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- Tasks: Enter, clean, and analyse data while collaborating with program staff.
- Company: Loyal Source, a military-friendly workforce solutions provider based in Orlando.
- Benefits: Gain valuable experience in data science with a supportive team environment.
- Other info: Join a dynamic team with opportunities for growth and development.
- Why this job: Make an impact by analysing data that supports vital government healthcare initiatives.
- Qualifications: Bachelor’s degree in a quantitative or social science and proficiency in Microsoft Office.
The predicted salary is between 30000 - 40000 £ per year.
Responsibilities:
- Enter, clean, and conduct basic data manipulation and analysis.
- Operate in consultation with POTFF program staff and the Government’s POTFF biostatistician.
- Build and disseminate databases and spreadsheets designed to record POTFF related programmatic data.
- Provide consultation and assistance to supported units and POTFF staff to identify opportunities and methods for capturing data relating to POTFF programs and initiatives.
- Prepare reports and presentations that accurately convey data trends and associated analysis.
- Granted access to Government systems to enter and analyze data.
Qualifications:
- Bachelor’s degree in quantitative science, social science, or related discipline.
- Proficient with the suite of Microsoft Office programs, including Word, Excel, and Access.
- Basic proficiency with commonly used statistical software applications (e.g., SPSS, SAS, and R).
- Excellent communication skills.
- Highly detail-oriented and organized.
Data Scientist I in Suffolk employer: Loyal Source
Contact Detail:
Loyal Source Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist I in Suffolk
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Loyal Source on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your data manipulation skills. We know you’ve got the basics down, but being able to discuss specific examples of how you've cleaned and analysed data will really impress the hiring team.
✨Tip Number 3
Show off your communication skills! When discussing your past experiences, make sure to explain complex data trends in simple terms. This will demonstrate that you can convey important information clearly, which is key for the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the extra step to engage with us directly.
We think you need these skills to ace Data Scientist I in Suffolk
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills and experiences that match the Data Scientist I role. We want to see how your background in quantitative or social sciences aligns with the responsibilities outlined in the job description.
Showcase Your Skills: Don’t forget to mention your proficiency with Microsoft Office and any statistical software you’ve used. We love seeing examples of how you've applied these tools in past projects, so be specific!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how you can contribute to the POTFF programs. We appreciate a personal touch, so let your personality come through.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your materials and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Loyal Source
✨Know Your Data Tools
Make sure you're familiar with the statistical software mentioned in the job description, like SPSS, SAS, and R. Brush up on your Excel skills too, as you'll likely be asked to demonstrate your ability to manipulate data during the interview.
✨Prepare for Practical Scenarios
Expect to discuss real-world examples of how you've cleaned and analysed data in the past. Think about specific projects where you identified trends or insights, and be ready to explain your thought process and the impact of your work.
✨Communicate Clearly
Since excellent communication skills are a must, practice explaining complex data concepts in simple terms. You might be asked to present findings or reports, so being able to convey your analysis clearly will set you apart.
✨Show Your Attention to Detail
As a detail-oriented role, be prepared to discuss how you ensure accuracy in your work. Bring examples of how you've double-checked your data or implemented checks to avoid errors, as this will demonstrate your commitment to quality.