Senior Specialist, Reporting & Data Stewardship
LSEG · Posted Nov 5
Global financial markets infrastructure, data, and analytics services
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About the role
The Metrics Office – Enterprise Reporting & Data Stewardship team supports Colleague Services and Operations Risk & Resilience by delivering enterprise reporting, analytics, data governance, and data stewardship. The role sits within LSEG, a global financial markets infrastructure and data provider, and works across an enterprise data warehouse and Snowflake-based cloud data platform ecosystem with Power BI reporting. This Senior Specialist will partner with business stakeholders, data engineering teams, and technology partners to manage reporting requirements, build dashboards and analytics solutions, drive automation, and maintain robust data pipelines and data quality standards.
What you will do
- Act as a trusted reporting and analytics partner for senior stakeholders across Colleague Services and Operations Risk & Resilience.
- Partner with business leaders to understand strategic and operational reporting requirements.
- Translate business requirements into scalable data, reporting, and dashboard solutions.
- Facilitate workshops, requirements gathering sessions, and stakeholder reviews.
- Present insights and recommendations to leadership audiences in a clear and compelling manner.
- Design, develop, and maintain enterprise reporting solutions, scorecards, and Power BI dashboards.
- Deliver accurate, timely, and business-critical reporting that supports operational and strategic decision-making.
- Develop KPI frameworks, metrics definitions, and reporting standards.
- Drive adoption of self-service analytics and reporting capabilities.
- Convert complex datasets into meaningful business insights and executive-level narratives.
- Act as the Data Steward for assigned domains, ensuring data quality, integrity, lineage, and governance standards are maintained.
- Identify gaps in source system data, business processes, and reporting capabilities.
- Partner with Engineering and Technology teams to onboard new datasets into Snowflake and enterprise data platforms.
- Define data quality controls, validation checks, and reconciliation processes.
- Support the establishment of authoritative data sources and governed metric definitions.
- Ensure compliance with enterprise data governance policies and standards.
- Collaborate closely with Engineering teams to support the design and enhancement of ELT pipelines into CDC and enterprise data warehouse platforms.
- Ensure data pipelines are robust, scalable, and aligned to business requirements.
- Support root-cause analysis of data issues and drive timely resolution.
- Validate source-to-target mappings and data transformations.
- Monitor data freshness, completeness, and reliability across reporting assets.
- Contribute to continuous improvement of enterprise data architecture.
- Identify opportunities to automate manual reporting and operational processes.
- Leverage AI and advanced analytics techniques to improve efficiency, insight generation, and reporting effectiveness.
- Support implementation of predictive and forward-looking analytics where appropriate.
- Drive efficiency improvements through reusable reporting frameworks and automated data pipelines.
Skills used in this role
What the employer is looking for
- Advanced SQL and Snowflake expertise.
- Strong Power BI development and data modelling experience.
- Experience working with enterprise data warehouses and cloud-based data platforms.
- Strong understanding of ELT/ETL concepts and data pipeline architecture.
- Experience with Python, automation frameworks, and analytics tooling.
- Understanding of data quality, lineage, metadata, and governance principles.
- Strong experience managing and influencing senior stakeholders.
- Ability to translate business problems into technical solutions.
- Excellent requirements gathering and business analysis skills.
- Strong communication and storytelling capabilities.
- Ability to operate independently in a fast-paced and evolving environment.
- Must possess at least a Bachelor's/College Degree, relevant field
- Relevant certifications in Snowflake, Power BI, Data Analytics, or Cloud Technologies are advantageous.
- Hybrid working model.
- Flexibility to collaborate with global stakeholders across UK and US time zones as required.
- Ability to support critical business reporting and operational priorities during key reporting cycles.
Preferred qualifications
- Experience within Colleague Services, Shared Services, Operations, Risk, or Resilience domains.
- Knowledge of AI, Copilot, machine learning, or predictive analytics solutions.
- Exposure to Agile delivery methodologies.
- Experience working within global organisations and matrix environments.
- Knowledge of data governance and stewardship frameworks.
- Data modelling and dimensional modelling experience.
Benefits and support
- Healthcare
- Retirement planning
- Paid volunteering days
- Wellbeing initiatives
About LSEG
London Stock Exchange Group (LSEG) is a leading global financial markets infrastructure and data provider. The company operates connected businesses to serve customers across the entire financial markets value chain, including data and analytics, indices, capital formation, trade execution, clearing, and risk management.
- Industry
- Financial Services
- Company size
- 20000+ employees
- Founded
- 2007
- Location
- London, England, UK
- Funding stage
- Public Company
Leadership
Group Chief Executive Officer
Chief Financial Officer
Chief Information Officer
Chief Operating Officer
Group Chief People Officer
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