At a Glance
- Tasks: Manage SQL Server, develop reports, and handle data requests to support children's services.
- Company: Polaris Community, a leading provider of children's services in the UK.
- Benefits: Up to £28,000 salary, 30-35 days leave, pension, life assurance, and employee discounts.
- Other info: Join a supportive team dedicated to helping vulnerable children across the UK.
- Why this job: Make a real difference in children's lives while growing your data skills.
- Qualifications: Solid T-SQL skills and experience with SSRS, SSIS, and Excel.
Salary: £28,000 - 28,000 per year
Requirements:
- Solid T-SQL skills, including reading, writing and troubleshooting queries
- Experience with SQL Server Reporting Services (SSRS) and report development
- Experience with SQL Server Integration Services (SSIS) and SQL Server Agent
- Comfortable with MS Office, particularly Excel and formula writing
- Any exposure to PowerShell, CMD, VBA or similar scripting is a bonus
- Experience with Power Automate would be advantageous
- Familiarity with SharePoint would be advantageous
- A SQL Server certification is helpful but not essential
- Ability to work independently and take ownership of problems
- Confidence working with non-technical stakeholders to understand their needs
- A genuine appetite for self-directed learning
Responsibilities:
- Manage our central SQL Server environment with SSRS reporting, pulling data from multiple third-party platforms across every service area in the business
- Build and maintain ETL pipelines using SSIS, Power Automate, PowerShell and batch scripts
- Develop and maintain a large library of stored procedures
- Deliver self-service reporting to stakeholders across the organisation
- Handle a constant stream of ad-hoc data requests, analysis and report development across fostering, residential, education, adoption and wider children's services
- Work in a small, central Information & Performance team to keep data flowing
Technologies:
- ETL
- Excel
- PowerShell
- SQL
- SharePoint
- SSIS
- VBA
This is a permanent, full-time Data Analyst role based in Bromsgrove, working 35 hours per week with a salary of up to £28,000 per annum. We offer 30 days annual leave rising to 35 days with length of service, bank holidays, a company pension, life assurance, an employee discount scheme and free on-site parking. Our work is meaningful, complex and varied, and our small central team offers the chance to grow while supporting vulnerable children across the UK. We are an equal opportunities employer, hold Disability Confident Employer status, and all successful applicants will be subject to a DBS check paid for by us.
Data Analyst employer: Polaris
Polaris Community is an exceptional employer, offering a meaningful and rewarding Data Analyst role in Bromsgrove. With a strong commitment to employee growth, we provide 30 days of annual leave, a supportive work culture, and opportunities to make a real impact on the lives of vulnerable children across the UK. Our small, dedicated team fosters collaboration and innovation, ensuring that every member can thrive while contributing to our vital mission.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨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 Polaris!
✨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 Polaris.
✨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 Polaris.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Polaris, 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
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 Polaris, 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 Polaris. 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 Polaris
✨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 Polaris!
✨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.
