At a Glance
- Tasks: Transform data into insights and mentor junior colleagues in a collaborative team.
- Company: Join Opencast Software, a forward-thinking company focused on data-driven solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on ethical data practices and career advancement.
- Why this job: Make a real impact by improving client services through data analysis and visualisation.
- Qualifications: Experience with data platforms and visualisation tools; analytical mindset required.
The predicted salary is between 35000 - 45000 £ per year.
hackajob is collaborating with Opencast Software to connect them with exceptional professionals for this role.
The Role
You’ll help clients improve their services by selecting the appropriate techniques to turn data into insights, by working within a product delivery team to develop performance measuring frameworks to track goals, user needs, or KPIs. You’ll operate within the client's requirements and the appropriate legal, technical and ethical constraints. Leading by example and promoting Opencast’s approach, you’ll mentor junior colleagues, provide constructive feedback, and demonstrate an understanding of each product delivery stage and how to apply appropriate measurements for that phase of work.
Essential Experience
- Worked with data platforms such as Google Analytics, Splunk, Datadog, or similar.
- Working within a GDS delivery environment within a government department.
- Used data visualisation tools such as Data Studio to create service performance dashboards.
- Designed and implemented a performance framework including KPIs or OKRs for a service or product.
- Analytical skills in identifying the right data sources and then validate and understand how to interpret the results.
- Collected, collated, cleansed, and interpreted data to derive meaningful and actionable insights.
- An ability to use the most appropriate medium to visualise data to tell compelling and relevant actionable stories.
- Created hypotheses that can be tested, and developed insights based on your findings.
- Valid Security Clearance or eligibility (5+ years residency in the UK).
Desirable Experience
- Visualising data using Power BI, Tableau, QlikView, Power Query or similar.
- Scripting and programming languages such as SQL, Python, R etc.
- Security and data privacy.
- Making recommendations for service changes.
Data Analyst in Newcastle upon Tyne employer: Limelight Health
Opencast Software is an exceptional employer that fosters a collaborative and innovative work culture, where data analysts can thrive in their roles. With a strong emphasis on employee growth, you will have the opportunity to mentor junior colleagues while developing your skills in a supportive environment. Located within a dynamic government delivery context, Opencast offers unique advantages such as working on impactful projects that directly improve public services, making your contributions both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Newcastle upon Tyne
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Limelight Health!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst at Limelight Health.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Limelight Health.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Limelight Health, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst in Newcastle upon Tyne
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Limelight Health, 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 Limelight Health. 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 Limelight Health
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨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 Limelight Health!
✨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.
