At a Glance
- Tasks: Analyse data to drive service improvement and create impactful reports.
- Company: Join a leading public safety recruitment specialist with a focus on innovation.
- Benefits: Enjoy hybrid working, 25 days leave, pension contributions, and ongoing training.
- Other info: Open to female applicants only; dynamic role with great career growth potential.
- Why this job: Make a real difference by using data to enhance vital support services.
- Qualifications: Experience with data analysis, strong Excel skills, and excellent communication abilities.
The predicted salary is between 31500 - 38500 £ per year.
RSR is a public safety & enterprise security recruitment specialist.
We assist public safety employers find the right talent.
We assist all employers when they want to source public safety and enterprise security skills and experience.
Performance and Data Officer
Location
Sandwell (Hybrid working available after probation)
Salary
£28,505.46
Hours
Full Time | Monday-Friday, 9:00am-5:00pm
Are you passionate about using data to make a real difference? We're looking for an organised and analytical
Performance and Data Officer to join our Corporate Services team, helping to drive service improvement through meaningful insight and reporting.
This is an exciting opportunity for someone who enjoys working with data, creating reports and dashboards, and supporting teams to make informed decisions.
You'll play a key role in analysing performance, identifying trends, and presenting information that demonstrates the impact of vital support services.
- What you'll be doing
- Collecting, analysing and interpreting performance data across multiple services.
- Producing reports, dashboards and performance information for managers, commissioners and funders.
- Building and maintaining reporting tools using Excel and Power BI.
- Supporting the development and improvement of data collection systems and processes.
- Creating meaningful reports that help improve services and demonstrate outcomes.
- Working closely with colleagues across the organisation to ensure data accuracy and quality.
- Assisting with funding bids, annual reports and service development through data analysis and research.
What we're looking for
- Experience analysing and interpreting large datasets.
- Strong Excel skills, including formulas, pivot tables and data reporting.
- Experience using databases and reporting systems.
- Excellent attention to detail with a high level of accuracy.
- Strong written and verbal communication skills, with the ability to present data clearly to different audiences.
- Experience with Power BI or similar reporting tools is desirable.
- Ability to manage competing priorities and meet deadlines.
- What's on offer
- Hybrid working following successful completion of probation.
- 25 days annual leave plus bank holidays (increasing with service).
- Employer pension contribution.
- Employee Assistance Programme.
- Clinical supervision and wellbeing support.
- Ongoing training and professional development.
- Mileage allowance.
- TOIL for approved overtime.
- Annual wellbeing day and annual leave purchase scheme.
- Important Information
This post is open to female applicants only.
This is an Occupational Requirement under Schedule 9, Part 1 of the Equality Act 2010.
A full UK driving licence is essential, and access to your own vehicle is highly desirable.
- Enhanced DBS check required.
- Applicants must have the right to work in the UK.
The Red Snapper Recruitment Group is an equal opportunities employer.
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Performance And Data Officer employer: Red Snapper Recruitment
Red Snapper Recruitment is an excellent employer, offering a supportive work culture that prioritises employee well-being and development. Located in Fareham, this role as a Frontline Customer Experience Specialist provides opportunities for growth within a dynamic team, alongside competitive pay and the chance to make a meaningful impact on customer satisfaction.
StudySmarter Expert Advice🤫
We think this is how you could land Performance And Data Officer
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We think you need these skills to ace Performance And Data 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!
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Craft a Tailored Cover Letter:For a full-time role at Red Snapper Recruitment, 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 Red Snapper Recruitment. 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 Red Snapper Recruitment
✨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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✨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 Red Snapper Recruitment!
✨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.
