RELX develops information-based analytics and decision tools for professional and business customers worldwide. Its products combine specialized content, data, and technology to support better decisions and stronger outcomes across Risk, Scientific, Technical & Medical, Legal, and Exhibitions. RELX also operates across consulting, healthcare, and insurance-related markets, helping organizations improve productivity, manage risk, advance research, support legal work, and conduct more effective business transactions.
Senior Data Analyst, Content Operations
Improve content-flow performance, KPI reporting, and data quality at Elsevier. Use analytics to support global healthcare information and publishing operations.
Description
- Independently lead analytics engagements from defining objectives and hypotheses through delivery.
- Work with senior stakeholders to inform evidence-based decisions.
- Find bottlenecks, defects, rework, delays, supplier variation, and workload imbalances in content journeys.
- Produce reports, dashboards, BI structures, KPI frameworks, and performance analyses.
- Set KPI logic, segmentation, benchmarking, and adoption plans.
- Publish reliable dashboards with consistent definitions and data-quality controls.
- Analyze content-flow throughput, cycle times, handoffs, exceptions, rework, defects, supplier performance, productivity, capacity, and workload distribution.
- Combine large datasets from multiple systems with SQL and modern analytics tools.
- Apply data integration, transformation, joining, lineage, refresh, and performance concepts.
- Use trend decomposition, segmentation, cohort analysis, anomaly detection, hypothesis testing, scenario modelling, predictive analytics, machine learning, and NLP where relevant.
- Assess data quality and resolve reporting gaps and discrepancies.
- Align metric definitions and document data definitions, KPI logic, change logs, refresh schedules, and limitations.
- Coach junior analysts, reporting champions, and business users.
- Lead medium-sized tactical analytics projects and contribute to international programs.
- Support planning, resourcing, automation, governance discussions, and communication across the reporting community.
Requirements
- A bachelor’s degree is required; a quantitative field such as Economics, Mathematics, Statistics, Data Science, Engineering, or a similar discipline is preferred.
- Typically 5–8 years of experience in data or business analytics.
- Publishing operations, content-flow processes, or comparable process-intensive operations experience is preferred.
- Experience gathering requirements and managing stakeholders.
- Advanced analytical ability, with strong attention to detail and accuracy.
- Strong SQL skills and confidence working with large datasets.
- High proficiency in Tableau and/or Power BI.
- Excellent communication and presentation skills for non-technical audiences.
- Strong documentation practices.
- Databricks experience is preferred.
- Python and/or Scala experience is desirable but not essential.
- Exposure to statistical modelling.
- Snowflake experience is an advantage.
- Experience with KNIME or similar tools.
- Familiarity with data warehousing and modern analytics architectures.
- Advanced understanding of content-flow or publishing operations.
- Ability to lead medium-sized tactical analytics projects and coach junior team members.
Benefits
- Support for a healthy work-life balance.
- Well-being initiatives.
- Shared parental leave.
- Study assistance.
- Sabbaticals.
- Comprehensive health insurance for the employee, immediate family, and parents.
- Enhanced health insurance options.
- Group life insurance.
- Group accident insurance.
- Flexible working arrangements.
- Employee Assistance Program.
- Medical screening.
- Maternity, paternity, and adoption support.
- Long-service awards.
- A gift to celebrate a new baby.
- Subsidized meals in Chennai.
- Casual, sick, privilege, compassionate, and special sick leave, plus gazetted public holidays.
- Free transport between home and the office in Bangalore and Chennai.