Data Analyst

Data Analyst

Are you looking to develop your Data Analyst career?Do you have analytical skills and a drive to learn new technology?About our Team

At STM Journals (STMJ), we collaborate with researchers to facilitate the publication of their impactful scientific discoveries, with a focus on rigorous peer review, ethics, and research integrity. In support of our portfolio of 2700+ hybrid and open access scientific journals, you will actively contribute to advancing science, improving health outcomes, and fostering equitable participation in publishing.About the Role

The role of the Data Analyst I is to provide support to the STMJ Data and Analytics team to deliver analytics solutions and insights to our internal users. In this role you will be utilising analytics technologies such as SQL, data warehousing, Excel and Tableau dashboards to produce data outputs and analyses. This is an entry-level position in an internal-facing team and you would be supported with internal training resources and by more senior data analysts to help guide you in developing your data analyst skills. The Data Analyst I role is mapped to a dedicated Data and Analytics career framework, which clear development opportunities and career path options.

Responsibilities:

Support and learn from more senior analysts by contributing to analytics tasks and projects

Receive and interpret requests from business users and identify the appropriate analytics solution for those requests

Extract, clean and blend data to prepare it for analysis

Perform analysis on data and prepare appropriate insights to share with internal users

Communicate analytics findings and outputs to internal users, participating in presentations where necessary

Proactively identify opportunities to improve efficiency and drive value within the team

Qualifications:

Has knowledge of common analytics technologies such as SQL, relational databases, Excel and has used some of these tools

Can apply basic techniques to blend data sources and run quality checks to prepare data for analysis

Has knowledge of basic statistical analysis concepts and where to use them

Able to identify, create and present the appropriate data visualizations to address a business problem

Be detail-orientated and possess excellent problem-solving skills

Work in a way that works for youWe promote a healthy work/life balance across the organisation. 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 flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working for youWe 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 BusinessA 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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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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