RELX visame pasaulyje kuria informacija pagrįstus analizės ir sprendimų priėmimo įrankius profesionalams bei verslo klientams. Jos produktai sujungia specializuotą turinį, duomenis ir technologijas, kad padėtų priimti geresnius sprendimus ir pasiekti geresnių rezultatų rizikos valdymo, mokslo, technikos ir medicinos, teisės bei parodų srityse. RELX taip pat veikia konsultavimo, sveikatos priežiūros ir su draudimu susijusiose rinkose, padėdama organizacijoms didinti produktyvumą, valdyti riziką, skatinti mokslinius tyrimus, teikti paramą teisiniam darbui ir veiksmingiau vykdyti verslo sandorius.
Senior Data Analyst, Elsevier Health
Lead analytics for Elsevier Health’s content operations, building dashboards and KPIs to improve publishing workflows. Apply advanced analysis to support reliable, data-informed delivery of healthcare information.
Aprašymas
- Own analytics projects from defining objectives and hypotheses through delivery.
- Advise senior stakeholders and support decisions with evidence.
- Find bottlenecks in content journeys, including defects, rework, delays, supplier variation, and workload imbalances.
- Create reports, dashboards, BI structures, KPI frameworks, and trend and performance analyses.
- Set KPI logic, filters, segmentation, benchmarking methods, and adoption plans.
- Publish reliable dashboards with Data Management for Operations users and governance forums.
- Assess content-flow throughput, cycle times, handoffs, exceptions, rework, defects, supplier performance, productivity, capacity, and workload distribution.
- Combine large datasets from multiple systems using SQL and analytics tools.
- Translate business needs into scalable, maintainable technical solutions.
- Use trend decomposition, segmentation, cohort analysis, anomaly detection, hypothesis testing, scenario modelling, predictive analytics, machine learning, and NLP as appropriate.
- Assess data quality and address reporting gaps and discrepancies.
- Keep metric definitions consistent across dashboards and stakeholder reports.
- Document data definitions, KPI logic, reporting updates, refresh schedules, and limitations.
- Coach junior analysts, reporting champions, and business users.
- Lead medium-sized and tactical analytics projects and contribute to international analytics and BI programs.
- Track project success measures, support planning and resourcing, enable automation, and represent analytics in governance discussions.
Reikalavimai
- A bachelor’s degree is required; a quantitative field such as economics, mathematics, statistics, data science, or engineering is preferred.
- Typically 5–8 years of experience in data or business analytics.
- Strong SQL skills and confidence working with large datasets.
- High proficiency in Tableau and/or Power BI.
- Experience gathering requirements and managing stakeholders.
- Advanced analytical ability with strong attention to detail and accuracy.
- Excellent communication and presentation skills for nontechnical audiences.
- Strong documentation practices.
- Exposure to statistical modelling and the ability to choose suitable techniques.
- Databricks experience is preferred.
- Python and/or Scala experience is desirable but not essential.
- Snowflake experience is an advantage.
- Experience with KNIME or similar tools.
- Familiarity with data warehousing and modern analytics architectures.
- Publishing operations and content-flow experience is preferred; experience in a comparable process-intensive operations domain is also relevant.
- Experience with large, complex datasets, data integration, data engineering concepts, big data platforms, and analytics tools.
- Knowledge of predictive analytics, basic machine learning applications, and relevant NLP use cases.
- Ability to coach junior analysts and support business users.
- Ability to lead medium-sized and tactical analytics projects with minimal oversight.
Privalumai
- Support for a healthy work-life balance.
- Well-being initiatives.
- Shared parental leave.
- Study assistance.
- Sabbatical leave.
- 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 for a new baby.
- Subsidized meals in Chennai.
- Casual leave.
- Sick leave.
- Privilege leave.
- Compassionate leave.
- Special sick leave.
- Gazetted public holidays.
- Free home-to-office and office-to-home transport in Bangalore and Chennai.