Hybrid Institutional Research & Analytics Analyst

Hybrid Institutional Research & Analytics Analyst

Full-Time 29700 - 36300 £ / year (est.) Home office (partial)
Temple University

At a Glance

  • Tasks: Transform data into insights through advanced analysis and visualisation.
  • Company: Temple University, a leader in education and research.
  • Benefits: Competitive salary, professional development, and a supportive work environment.
  • Other info: Join a dynamic team dedicated to enhancing institutional effectiveness.
  • Why this job: Make a real impact on strategic planning with your analytical skills.
  • Qualifications: Experience in data analysis and strong collaboration skills.

The predicted salary is between 29700 - 36300 £ per year.

Temple University invites applications for a Research Analyst II in its Institutional Research & Assessment Department.

The role supports strategic planning with advanced data analysis, forecasting, and reporting for internal and external audiences.

You will transform data into insights using dashboards and visualizations, and collaborate with stakeholders to define analytical needs while upholding data governance.

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Hybrid Institutional Research & Analytics Analyst employer: Temple University

Temple University’s School of Pharmacy is an exceptional employer, offering a vibrant work culture that prioritises collaboration and community engagement. Employees benefit from a comprehensive package that includes full medical coverage, generous paid time off, and tuition remission, fostering both personal and professional growth. Located in a dynamic educational environment, this role provides unique opportunities to make a meaningful impact through alumni and development fundraising.

Temple University

Contact Details:

Temple University Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Hybrid Institutional Research & Analytics Analyst

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We think you need these skills to ace Hybrid Institutional Research & Analytics Analyst

Data Analysis
Forecasting
Reporting
Dashboard Creation
Data Visualisation
Stakeholder Collaboration
Analytical Needs Assessment

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at Temple University, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Temple University. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Temple University

Brush Up on Your Statistics

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Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Temple University!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.