At a Glance
- Tasks: Analyse data and improve quality while collaborating with local authorities.
- Company: Join a leading public sector client focused on data excellence.
- Benefits: Competitive daily rate, remote work, and a chance to make an impact.
- Other info: Opportunity for career growth in a dynamic public sector role.
- Why this job: Shape the future of data quality in a highly regulated environment.
- Qualifications: Experience in data analysis, reporting tools, and stakeholder management.
A client of mine within Public Sector is currently looking for a Data Analyst with a strong background in Data Analysis and Reporting tools, within regulatory or highly regulated environments. The successful candidate will focus on Data Validation, Data Quality Improvement as well as Stakeholder Management, working closely with Local Authorities to ensure high-quality Data submissions.
Key Requirements:
- Proven experience working as a Data Analyst, ideally within regulatory environments.
- Strong proficiency in Data Analysis and Reporting Tools, including Excel, SQL, Python, R, Power BI, Tableau.
- Excellent attention to detail with the ability to analyse and interpret large, complex Datasets.
- Strong communication and stakeholder management skills, both technical and non-technical audiences.
- Hands-on experience with ETL processes (Extract, Transform, Load), including: Data extraction from various sources, Data cleansing and wrangling, Data transformation and manipulation, Data loading and validation.
- Ability to identify Data quality issues and recommend process improvements.
- Experience creating dashboards, reports, and visualisations to support business decision-making.
Eligibility for BPSS.
Nice to have:
- Available immediately.
- Experience working within Local Governments or Public Sector.
Data Analyst - Regulatory, Data Quality, PowerBI employer: Hays Specialist Recruitment Limited Careers
Hays Education is an exceptional employer, offering a supportive and collaborative work environment for SEN SLD/PMLD teachers in the Hounslow/Hillingdon area. With access to exclusive vacancies, ongoing professional development, and a dedicated consultant to guide your career, you will find ample opportunities for growth while making a meaningful impact on the lives of pupils with special educational needs. Join us to be part of a community that values inclusivity and fosters both personal and professional development.
Contact Details:
Hays Specialist Recruitment Limited Careers Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Regulatory, Data Quality, PowerBI
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We think you need these skills to ace Data Analyst - Regulatory, Data Quality, PowerBI
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 Hays Specialist Recruitment Limited Careers, 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 Hays Specialist Recruitment Limited Careers. 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 Hays Specialist Recruitment Limited Careers
✨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
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✨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.