Senior Business Analyst

Quadratyx; Chennai District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Quadratyx is seeking a senior analytics professional to drive banking domain analytics, lead AI/ML projects, and manage client-driven data solutions. The role emphasizes cross-functional leadership, strategic planning, and delivering measurable business value through data insights.

The candidate will collaborate with technical teams to build predictive models and visual dashboards, ensuring compliance with industry standards and delivering high-impact results across regions.

Qualifications

• Requirements gathering: techniques for eliciting, analyzing, and documenting business requirements.
• Business process modeling: model business processes using BPMN or UML.

Responsibilities

• Apply banking domain knowledge to develop analytics solutions addressing industry challenges.
• Lead AI/ML projects from ideation to deployment and align milestones with business objectives.
• Develop and implement project plans with timelines, resources, and task delegation.
• Manage cross-functional teams across regions and provide regular updates and KPI tracking.
• Design data-driven analytical solutions using SQL, Python/R, and visualization tools to derive actionable insights.
• Engage with clients to translate requirements into technical tasks ensuring measurable business value.

Skills

Banking domain

AI & ML

Project management

Analytics

Stakeholder engagement

Tools

SQL

Python

R

Tableau

Power BI

Job description

KEY RESPONSIBILITIES
Banking Domain Expertise:
Apply in-depth knowledge of banking and financial services (e.g., credit cards, retail banking) to develop and implement client-centric analytics solutions that address industry-specific challenges.
Stay updated on industry trends and regulations to ensure analytics solutions align with banking standards and deliver high-impact business results.
AI & ML Project Execution:
Lead and oversee the execution of AI and ML projects from ideation through to deployment, ensuring that project milestones align with business objectives.
Collaborate with technical teams to develop predictive models and machine learning algorithms, ensuring these models align with industry best practices.
Project Management and Strategy:
Develop and implement comprehensive project plans, including timelines, resource allocation, and task delegation, to achieve project goals on schedule.
Manage cross-functional teams and stakeholders across various regions to ensure smooth communication, alignment, and progress tracking.
Provide regular project updates, tracking key performance metrics, and ensuring alignment with organizational goals and client expectations.
Analytical Solutions and Business Insights:
Design data-driven analytical solutions that address complex business problems; leverage tools such asSQL, Python/R, and visualization software like Tableau/PowerBI.
Conduct in-depth analysis to identify gaps, insights, and actionable recommendations, using techniques such as segmentation, hypothesis testing, and predictive modeling.
Stakeholder Engagement and Client Focus:
Act as a primary point of contact for clients, ensuring that all analytical solutions are tailored to meet client needs.
Engage with clients to translate business requirements into technical tasks, ensuring that analytics projects deliver measurable business value\

Requirements Gathering: Techniques for eliciting, analyzing, and documenting business requirements.
Business Process Modeling: Ability to model business processes using tools like BPMN or UML.