# Senior Specialist, Reporting & Data Stewardship

**Company**: London Stock Exchange Group (LSEG)
**Location**: Bangalore, RMZ Infin
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Finance

**Apply**: https://lseg.wd3.myworkdayjobs.com/en-US/Careers/job/IND-Bangalore-TowerERMZ-Infin/Senior-Specialist--Reporting---Data-Stewardship_R0124612?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/senior-specialist-reporting-and-data-stewardship-0eb422cd-038/

## Description

We are seeking a highly motivated Senior Specialist, Reporting & Data Stewardship to support the delivery of enterprise reporting, analytics, data governance, and data stewardship across Colleague Services and Operations Risk & Resilience.

This role will act as a key partner to business stakeholders, data engineering teams, and technology partners to ensure trusted, scalable, and actionable data is available for decision-making. The successful candidate will be responsible for managing reporting requirements, developing dashboards and analytics solutions, driving automation opportunities, and ensuring robust data pipelines and data quality standards are maintained within the enterprise data warehouse ecosystem.

**Key Responsibilities**

**Stakeholder Engagement & Business Partnership**

- 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.

**Reporting, Dashboards & Analytics**

- 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.

**Data Stewardship & Governance**

- 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.

**Data Engineering & Warehouse Enablement**

- 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.

**Automation & Continuous Improvement**

- 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.

**Required Skills & Experience**

**Technical Skills**

- 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.

**Business & Stakeholder Skills**

- 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.

**Desirable Skills**

- 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.

**Working Requirements**

- 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.

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## Skills

### Required
- SQL
- Snowflake
- Power BI
- Python
- ELT/ETL
- Data Modelling
- Data Governance

### Nice to have
- AI
- Machine Learning
- Predictive Analytics
- Agile Delivery
- Data Stewardship

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