Business Specialist - Data Analysis, Agile methodology

Job Summary

Project Delivery, Governance & Business Analysis Lead, manage, and deliver automation projects within the Pricing Portfolio, ensuring outcomes align with business priorities and IT strategy. Conduct comprehensive business analysis, including process mapping, gap analysis, and requirements gathering to identify automation opportunities and optimise workflows. Define project scope, objectives, deliverables, and success criteria in collaboration with product owners, stakeholders, and business analysts. Develop and maintain detailed project plans, budgets, risk registers, and business process documentation. Oversee delivery across multiple workstreams including development, QA, support, integration, and automation. Ensure strict adherence to governance frameworks, controls, and change management processes for business process and data automation projects. Optimise resource utilisation to support project priorities and delivery capacity. Stakeholder & Communication Management Engage proactively with trading, risk, finance, and operational stakeholders to capture requirements and provide regular updates on automation project progress. Facilitate alignment across cross-functional teams such as Product, QA, Development, Infrastructure, Support, and Business Analysis. Deliver clear, concise reporting on status, risks, and dependencies to senior management, highlighting process and automation benefits. Manage relationships with vendors and third-party providers, especially those delivering automation solutions. Delivery Methodologies Apply Agile, hybrid, or waterfall methodologies as appropriate to project context, with a focus on business process and data automation. Support backlog prioritisation, sprint planning, and release readiness in partnership with product owners, QA, and business analysts. Champion collaboration, transparency, and continuous improvement within the delivery and analysis teams. Risk & Issue Management Identify, assess, and proactively manage risks, issues, and dependencies across automation projects and systems. Ensure prompt escalation and resolution of blockers impacting delivery timelines, especially those related to process and data automation. Maintain a strong focus on production stability and readiness for post-release support of automated solutions. Additional Accountabilities Apply best-in-class project management and business analysis methodologies to ensure successful outcomes in process and data automation. Maintain robust governance, stakeholder engagement, and communication to support project success. Ensure all project management and business analysis deliverables (e.g., charter, plan, process maps, gap analysis, financials, governance, progress updates, risk register, change log, action plan) are completed and managed in accordance with the agreed framework. Achieve objectives across customer satisfaction, safety, quality, and team performance. Identify, develop, and track metrics, measurements, and KPIs to assess performance against targets, industry standards, and strategic objectives, with a focus on automation benefits. Leverage data-driven insights to monitor product and process performance, communicating findings to stakeholders. Drive on-time, on-budget delivery of automation projects to agreed quality standards, ensuring customer satisfaction and safety goals are met. Implement and manage change initiatives to achieve project targets, p

Key Responsibilities

1. Conduct data analysis to gather insights and make data driven recommendations for business improvement.
2. Work closely with stakeholders to understand business requirements and translate them into functional specifications.
3. Utilize agile methodology to manage projects, prioritize tasks, and deliver results within designated timelines.
4. Collaborate with cross functional teams to ensure alignment on project goals and effectively communicate project progress.
5. Support in the implementation of business strategies by providing analytical support and contributing to decision-making processes.
6. Identify opportunities for process optimization and efficiency improvements through data analysis and business acumen.

Skill Requirements

1. Proficient in data analysis techniques, tools, and methodologies to extract meaningful insights from complex datasets.
2. Strong business analysis skills to understand and document business requirements with clarity and precision.
3. Handson experience with agile methodology, including scrum or kanban, to drive project execution and delivery.
4. Excellent communication and interpersonal skills to interact effectively with stakeholders and team members.
5. Ability to think critically and problem solve to address business challenges with innovative solutions.

Other Requirements

1.Agile Certified Practitioner (PMIACP) certification is preferred but not mandatory required.