At a Glance
- Tasks: Lead finance data analysis and support a major transformation programme in the insurance sector.
- Company: Join Albany Beck, a consultancy transforming financial services with innovative solutions.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to work on cutting-edge data platforms and agile environments.
- Why this job: Make a real impact in finance and data transformation while collaborating with top industry professionals.
- Qualifications: Strong finance knowledge, experience in data analysis, and excellent stakeholder management skills.
The predicted salary is between 60000 - 80000 £ per year.
Location: London, minimum one day per week in the office
Engagement Type: Albany Beck Consultant
Client Industry: London Market Insurance
About Albany Beck
Albany Beck is a professional services and management consultancy specialising in delivering transformation and change across financial services. We partner with leading banks, insurers, asset managers and other regulated organisations to provide experienced consultants who support critical business, technology, data and regulatory programmes.
Role Overview
Albany Beck is seeking an experienced Lead Finance Data Analyst to join us here at Albany Beck as we support a major finance and data transformation programme within the insurance sector. The role will sit at the intersection of Finance, Data and Transformation, supporting the rollout of a new data platform and the delivery of a wider finance transformation roadmap. The successful candidate will work closely with Finance stakeholders, Data Engineering, Analytics and Architecture teams to understand current reporting processes, define future-state requirements and translate these into practical data, analytics and reporting solutions. This is a finance-led data role requiring someone with strong accountancy or finance knowledge, insurance domain experience and the ability to engage credibly with senior Finance stakeholders. Experience with IFRS reporting is highly desirable, while previous exposure to Phinsys would be a significant advantage.
Key Responsibilities
- Lead finance-focused data analysis across a major transformation and data platform programme.
- Engage with Finance stakeholders to understand current reporting processes, business requirements and transformation priorities.
- Elicit, analyse and document requirements for current IFRS reporting and future-state finance solutions.
- Translate complex finance requirements into clear data, analytics and reporting requirements.
- Identify and prioritise finance data use cases based on business value and strategic importance.
- Develop and validate finance data models, data definitions, business rules and reporting logic.
- Design and develop SQL queries for data analysis, reconciliation and reporting.
- Produce prototype reports and analytical outputs to validate requirements with stakeholders.
- Analyse existing finance data flows and identify opportunities to improve data quality, consistency and controls.
- Work closely with Data Engineering teams to ensure finance requirements are correctly understood and delivered.
- Collaborate with Analytics and Architecture teams to ensure solutions align with the wider data strategy.
- Support the definition of finance data standards, ownership and governance processes.
- Identify data quality issues, investigate root causes and support remediation activity.
- Facilitate workshops with Finance SMEs and technical teams to gather and validate requirements.
- Support backlog creation, refinement, prioritisation and acceptance criteria within an agile environment.
- Participate in sprint planning, stand-ups, showcases and wider programme governance.
- Provide regular progress updates and proactively manage risks, issues and dependencies.
- Ensure requirements, data models, business logic and data flows are fully documented.
- Provide knowledge transfer and handover to internal teams at the end of the engagement.
Key Experience
- Strong professional experience within finance, accountancy, finance transformation or finance data analysis.
- Experience working as a Lead Data Analyst, Finance Data Analyst, Finance Business Analyst or similar.
- Strong understanding of finance reporting processes and accounting data.
- Experience working with IFRS reporting requirements.
- Previous experience within insurance, ideally within the London Market or Lloyd’s insurance environment.
- Strong SQL skills, including developing queries for data analysis, reconciliation and reporting.
- Experience analysing complex finance datasets, data models and data flows.
- Experience translating finance requirements into data, analytics and reporting solutions.
- Strong requirements gathering, documentation and validation skills.
- Experience working with enterprise data platforms, data warehouses or reporting environments.
- Strong understanding of data governance, data quality, data lineage and data ownership.
- Experience identifying and resolving finance data quality and reconciliation issues.
- Strong stakeholder management skills across Finance and technical teams.
- Experience working with Data Engineering, Analytics and Architecture teams.
- Experience operating within an agile delivery environment.
- Ability to work independently, manage ambiguity and drive delivery.
- Excellent analytical, communication and documentation skills.
- Previous experience using Phinsys would be highly desirable.
- A recognised accountancy, business analysis or insurance qualification would be advantageous.
Lead Data Analyst in Slough employer: Albany Beck
Albany Beck is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets finance. With a strong focus on employee growth and development, we provide opportunities for our consultants to engage in transformative projects within the insurance sector, fostering collaboration with leading financial services clients. Our culture promotes agility and inclusivity, ensuring that every team member's contributions are valued while enjoying the benefits of a flexible working arrangement.
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We think you need these skills to ace Lead Data Analyst in Slough
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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✨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
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✨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.
