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Elsevier

Senior Research Analyst

Posted 18 Days Ago
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In-Office
2 Locations
Senior level
In-Office
2 Locations
Senior level
The Senior Research Analyst will consult with clients, execute studies, analyze data, and create visualizations to support research evaluation needs.
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Do you have experience in bibliometrics, research evaluation, and/or study design?

Would you like to work directly with clients regarding their research analytics, strategy and evaluation needs?

About our Team

As a leading international provider of high-quality bibliometric and research evaluation services, the Analytical and Data Services (ADS) team helps position Elsevier as a trusted partner of the leading institutions, funders, and governments it serves.

About the Role

As a research analyst, you will act as a consultant, working directly with clients to understand and meet their research analytics, strategy and evaluation needs.

Learn more about us:

  • Home - Science-Metrix
  • Analytical Services | Research performance and impact analysis | Elsevier

Responsibilities

As a research analyst, you will lead the design, execution and validation of key studies. Your key responsibilities will include:

  • Communicating with clients.
  • Drafting project proposals.
  • Providing meaningful narratives and insights based on findings.
  • Producing and developing visualizations.
  • Analyzing data (including descriptive statistics and modeling).
  • Computing indicators.
  • Preparing and conditioning data.
  • Managing project execution and validation.
  • Contributing to developing new indicators and products to support the evolving needs of research performing and funding organizations.

Requirements

  • Able to manage client relations (e.g., active listening, building trust, presenting results, addressing comments)
  • Experience in bibliometrics, research evaluation, and/or study design. If lacking this experience, candidates should demonstrate a strong interest in exploring new activities (e.g., analysis, coding for data manipulation and indicator production) in areas such as bibliometrics, research evaluation, and STI policy
  • Be proficient in data analysis, visualization, and interpretation for evidence-based decision-making
  • Experience delivering key insights in a variety of format (e.g., dynamic dashboards, databooks, presentations, written reports)
  • Experience working independently
  • Experience managing multiple projects and working in an agile environment, valued.
  • Have skills in data extraction, transformation, curation, enrichment, and coding (SQL, Python, Pyspark), valued.

Work in a way that works for you

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working for you

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:

  • Health plan benefits
  • Employee Assistance Program
  • Retirement Benefits
  • Various Leave Programs
  • Educational Assistance
  • Disability, Life and Accidental Death Insurance
  • Paid Vacation
  • Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

About the Business

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, 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. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

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Top Skills

Pyspark
Python
SQL

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