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- Tasks: Join us as a Data-Focused Business Analyst to enhance decision-making through data models and lineage maps.
- Company: Work with a global leader in business intelligence, publications, and events.
- Benefits: Enjoy remote work flexibility with minimal travel and a competitive contract.
- Why this job: Be part of a transformative program that impacts technology and digital services on a global scale.
- Qualifications: Bachelor’s degree in Computer Science or related field; familiarity with modern data platforms required.
- Other info: This is a 6-month contract role, primarily remote, with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
Business Analyst – Data
Are you a data-driven professional passionate about creating scalable solutions that enhance decision-making and business intelligence? We are seeking a Data-Focused Business Analyst to join a transformative program aimed at building a robust, secure, and scalable technology foundation.
This for our client who are a Global Business Intelligence, Publications and events group. This will be on an initial 6 month contract, mainly remote working with minimal travel to London and Inside IR35.
About the Role
As a Data-Focused Business Analyst , you will play a key role in a strategic data management project designed to improve visibility, control, and decision-making around technology and digital services. Your primary focus will be designing and delivering data models and lineage maps to support the development of an enterprise data platform that processes technology metadata and drives business intelligence capabilities.
Key Responsibilities:
- Data Asset Modelling: Create comprehensive data models and lineage maps that guide development efforts.
- Data Platform Development: Work closely with the development team to build a scalable platform that processes metadata from diverse systems.
- UAT and Quality Assurance: Lead user acceptance testing, identify and resolve bugs, and ensure data assets meet design and quality standards before production release.
- Business Intelligence Support: Assist in creating detailed BI reports to provide actionable insights for stakeholders.
What You'll Deliver
- Data Lineage Maps: Clear, detailed lineage maps that support data governance and compliance.
- Prioritised Data Assets: Maintain and update a backlog of data assets to address evolving business and technical needs.
- Validated Data Assets: Ensure rigorous testing processes are followed and deliverables meet the highest quality standards.
- Impactful Reporting: Contribute to progress reviews with detailed updates and enhanced reporting capabilities.
What We’re Looking For
- Education: Bachelor’s degree in Computer Science, Information Systems, Business Analytics, or a related field.
- Technical Expertise: Familiarity with modern data platforms such as MS Fabric, Synapse Notebooks, PySpark, and Delta Lake.
- Analytical & Problem-Solving Skills: Strong capabilities in analyzing data, understanding transformation rules, and conducting integrity checks.
- Data Modelling Knowledge: Proficiency in designing and documenting complex data models and lineage maps.
- Stakeholder Engagement: Experience gathering and articulating requirements, building strong stakeholder relationships, and providing clear, proactive feedback.
- Project Management Insight: Ability to manage tasks within sprints, ensure timely delivery, and contribute to sprint planning and progress tracking.
- Communication & Collaboration: Excellent interpersonal skills to work effectively across diverse teams and present findings and insights clearly.
Business Analyst - Data employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Analyst - Data
✨Tip Number 1
Familiarize yourself with the specific data platforms mentioned in the job description, like MS Fabric and Synapse Notebooks. Having hands-on experience or relevant projects to discuss can really set you apart during conversations.
✨Tip Number 2
Prepare to showcase your analytical and problem-solving skills by thinking of examples where you've successfully analyzed data or resolved complex issues. Be ready to discuss these scenarios in detail during your interviews.
✨Tip Number 3
Engage with professionals in the field through networking platforms like LinkedIn. Connecting with current or former employees of the company can provide valuable insights and potentially even referrals.
✨Tip Number 4
Brush up on your communication and collaboration skills. Since this role involves working across diverse teams, being able to articulate your thoughts clearly and work well with others will be crucial.
We think you need these skills to ace Business Analyst - Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Focus on your data modeling, analytical skills, and any experience with modern data platforms like MS Fabric or PySpark.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data-driven decision-making and your ability to create scalable solutions. Mention specific projects where you've successfully implemented data models or supported business intelligence initiatives.
Highlight Technical Expertise: In your application, emphasize your familiarity with the required technical tools and platforms. Provide examples of how you've used these technologies in past roles to enhance data management or reporting.
Showcase Stakeholder Engagement: Demonstrate your experience in gathering requirements and building relationships with stakeholders. Include examples of how you've effectively communicated insights and contributed to project management in previous positions.
How to prepare for a job interview at Lorien
✨Showcase Your Data Expertise
Be prepared to discuss your experience with data modeling and lineage mapping. Highlight specific projects where you successfully designed data models or contributed to the development of data platforms.
✨Demonstrate Problem-Solving Skills
Prepare examples that showcase your analytical and problem-solving abilities. Discuss how you've approached complex data challenges and the methods you used to ensure data integrity.
✨Engage with Stakeholders
Illustrate your experience in gathering requirements and building relationships with stakeholders. Be ready to share how you effectively communicated insights and feedback to drive project success.
✨Familiarize Yourself with Relevant Tools
Research the modern data platforms mentioned in the job description, such as MS Fabric and PySpark. Being knowledgeable about these tools will demonstrate your technical expertise and readiness for the role.
