At a Glance
- Tasks: Lead data analysis and reporting to drive improvements and support strategic planning.
- Company: Chance to Shine, a dynamic organisation focused on impact and evaluation.
- Benefits: Flexible working options, collaborative environment, and opportunities for professional growth.
- Other info: Join a passionate team and contribute to meaningful projects across the UK.
- Why this job: Make a real difference by shaping how data drives positive change in sports.
- Qualifications: Experience with data analysis tools and strong communication skills required.
This is an exciting opportunity for a Data and Insights Officer to join our Impact and Evaluation team and shape how data is used at Chance to Shine. The role holder will strengthen our data practices and lead our monitoring analysis to ensure data is used effectively to support continuous improvement, planning and shape future priorities. They will play a key role in helping Chance to Shine use data in line with wider best practice by working collaboratively with internal and external partners, and being proactive in identifying and driving improvements.
This is a London Office based contract. A minimum of two days a week in the office would be required with the option to work from home on the other days. The role holder will need to be flexible as and when they are required to attend meetings, events, mostly in London but elsewhere around the country. You are advised to submit your application as soon as possible as we reserve the right to close the vacancy early if a high volume of applications are received.
Key Responsibilities- Lead management, analysis and reporting of monitoring data – ensuring the organisation and partners have timely, robust and relevant analysis. Engaging data visualisation to meet needs of different audiences.
- Plan and deliver data quality assurance processes; regular KPI analysis for England and Wales Cricket Board (ECB), Sport England and internal reporting; and analysis to support fundraising applications and reports.
- Identify and carry out improvements, including effective use of DfE and other data to make sure our systems reflect the most relevant and up-to-date information.
- Work collaboratively with the Director of Strategy and Impact, Impact and Evaluation Manager and Operations department to identify and deliver more detailed analysis to support learning, planning and inform strategic priorities.
- Work closely with the Digital Systems Manager to ensure we are using digital tools effectively internally for monitoring analysis and reporting.
- Work closely with Operations department to ensure we collect and use the right data effectively and together provide support to delivery partners to understand and use analysis.
- Stay abreast of relevant wider developments to inform and improve our monitoring approach – particularly in terms of DfE, DCMS, ECB and Sport England data.
- Support the Impact & Evaluation team with other ad hoc tasks as required.
- Experience with data analysis and visualisation tools - experienced in using Microsoft Excel (e.g., advanced formulas, pivot tables) and Power BI to clean and manipulate data and build engaging, interactive dashboards and reports.
- Data collection and analysis – demonstrable experience working confidently with large, complex datasets from multiple internal and external sources, ensure its accuracy and analyse it meaningfully.
- Experience leveraging AI to support data collection and data analysis.
- Collaborative working skills – the ability to work confidently with a range of colleagues to understand, agree and deliver analytical priorities.
- Communication skills – able to communicate analytical findings clearly to different audiences.
- Organisational skills - able to manage multiple projects and deadlines.
- Experience of using Salesforce.
Data and Insights Officer employer: Chance to Shine
Chance to Shine is an exceptional employer that fosters a collaborative and innovative work culture, particularly within our London office. As a Data and Insights Officer, you will have the opportunity to make a meaningful impact by enhancing our data practices while enjoying flexible working arrangements and professional growth opportunities. Join us in shaping the future of data use in sports and education, all while being part of a passionate team dedicated to continuous improvement and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Data and Insights Officer
✨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 Chance to Shine!
✨Show Off Your Projects
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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 Chance to Shine.
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When you find a suitable opening like Data and Insights Officer at Chance to Shine, 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 and Insights Officer
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 Chance to Shine, 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 Chance to Shine. 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 Chance to Shine
✨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 Chance to Shine!
✨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.
