Digital & Agentic Analytics Manager

LSEG (London Stock Exchange Group)

. Build testing and measurement capability for digital journeys, agentic workflows and go-to-market campaigns .

Posted 10/5/2026full-timeBangalore • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading measurement projects, translating usage and consumption data into actionable business recommendations, and improving data quality and reporting. Proficient in data extraction, analysis, and visualization to support decision-making in digital journeys and agentic workflows.

Highest-signal resume keywords

Measurement Project LeadershipData Visualization Using Power BISQL ProficiencyA/B Testing DesignAgentic AI Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ExtractionData AnalysisData ManagementData ManipulationAnalytical ReasoningResults PresentationExperimentation FrameworksUsage Data TranslationCustomer RecommendationsData Quality Improvement

Soft Skills

Concise CommunicationRelationship Building

Tools & Technologies

Power BISQLETL ToolsSnowflakeAgent Orchestration Platforms

Industry Keywords

Digital JourneysAgentic WorkflowsGo-To-Market CampaignsCustomer SatisfactionData Quality

Tech Stack

Tools & technologies

ETLSQL

About the role

Key responsibilities & impact

Build testing and measurement capability for digital journeys, agentic workflows and go-to-market campaigns
Measure impact using usage, consumption and customer satisfaction outcomes
Turn launches into verdicts and clear recommendations on what to scale, change or stop
Measure digital and agentic initiatives consistently to support prioritization and faster customer value realization
Understand stakeholders' questions and opportunities and advise on testing and measurement
Lead measurement projects from defining objectives, outcomes, questions and hypotheses through data extraction, analysis, management and results presentation
Present outcome evidence and recommendations to senior business partners
Translate usage and consumption data into customer and business implications
Identify opportunities to improve underlying data quality and reporting

Requirements

What you’ll need

Deep understanding of how usage and outcome data can advise decisions on digital journeys, agentic workflows and go-to-market campaigns
Practical understanding of agentic AI and autonomous agent systems
Ability to build positive relationships across SAM, Digital, Product Analytics, agentic delivery and product teams
Experience leading measurement projects from start to finish
Experience with data requirements, data extraction and manipulation, analysis, management, and results presentation
Ability to communicate concisely to senior audiences
Ability to translate usage and consumption data into customer and business recommendations
Ability to identify improvements in data quality and reporting
Strong analytical reasoning skills
Expertise using data visualization tools such as Power BI
Familiarity with agentic AI concepts and tools, including agent orchestration platforms and retrieval-augmented generation
Experience writing SQL and using ETL tools with a data warehouse such as Snowflake
Ability to design and run A/B tests and experimentation frameworks
Ability to explain technical subjects to non-technical colleagues
Comfortable working with large, complex datasets from multiple sources

Benefits

Comp & perks

Healthcare
Retirement planning
Paid volunteering days
Wellbeing initiatives
Reasonable accommodation for religious practices and beliefs, and mental health or physical disability needs
Fundraising and volunteering opportunities through the LSEG Foundation