Solutions Analyst III - ServiceNow/Tableau/PM

Join our dynamic team to revolutionize how technology intersects with business. Your analytical skills and tech-savviness will be pivotal in creating impactful solutions.

As a Solutions Analyst III - ServiceNow/Tableau/PM in Corporate Sector, you will aid in bridging the gap between product owners, business, operations, and software developers by leveraging your technical fluency and strong analytical reasoning skills. Your responsibilities will include eliciting and documenting business and data flow requirements, translating them into well-structured and technically feasible solutions. Your adaptability and ability to lead through change will enable you to navigate complex situations and manage dependencies effectively. With a strong foundation in data analytics and technical solutions, you will contribute to the development of innovative architecture designs and data-driven insights that guide business decisions. Your excellent communication skills, both verbal and written, will ensure clear and concise information exchange with diverse stakeholder audiences, fostering collaboration and alignment across departments.

Job responsibilities

• Elicit and document comprehensive business and data flow requirements by engaging with product owners, business stakeholders, and technical teams to ensure alignment and feasibility
• Uses enterprise-authorized AI capabilities within the work environment to accelerate requirements synthesis, solution optioning, and architecture documentation, validating outputs and handling data according to sensitivity and security requirements.
• Translate complex business requirements into well-structured technical solutions, leveraging data analytics and technical knowledge to optimize system performance and scalability and applying best practices to address evolving business needs
• Conduct data analysis and interpretation to identify trends, gaps, and opportunities, providing actionable insights that support decision-making and key business initiatives
• Collaborate with cross-functional teams to develop and maintain architecture designs, policies, standards, and governance processes that align technology with business strategy
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required qualifications, capabilities, and skills

• 3+ years of experience or equivalent expertise in solutions analysis, technical program delivery, or a related field
• Experience with SaaS environments (Eg. ServiceNow), dashboarding (Tableau, PowerBI etc.), JIRA, User stories, SDLC and Project Management etc.
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support solutions analysis workflows with strong validation habits and awareness of data sensitivity.
• Ability to review and validate AI-assisted analyses and recommendations before use, escalating when uncertain and following data handling expectations.
• Demonstrated proficiency in data fluency and analytics, including experience with data extraction, modeling, interpretation, and generating insights from large, diverse data sets to support strategic decision-making
• Strong technical writing skills, with a proven track record of translating complex information into clear and concise documentation for diverse stakeholder audiences
• Advanced data visualization capabilities, with hands-on experience creating and maintaining dashboards and reporting using approved tools
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

Preferred qualifications, capabilities, and skills

• Exposure to AI