Data Analyst - Integrations

Overview of role

Office: London (hybrid; min 2 days required in the office per week)

Walkers are looking for a technically proficient Data Analyst to join the IT Department within the Strategy & Architecture Team. This role will have a strong emphasis on API design and integrations between systems. This role is pivotal in enabling data-driven decision-making and ensuring seamless data exchange across internal systems and external platforms. The Data Analyst will also work with other members of the Strategy & Architecture Team such as the Data Architect to help execute against the firms approved Data Strategy.

The Data Analyst will need to work closely with business stakeholders, Developers, Scrum Masters, Project Managers and Architects. This role will be responsible for ensuring accurate, fit for purpose specifications and schemas (structure, data types, endpoints, request parameters, and response formats) for integrations across the technology portfolio. The Data Analyst will also work with the Architecture team in executing against the firm's data strategy which covers areas such as classification, duplication, exception reporting, clean-up, insights and the use of technology such as PowerBI, Azure Foundry and Fabric in the Microsoft space. The ideal candidate will have deep expertise in working with software vendors and developers to ensure API's can be built in a timely manner as possible.

The Data Analyst will report to the Global Head of Architecture who in turn reports to the firms Chief Technology Officer but will work very closely with the Global Engineering Team. The role holder will be expected to be consultative in the areas they are extremely competent in as well as having the aptitude to quickly understand new and emerging technologies within their space. The role holder will contribute to the selection of Enterprise SaaS platforms by ensuring they will integrate well with existing systems where required. Part of this will have to work closely with vendors to design solutions which align with Walkers' standards, patterns and reference architectures.

Job Duties

• Analyse and interpret complex datasets to support IT operations and strategic initiatives.
• Design, document, and maintain APIs that facilitate secure and efficient data integration between systems.
• Create data dictionary and describe data structure, elements, their meanings, and relationships within a dataset or database.
• Create Business Glossary and describe business terms, and their definitions, ensuring they are consistent across the enterprise.
• Influence standardization of data documentation across projects and teams.
• Document all levels of data-related concepts - models, table, column, business terms. Ensure all documentation covers the full spectrum of data analysis, from high-level models down to individual fields.
• Define and document data lineage and transformations so as to provide clear representation of how data moves and changes across systems.
• Implement metadata standards to improve interoperability and understanding.
• Collaborate with software developers, solutions architects, and business analysts to define API requirements and data flows.
• Contribute to the development and on-going improvements of dashboards and reporting tools used by the business to carry out their day-to-day activities.
• Ensure data quality, consistency, and compliance with internal governance and security standards.
• Support automation efforts by integrating APIs into existing system workflows and tools.
• Contribute and maintain adequate documentation as artefacts that relate to integration and data structure relating to projects and implementations.
• Adhere to the firm's standard non-functional requirements for all integrations, development tooling and code management, testing and deployment tooling.
• Work with IT, suppliers, vendors and specialty third parties to ensure that any identified integrations are possible, how complex and provide estimations in delivery aspects.

Education, Skills & Experience

• Proven experience in data analysis within an IT or technical environment.
• Proficiency in SQL and scripting languages such as Python or R.
• Hands-on experience with RESTful API design, documentation (e.g. Swagger/OpenAPI), and testing tools (e.g. Postman).
• Familiarity with cloud platforms (Primarily Azure) and data services.
• Strong understanding of data modelling, ETL processes, and system integration.
• Excellent communication and stakeholder engagement skills
• Thorough knowledge of applications integrations and the API economy.
• An understand of Microsoft data tools like PowerBI, Azure Foundry, and Fabric.
• Proven experience in a Data Analyst role or equivalent.
• University degree in Computer Science or other relevant discipline or suitable IT industry experience

Personal and Professional Requirements

• Ability and willingness to occasionally work outside normal working hours/days when requested.
• Decisive and confident in one’s own ability and recommendations
• An understanding that occasional international business travel will be necessary
• Strong written, oral and presentation communication skills.
• Excellent inter-personal skills and ability to present ideas and proposals in user-friendly language.
• A passion for data technologies continually stays up to date and evaluating where new technology can add value to the business.
• Highly self-motivated and directed, with keen attention to detail.
• Trusted advisor with the ability to step in and help support teams in advice and consultancy when necessary.
• Able to effectively prioritize tasks in a high-pressure environment.
• Experience working in a geographically dispersed team-oriented, collaborative environment.

#LI-LQ1

#LI-Hybrid