The Senior Data Analyst II takes ownership of analysis and reporting from the first question to the final result. The work helps content move through our operations faster and more smoothly, supports better decisions based on facts, and speeds up ongoing improvement across our global teams. The role works with a high degree of independence: it turns loosely defined business questions into clear ideas to test, builds the right tools to answer them (dashboards, performance measures, and in-depth studies), and guides senior stakeholders with clear, story-driven insights. Experience in publishing is helpful but not required. What matters is a willingness to learn, or a strong existing grasp of, how content travels from start to finish and where it is handed from one team to another. This includes how content and its connected data are created and managed, where suppliers get involved, the steps in each workflow, the quality checks along the way, the points where work goes wrong or has to be redone, and the factors that drive volume and speed.

The role works closely with operations leaders and neighboring teams, such as strategy, content production, finance, the central analytics group, and technology and data teams. Together they make sure everyone measures success in the same way, relies on trustworthy data, and sees real, measurable improvements in how work gets done.

A Senior Data Analyst II is a recognized expert in their area. They increasingly influence not only what is reported, but also how the organization thinks about measurement, quality, and performance. They coach junior analysts and help business users read and use reports correctly and consistently.

1. Stakeholder Partnership and Insight Leadership

• Lead analytics engagements independently, from clarifying objectives and framing hypotheses to defining success measures and executing end-to-end.
• Act as a thought partner to senior stakeholders: priorities meaningful metrics, offer options, trade-offs, impact sizing and monitoring plans.
• Proactively surface problem areas in the content journey (bottlenecks, defect leakage, rework, delays, supplier variability, workload imbalance) and propose targeted analyses and actions.
• Present recommendations as clear, non-technical narratives tailored to stakeholder context and decision points.

2. Reporting, Dashboards and KPI Delivery

• Deliver reports, dashboards and BI structures that meet business requirements and support trend and performance analysis.
• Define best-fit reporting: KPI definitions and levels (team to global), metric logic, segmentation, benchmarking and an adoption plan to embed usage in BAU.
• Deliver accurate, timely KPI reporting at every stakeholder level; partner with Data Management to publish trusted dashboards with consistent definitions and strong quality controls.

3. Publishing Domain and Content-Flow Process Analytics

• Apply deep knowledge of publishing and content operations to interpret workflow behavior and find improvement opportunities.
• Build measurement frameworks covering throughput and cycle time (lead, queue and touch time), stage-level performance and handoff quality, rework and defect drivers, supplier variation and risk hotspots, and productivity, capacity and workload distribution.
• Work with process owners to turn operational pain points into measurable indicators and actionable improvement levers.

4. Data Preparation, Integration and Engineering Literacy

• Handle large, complex datasets and combine multiple sources using SQL and modern analytics tooling.
• Understand integration mechanics: pipelines, transformations, joins, grain, lineage, refresh cadence and performance constraints.
• Work with big data platforms (Databricks preferred); SQL essential; Python and/or Scala desirable; KNIME, Tableau/Power BI and Snowflake exposure an advantage.
• Bridge business needs and technical implementation so solutions are scalable, maintainable and aligned to platform standards.

5. Advanced Analytics, Modelling and Statistical Thinking

• Apply techniques suited to the problem: trend decomposition, segmentation, cohort analysis, anomaly detection, hypothesis testing, correlation exploration and scenario modelling.
• Develop predictive analytics, basic machine learning and NLP use cases where relevant, and translate outputs into operational recommendations, guardrails and monitoring metrics, not just model accuracy.

6. Data Governance, Quality and Metric Consistency

• Safeguard quality, integrity, completeness, timeliness and reliability; run regular data quality assessments and resolve gaps and discrepancies.
• Align metric definitions across teams to remove inconsistencies between dashboards; lead or co-lead documentation (definitions, KPI logic, change logs, refresh schedules, known limitations).
• Champion a data quality culture in which data trust is foundational to performance management.

7. Coaching, Enablement and Community Leadership

• Coach junior analysts on data preparation, modelling, visualisation standards, stakeholder management and project execution.
• Train and support reporting champions and business users for consistent, effective use of reports; promote problem resolution and best-practice adoption among fellow analysts.

8. Project and Program Contribution

• Lead medium/tactical analytics projects with minimal oversight, managing tasks, blockers, timelines and expectations.
• Join international programs needing analytics/BI expertise: set metrics to monitor success criteria, support planning and resourcing with analysis and documentation, and automate wherever feasible.
• Represent the analytics function in governance discussions and communicate decisions to the wider reporting community.

Education: Bachelor's degree required, with preference for a quantitative discipline (Economics, Math, Statistics, Data Science, Engineering or similar); Master's/PhD a plus, particularly for modelling-heavy work.

Experience: Typically 8+ years in data or business analytics, ideally in a global multinational; preference for exposure to publishing operations, content-flow or equivalent process-heavy domains.

Essential skills: Requirements gathering and stakeholder management; advanced analytical skills with attention to detail; strong SQL on large datasets; high proficiency in Tableau and/or Power BI; excellent communication and decision-oriented data storytelling for non-technical audiences; strong documentation discipline.

Desirable skills: Databricks; Python and/or Scala (not essential); statistical modelling; Snowflake; KNIME or similar tooling; familiarity with data warehousing and modern analytics architectures.

Functional Competencies (Expected Level)

• Thought Partnership: Guides stakeholders through hypothesis-led thinking, selects the most relevant analyses and metrics, and helps set goals aligned to business objectives.
• Data Preparation: Expert at blending data across tools and big data platforms; coaches others.
• Data Modelling: Applies advanced scenarios and statistical approaches to big datasets; coaches modelling techniques.
• Data Visualisation: Designs user-centric dashboards and influences stakeholders through high-impact communication.
• Data-Driven Culture: Identifies barriers and opportunities, proposes practical solutions, and influences beyond the analytics team.
• Domain Skills: Advanced understanding of content-flow and publishing operations; builds working knowledge of adjacent domains.
• Project Management: Leads medium/tactical projects, resolves blockers, assigns work effectively and coaches juniors.

Behaviours (Advancing Leader | Professional Individual Contributor)

• Collaborate to Deliver: Enable winning teams through collaboration and constructive challenge; coach and develop talent; communicate with clarity; lead inclusively and minimise bias.
• Drive Commercial Edge: Act strategically and anticipate future needs; prioritise customers using data; value data through benchmarks and accuracy checks; deliver sustainable performance with ownership.
• Act with Agility: Think enterprise-wide and cross-RELX; stay curious about new tools and techniques; navigate ambiguity with considered, calculated decisions; build networks across cultures and geographies.

What Success Looks Like

• Stakeholders consistently use dashboards and insights to run performance conversations and drive action.
• Content-flow bottlenecks and quality pain points are quantified, explained and improved through measurable interventions.
• KPI definitions and reporting logic are consistent across teams, and data trust improves through governance and documentation.
• Junior analysts and reporting champions grow through structured coaching and enablement.

Analytics delivery becomes faster, more scalable and more embedded in BAU operations

We promote a healthy work/life balance and provide various well-being initiatives, shared parental leave, study assistance, and sabbaticals to help you meet both your immediate responsibilities and long-term goals.

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

• Comprehensive Health Insurance: Covers you, your immediate family, and parents.
• Enhanced Health Insurance Options: Competitive rates negotiated by the company.
• Group Life Insurance: Ensuring financial security for your loved ones.
• Group Accident Insurance: Extra protection for accidental death and permanent disablement.
• Flexible Working Arrangement: Achieve a harmonious work-life balance.
• Employee Assistance Program: Access support for personal and work-related challenges.
• Medical Screening: Your well-being is a top priority.
• Modern Family Benefits: Maternity, paternity, and adoption support.
• Long-Service Awards: Recognizing dedication and commitment.
• New Baby Gift: Celebrating the joy of parenthood.
• Subsidized Meals in Chennai: Enjoy delicious meals at discounted rates.
• Various Paid Time Off: Take time off with Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays.
• Free Transport pick up and drop from the home -office - home. (Applicable for Bangalore & Chennai).

We are a global leader in information and analytics, helping researchers and healthcare professionals' advance science and improve health outcomes. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science, research, health education, interactive learning, and exceptional healthcare and clinical practice. At Elsevier, your work contributes to addressing the world's grand challenges and creating a more sustainable future. We harness innovative technologies to support science and healthcare, partnering for a better world. We combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. What you do every day will help advance science and healthcare to advance human progress







 We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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