# Senior Data Analyst II at RELX

RELX is hiring a Senior Data Analyst II. Level rates it Little AI ●○○○; you can [apply on Level](https://jobsbylevel.com/go/13ea8588-3cc6-4b32-8d26-ebceaa452a11?utm_medium=ai-agent).

AI Level 1, AI centrality 26 out of 100. Banglore.

## Details

- Company: [RELX](https://jobsbylevel.com/companies/relx)
- AI level: AI Level 1 (score 26 out of 100)
- Location: Banglore
- Posted: October 14, 2026
- Apply: https://jobsbylevel.com/go/13ea8588-3cc6-4b32-8d26-ebceaa452a11?utm_medium=ai-agent

## Prepare for this job

The job page lists 2 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/senior-data-analyst-ii-at-relx-28a0ed

## Description

Sr Data Analyst II (Content Flow Analytics) Would you like to be part of a team that delivers high-quality software to our customers? Are you a highly visible champion with a ‘can do’ attitude and enthusiasm that inspires others? About our Team:- Elsevier Health applies innovation, facilitates insights, and helps drive more informed decision-making for our customers across global health. We support health providers by providing accessible, trusted evidence-based information; prepare more medical and nursing students with effective tools and resources; provide insights that help clinicians improve patient outcomes; and supports a more personalized and localized healthcare experience. All for the benefit of every patient. About the Role: - The Senior Data Analyst II leads the end-to-end delivery of analytics and reporting that improve content-flow performance , strengthen data-driven decision making , and accelerate continuous improvement across global Operations. This role operates with a high degree of independence—translating ambiguous business questions into structured hypotheses, building the right data products (dashboards, KPI frameworks, deep-dive analysis), and influencing senior stakeholders through clear, story-led insights. Publishing domain exposure is preferred (not mandatory); the role is expected to bring/build a strong understanding of the content journey and operational handoffs, including linked data (CP/LD). (e.g., Content production/management interfaces, supplier touchpoints, workflow steps, quality gates, exceptions/rework loops, throughput and cycle time drivers). The role partners closely with Operations leadership and adjacent teams (e.g., Strategy, Content production operations teams, Finance, Analytics CoE, IT/ Data Warehousing teams) to ensure consistent metrics, trusted data foundations, and measurable operational outcomes. A Senior Data Analyst II is a recognised analytics expert within their domain, increasingly shaping not just outputs but also how the organisation thinks about metrics, quality, and performance management . They coach junior analysts and enable business users to adopt reporting correctly and consistently. Responsibilities: 1) Stakeholder Partnership and Insight Leadership Lead analytics engagements fully independently: clarify objectives, frame hypotheses, define success measures, and drive execution end-to-end. Act as a thought partner to senior stakeholders—guiding them through hypothesis thinking, prioritising the most meaningful metrics, and shaping decisions using evidence. Proactively identify problem areas in the content journey (bottlenecks, defect leakage, rework, delay drivers, supplier variability, workload imbalance) and propose targeted analyses and corrective actions. Present insights and recommendations in compelling, non-technical narratives—tailored to stakeholder context, decision points, and operational realities. Support senior leaders through decision cycles by offering options, trade-offs, impact sizing, and monitoring plans. 2) Reporting, Dashboards, and KPI Delivery Ensure delivery of reports/dashboards/BI structures that meet business requirements and support ongoing trend and performance analysis. Define “best-fit” reporting solutions (what to build, why it matters, and how it will be used), including: KPI definitions and levels (team/manager/function/global views) metric logic, filters, segmentation, and benchmarking approach adoption plan to embed usage into BAU operations Deliver accurate and timely KPI reporting across all relevant stakeholder levels, enabling clear identification of performance focus areas. Partner with Data Management to publish trusted dashboards to Operations users and senior governance forums with consistent definitions and strong data quality controls. 3) Publishing Domain and Content-Flow Process Analytics Apply deep understanding of publishing/content operations to interpret workflow behaviour and identify improvement

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