Senior Data Business Analyst

Introduction

Through our client-facing brands Metropolitan and Momentum, with Multiply (wellness and rewards programme), and our other specialist brands, including Guardrisk and Eris Property Group, the group enables business and people from all walks of life to achieve their financial goals and life aspirations. We help people grow their savings, protect what matters to them and invest for the future. We help companies and organisations care for and reward their employees and members. Through our own network of advisers or via independent brokers and utilising new platforms Momentum Group provides practical financial solutions for people, communities and businesses.

Role Purpose

To own the data analysis, improving and redesigning processes from current state assessments to post-implementation support to deliver an improvement in efficiency, high levels of standardization and straight-through processing with defined exception management.

The ideal candidate should be a subject matter expert and have working experience in certain areas including:

• System migrations

• Data and insights

• Process improvements

to support and drive the related reporting process with the help of their peers in the team.

Requirements

Qualifications, Experience and Knowledge:

• Relevant degree (IT, Informatics, Data Science or equivalent).

• Minimum 8 years' (Business Analysis and data modelling and/or data analysis) experience.

• Experience working in an Agile software development environment.

• Experience with AI and Machine learning preferred.

• Demonstrable ability to operate independently, efficiently, and effectively in a high transaction volume and complex environment.

• Knowledge of business process mapping systems such as Lucid and Bizagi.

• Other standard systems such as Microsoft Suite and Jira.

Duties & Responsibilities

Responsibilities and work outputs:

Gathering requirements

• Responsible for detailed business analysis - Stakeholder engagement via workshop facilitation, meetings, research and interviews to elicit and understand business requirements for all projects and change requests.

• Gain and apply understanding of the business in which we operate and the future domains in which we have the ambition to operate.

• Conduct thorough analysis of proposed technology solutions using investigative and information-gathering skills to highlight the impact of solutions on business processes and systems.

• Collaborating with cross functional teams, including IT professionals and other business analysts to deliver effective solutions.

Data analysis

• Ability to write and interpret data queries.

• Analyse large data sets and understand the granular detail as part of the analysis phase and subsequent solution invention process.

• Ability to use tools like QlikView / PowerBI / Excel, SQL, Databases etc. to analyze data and develop solutions.

Process improvement

• Create visual representations of current and future processes, helping to identify areas for improvement and optimization.

• Conducting professional process workshops with business and technology stakeholders to gather information and identify risks.

• Identifying, developing, and implementing necessary process improvements for key initiatives.

• Creating and implementing process metrics, reports, and control points (track, monitor and measure projects implemented)

• Proactively identifying and carrying out root cause analysis of the problem.

• Logically and accurately map business process steps according to defined standards and maintain existing refinery processes and documentation.

• Collaborating with other stakeholders to ensure achievement of project goals.

• Driving process adoption & compliance with end users.

• Keeping a systematic approach to coordinating and managing process and system change definitions and implementations.

• Application of industry related methodologies and frameworks such as design thinking

• Contribute to project planning, risk mitigation and scope management of key initiatives and other projects where involved in.

Problem Solving

• Identify and address business problems and challenges by proposing effective solutions

• Participate in the design of systems and applications, ensuring they align with business goals and technical requirements.

Testing and validation

• Quality assurance of data and analytics solution delivery.

• Support user acceptance testing and creating of training material.

Change management

• Assist in managing organisational change that result from the implementation of new processes and systems, including training and support.

Leadership

• Ability to lead technical teams, and train, mentor, and coach stakeholders in a fit-for-purpose method

• Define and lead data and analytics solution implementation roadmaps

Continuous improvement

• Monitor and evaluate the performance of implemented solutions, recommending adjustments and improvements where needed.

• Diagnosing issues and identifying opportunities for creating added value within current processes.

• Improve efficiencies by reviewing assigned business processes to identify and address operational, financial and technology risk.

Competencies

Competencies and Skills:

• Must have an affinity for data.

• Ability to work with big data.

• Make data driven decisions.

• Strong attention to detail.

• strong troubleshooting and investigation affinity.

• Strong stakeholder engagement and facilitation skills.

• Ability to start and finish tasks.

• Strong Planning and organisational skills.

• Ability to influence, motivate and challenge through clear and articulate communication.

• Investigative and information gathering skills.

• Ability to work in a fast-paced environment and prioritize a varied workload.

• Strong written and verbal communication skills to interrogate business needs and effectively document and communicate solutions to a range of stakeholders.