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- Tasks: Join us as a Technical Business Analyst to drive data integration for a customer-centric platform.
- Company: Be part of a transformative initiative focused on enhancing customer insights through data.
- Benefits: Enjoy collaborative work with diverse teams and the chance to impact real business decisions.
- Why this job: This role offers a unique opportunity to shape data-driven strategies and improve customer experiences.
- Qualifications: 5+ years in business analysis, especially with SCV projects; strong data integration skills required.
- Other info: Familiarity with tools like Azure DevOps/JIRA is a plus; certifications are advantageous.
The predicted salary is between 36000 - 60000 £ per year.
A Technical Business Analyst is required to support a high-priority, data-driven transformation initiative, focusing on integrating and migrating data into a Single Customer View (SCV) platform. This is a key role that will drive customer-centric insights, enabling more accurate analytics and data-informed decision-making. The successful candidate will collaborate with a variety of stakeholders-business leaders, data engineers, developers, and product owners-to gather requirements, design SCV solutions, and ensure the seamless implementation of the platform.
Key Responsibilities and Deliverables:
* Customer-Centric Analysis: Conduct interviews, workshops, and requirement-gathering sessions to define and prioritize data-driven business needs, specifically focused on improving and leveraging the SCV to drive customer insights.
* End-to-End Data Integration: Map out and optimize user journeys and workflows related to customer analytics and SCV data integration, ensuring seamless experiences that align with business goals.
* Collaboration with Cross-Functional Teams: Work closely with business stakeholders, data engineers, developers, and product owners to translate customer data requirements into actionable insights, ensuring that the SCV platform is aligned with business objectives.
* Data Profiling and Quality Assessment: Conduct data profiling to assess the quality, structure, and integrity of customer data, ensuring it supports accurate, actionable insights within the SCV framework.
* Documentation and Analysis: Develop clear, comprehensive documentation, including business requirements, functional specifications, user stories, and process/data flow diagrams tailored to SCV initiatives.
* Support Program Lifecycle: Provide ongoing business analysis support from change impact assessments to business readiness activities, ensuring smooth transitions to a future data-driven, SCV-integrated state.
* Impact Assessment and Change Analysis: Address complex business problems impacting customer data, aligning cost, timeline, and feasibility with business objectives for successful SCV project delivery.
* Stakeholder Alignment: Facilitate workshops, impact assessments, and business readiness sessions, ensuring that all stakeholders are aligned and contribute to the success of SCV integration and transformation efforts.
Skills & Qualifications:
- At least 5 years of business analysis experience, particularly in data-driven projects with a strong focus on Single Customer View (SCV) initiatives.
- Experience in system and data integration projects
- Technical understanding of data systems, applications and the underlying technical architecture
- Strong experience in Master data
- Experience in MI development
- Experience designing and delivering workshops
- Proven expertise in customer data analysis, SCV platform implementation, and enhancing data accuracy for better customer insights and decision-making.
- Strong background in business process analysis and re-engineering, including GAP analysis and developing Target Operating Models (TOMs) to ensure optimal SCV performance.
- Exceptional problem-solving skills with an ability to assess data quality, integrate customer data from multiple sources, and deliver insightful analyses based on the SCV framework.
- Strong ability to communicate complex SCV and customer data concepts to both technical and non-technical stakeholders.
- Proficiency in data modeling, data mapping techniques, and integration processes specifically within SCV-related data transformation projects.
- Familiarity with tools such as Visio, MS Word, Excel, PowerPoint, and experience with Azure DevOps/JIRA is a plus. Business Analysis certifications (IIBA, BCS, or similar) are advantageous
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Technical Data Integration Business Analyst employer: Guillaume Masson
Contact Detail:
Guillaume Masson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Data Integration Business Analyst
✨Tip Number 1
Familiarize yourself with the Single Customer View (SCV) concept and its importance in data integration projects. Understanding how SCV enhances customer insights will help you articulate your value during interviews.
✨Tip Number 2
Network with professionals in the field of data integration and business analysis. Attend relevant workshops or webinars to connect with potential colleagues and learn about industry best practices that can set you apart.
✨Tip Number 3
Prepare to discuss specific examples from your past experience where you successfully collaborated with cross-functional teams. Highlight your role in driving customer-centric insights and how you managed stakeholder expectations.
✨Tip Number 4
Brush up on your technical skills related to data modeling and integration processes. Being able to demonstrate your proficiency with tools like Visio, MS Excel, and Azure DevOps/JIRA will give you an edge in the selection process.
We think you need these skills to ace Technical Data Integration Business Analyst
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Technical Data Integration Business Analyst position. Tailor your application to highlight your relevant experience in data-driven projects and SCV initiatives.
Highlight Relevant Experience: In your CV and cover letter, emphasize your 5+ years of business analysis experience, particularly in data integration and customer data analysis. Provide specific examples of past projects that align with the job description.
Showcase Technical Skills: Clearly outline your technical understanding of data systems and applications. Mention any experience with tools like Visio, MS Word, Excel, PowerPoint, and Azure DevOps/JIRA, as well as your proficiency in data modeling and mapping techniques.
Communicate Effectively: Demonstrate your ability to communicate complex concepts to both technical and non-technical stakeholders. Use clear and concise language in your application to convey your insights and problem-solving skills related to SCV and customer data.
How to prepare for a job interview at Guillaume Masson
✨Showcase Your Data Integration Experience
Be prepared to discuss your previous experience with data integration projects, especially those related to Single Customer View (SCV) initiatives. Highlight specific examples where you successfully gathered requirements and collaborated with cross-functional teams.
✨Demonstrate Customer-Centric Analysis Skills
During the interview, emphasize your ability to conduct interviews and workshops to gather business needs. Share how you've prioritized these needs in past projects to drive customer insights and improve analytics.
✨Prepare for Technical Discussions
Since this role requires a strong technical understanding of data systems, be ready to discuss your knowledge of data architecture and integration processes. Familiarize yourself with common tools like Visio, MS Word, and Azure DevOps/JIRA, as they may come up in conversation.
✨Communicate Clearly with Stakeholders
Practice explaining complex SCV concepts in simple terms. The ability to communicate effectively with both technical and non-technical stakeholders is crucial, so prepare examples that showcase your communication skills in diverse settings.
