service attitude and leadership capabilities. Exceptional organizational and time management skills. Excellent communication and presentation skills, with the ability to influence stakeholders at multiple levels. Graduate & Postgraduates with exposure to BPO & IT industry Overall 8 to 10 years of experience with at least 4 to 5 years in Business Analyst roles (within Insurance BPO operations preferred). Exposure to process transformation, digital initiatives, or automation projects in the insurance sector. Certification in Lean Six Sigma (Green Belt or higher) is highly desirable. Experience working with global stakeholders across geographies is a plus. Willing to work in AR shifts (Monday to Friday 5:30pm to 3:30am)

Responsibilities

The Business Sys. Analysis Specialist will liaise with stakeholders to understand business needs and translate client requirements into functional specifications. They will also analyze data to identify trends and support process improvement initiatives.