At a Glance
- Tasks: Analyse user needs and improve services through data-driven insights.
- Company: Join a dynamic public sector team focused on service excellence.
- Benefits: Competitive pay, remote work flexibility, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and innovation.
- Why this job: Make a real difference by enhancing public services with your analytical skills.
- Qualifications: Experience with Google Analytics, SQL, and data visualisation tools.
Start ASAP
Finish 30/07/2027
Remote - once a month in any DWP Base
£440 Inside ir35
- Understand user needs and define measures to assess whether services are meeting those needs.
- Build strong relationships with multidisciplinary service teams, using analysis and insight to support continuous service improvement.
- Develop and maintain performance frameworks, key performance indicators (KPIs), dashboards and reporting to effectively measure and communicate service performance.
- Use digital analytics and other data sources to analyse user journeys and identify opportunities to improve service outcomes.
- Provide expert guidance on performance measurement, analytics implementation and data collection across multiple sources.
- Work collaboratively with internal and external stakeholders to support the successful delivery of major digital initiatives, including the move to One Login.
Analytics Tooling:
- Essential: Google Analytics 4, Google BigQuery, SQL and data visualisation (Data Studio, Power BI, or equivalent)
- Desirable: Experience using Google Tag Manager
Performance analyst - Public sector contract employer: Opus Recruitment Solutions
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your contributions as a ServiceNow Mapping Product Lead will directly impact large-scale digital transformation initiatives. With a focus on employee growth, we provide ample opportunities for professional development and the chance to work alongside industry leaders in a hybrid environment that promotes work-life balance. Our commitment to excellence and support for your career aspirations make us an exceptional employer in the tech landscape.
Contact Details:
Opus Recruitment Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Performance analyst - Public sector contract
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We think you need these skills to ace Performance analyst - Public sector contract
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 Opus Recruitment Solutions, 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 Opus Recruitment Solutions. 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 Opus Recruitment Solutions
✨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!
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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 Opus Recruitment Solutions!
✨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.