Lead Data Analyst

Albany Beck
London, UK
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Business Logic Information Engineering Data Governance Data Warehousing Database Queries Scrum Methodology SQL Databases Data Streaming Enterprise Data Management Data Strategy Data Lineage
+1 more
Tools for Reporting

Job description

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., * 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.

Requirements

  • 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.

About the company

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. As an Albany Beck Consultant, you will be employed by Albany Beck and deployed into one of our key financial services clients.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on find.jobs

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

9:51 min

Live demonstration of dynamic data redaction plugins

Tom Kaltofen Tom Kaltofen +1 · Europe 2026 Virtual

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · WWC 2023

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · WWC 2024

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:53 min

Mapping end-to-end data lineage for regulatory compliance

Ferd Scheepers · WWC 2022

1:17 min

Transitioning from academic physics to data science leadership

Katja Träumner

Videos

See all

Related articles

See all