Lead Solutions Analyst - Data Analysis

Job description

Lead the forefront of innovative solutions analysis in a dynamic tech environment, driving success through expertise in data analytics and technical program delivery. As a Lead Solutions Analyst in CORPORATE SECTOR - CORPORATE TECHNOLOGY , you will play a central role in driving the success of our technical program delivery. Your deep understanding of applications, platforms, and products will position you as a key bridge between product owners, business, operations, and software developers.

Utilizing advanced analytical reasoning and technical fluency, you will translate complex business requirements into well-structured and technically feasible solutions. You will make data-informed decisions and provide strategic insights to support key business initiatives. As a technical subject matter expert, you'll navigate ambiguity, manage change effectively, and communicate compellingly with diverse stakeholder audiences to ensure the highest quality and professionalism in service delivery.

Job responsibilities

• Lead the elicitation, documentation, and validation of business and data flow requirements, ensuring alignment with stakeholder expectations and technical feasibility
• Develop and maintain comprehensive knowledge of industry trends, emerging technologies, and best practices to provide strategic guidance and innovative solutions for complex projects
• Model the design and implementation of technical solutions, ensuring seamless integration with existing systems and infrastructure
• Utilize advanced data analytics techniques to extract insights from large, diverse datasets, driving data-informed decision-making and supporting key business initiatives
• Mentor and guide team members in the application of technical writing and analytical reasoning skills, fostering a culture of continuous learning and improvement Required qualifications, capabilities, and skills
• 5+ years of experience or equivalent expertise in solutions analysis, data modelling, technical program delivery in Financial industry
• Demonstrated expertise in data analysis and data application, including hands-on experience with major data visualization platforms Advanced knowledge of data analytics techniques, with experience in developing and interpreting models, diagrams, and data-driven insights
• Proven ability to apply technical fluency in current and relevant platforms, software tools, and technologies to drive innovative solutions
• Strong track record of leading through change, navigating ambiguous situations, and managing dependencies in complex projects Working knowledge of AI/ML models and practical experience with AI tools Preferred qualifications, capabilities, and skills financial industry experience Knowing Python, Data Bricks and Data Engineering would be a plus.