At a Glance
- Tasks: Lead a team of analysts to deliver actionable insights and manage complex data initiatives.
- Company: Join a dynamic travel company focused on creating unforgettable experiences.
- Benefits: Enjoy hybrid working, competitive salary, and exclusive colleague discounts.
- Other info: Opportunity for professional growth and to work with cutting-edge AI tools.
- Why this job: Be at the forefront of data analysis and drive innovation in the travel industry.
- Qualifications: Extensive experience in business analysis and strong leadership skills required.
The predicted salary is between 60000 - 80000 £ per year.
As our new Lead Business Analyst - Data, you will be the heartbeat of our Data Domain analysis capability. In this pivotal hands-on leader role, you will be responsible for the coordination of business analysis efforts within your domain, ensuring the right people are working on the right initiatives. You will balance hands-on strategic analysis with the line management and development of your team, ensuring we continue to deliver actionable insights to the business.
You’ll have access to a wide range of benefits, including:
- Hybrid working (we’re in the office 2 days per week).
- Colleague discounts on Jet2.
- Competitive salary and benefits package (including our discretionary profit share scheme).
We work together to really drive forward a ‘Customer First’ ethos, creating unforgettable package holidays and flights. Partner closely with Product Managers, Business Stakeholders, Architects, and Engineering Managers to break down complex portfolio epics and strategic initiatives into smaller, iterative value drops.
Key Responsibilities:
- Coordinate the allocation of Business Analysis resources across Pre-Delivery and Delivery to ensure analysis momentum.
- Retain hands-on responsibility for the elicitation and analysis of critical or strategic initiatives, setting the standard for the team.
- Work hand in hand with Agile Delivery Leads, ensuring impediments, risks and dependencies are understood and managed effectively.
- Act as the driving force for AI and agentic tool adoption within the BA workflow, automating routine documentation, user story creation, and requirement mapping.
- Decouple delivery demand from headcount growth by discovering and implementing clever, AI-augmented workflows that maximise squad throughput.
- Champion the use of advanced Business Process Modelling and Data Modelling (e.g. Entity Relationship Diagrams) within the team, ensuring complex workflows and data structures are accurately visualised and governed.
- Take responsibility for the Line Management of Business Analysts within your domain, executing regular 1-to-1s, conducting performance reviews, and building targeted development plans.
- Drive the continuous professional development of your team, ensuring knowledge is shared across data domains and that analysts are upskilled in the latest modern data pipelines and tools.
- Lead the peer review process alongside Senior BAs to ensure all requirements, business rules, and models meet our high-quality standards before development begins.
- Work alongside the Business Analyst Manager to identify talent, conduct interviews, and onboard new members into the team.
- Partner with counterparts in Application Development to ensure analysis is aligned, dependencies are managed, and the end-to-end data journey is understood.
- Champion the translation of complex business concepts into robust functional and non-functional requirements, partnering continuously with Architects and Engineering Managers to shape technical design and ensure absolute clarity of business value.
- Orchestrate the strategic allocation of Business Analysts across Agile Release Trains and value streams, ensuring teams are sustainably resourced to maintain continuous delivery and alignment with enterprise agile cadences.
Qualifications:
- Extensive experience as a Business Analyst with a strong record of delivering value in complex Data Domains.
- Proven experience in Line Management, with a passion for developing people, conducting performance reviews, and building high-performing teams.
- Expert-level understanding of the Scaled Agile Framework (SAFe) and how product, architecture, and engineering interface within an Agile Release Train (ART).
- Experience working with Engineering Managers and Delivery Leads to triage and allocate work in a fast-paced Agile environment.
- Strong experience operating within complex, data-centric enterprise environments (Business Intelligence, Data Warehousing, Data Science, or Analytics Engineering).
- Conceptual and practical familiarity with modern cloud data platforms (Snowflake, AWS) and data pipelines (dbt, ETL/ELT workflows).
- Active curiosity and comfort leveraging Generative AI tools to streamline administrative and analytical outputs.
- Expert-level skills in Requirements Engineering, Business Process Modelling (e.g. UML Activity Diagrams, BPMN), and Data Modelling.
- Exceptional storytelling and translation skills—capable of refining complex data engineering issues for business executives and business needs for technical squads.
- The ability to see the 'bigger picture,' understanding how data flows across different delivery domains, data domains and managing dependencies accordingly.
Join us as we redefine travel experiences and create memories for millions of passengers.
Lead Dynamics Business Analyst in Leeds employer: Jet2.com
Jet2.com is an excellent employer that values impactful QA leadership within a supportive and collaborative environment. Located in the vibrant Leeds City Centre, employees benefit from a hybrid work model that promotes work-life balance, alongside opportunities for professional growth and development. The company fosters a culture of continuous learning, ensuring that team members are equipped with the latest skills and knowledge to excel in their roles.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Dynamics Business Analyst in Leeds
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We think you need these skills to ace Lead Dynamics Business Analyst in Leeds
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Jet2.com. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Jet2.com
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Jet2.com!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
