At a Glance
- Tasks: Create impactful Power BI dashboards and insightful reports to support decision-making.
- Company: Join a compassionate not-for-profit organisation making a difference in the community.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Supportive environment with meaningful projects and a focus on community well-being.
- Why this job: Make a real impact while developing your skills in SQL and Power BI.
- Qualifications: Proficient in SQL and experienced with Power BI; detail-oriented and collaborative.
The predicted salary is between 40000 - 45000 £ per year.
This role requires a skilled Data Systems Analyst (Power BI SQL) to support analytics initiatives within a not-for-profit organisation. The successful candidate will use SQL and Power BI to deliver insightful data solutions and support informed decision-making.
We are a not-for-profit organisation committed to making a meaningful impact in the community. As a medium-sized entity, we provide affordable sheltered, extra care, and independent living apartments for people over 55.
Our organisational values are:
- Bold Brave - We create a space for belonging and inspire our residents, colleagues and customers to be the best possible version of themselves, to make bold choices, grow, learn and excel.
- Compassionate - We put the person at the heart of everything we do and celebrate the diversity of our residents, colleagues and customers. We don't just say we care; our actions show we care.
- Honest - We are open and honest; we value and respect each other's opinions and thoughts. We are inclusive in our interactions and encourage others to be the same.
- Positive - We are inclusive in our approach, we are resilient and focused on delivering the best possible outcomes for our residents, colleagues and customers.
The successful Data Systems Analyst will be responsible for but not limited to:
- Develop, maintain and enhance Power BI dashboards, reports and KPI scorecards.
- Produce management information and performance reports for operational teams, Senior Leadership Team and Board.
- Design and maintain data models, measures and calculations using Power BI, Power Query and DAX.
- Identify trends, risks and opportunities through analysis of operational and financial data.
- Support regulatory, compliance and performance reporting requirements.
- Promote self-service reporting capabilities across the organisation.
A successful Business Analyst SQL / Power BI should have:
- Proficiency in SQL for data querying and manipulation.
- Strong experience with Power BI for creating reports and dashboards.
- Knowledge of best practices in data visualisation and analysis.
- Ability to collaborate effectively with cross-functional teams.
- A keen eye for detail and a commitment to data accuracy.
- Familiarity with not-for-profit sector challenges is advantageous.
Competitive salary ranging from £40,000 to £45,000. Opportunities to work on meaningful projects within the not-for-profit industry. Supportive and collaborative work environment in Wirral. Chance to develop skills in SQL and Power BI within a professional setting. Flexible working arrangements and benefits to be confirmed.
This is an excellent opportunity for a skilled Data Systems Analyst (Power BI SQL) to make a tangible impact in a not-for-profit organisation. Apply now for more information and a detailed job description.
Data & Systems Analyst (Power BI & SQL) employer: Michael Page Technology
As a medium-sized not-for-profit organisation based in Wirral, we pride ourselves on fostering a supportive and collaborative work environment where our employees can thrive. We offer competitive salaries and the opportunity to work on meaningful projects that directly impact the community, alongside flexible working arrangements that promote a healthy work-life balance. Our commitment to personal growth and development ensures that every team member has the chance to excel and make a difference in the lives of those we serve.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Systems Analyst (Power BI & SQL)
✨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 Michael Page Technology!
✨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 & Systems Analyst (Power BI & SQL) at Michael Page Technology.
✨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 Michael Page Technology.
✨Apply Directly through Our Website
When you find a suitable opening like Data & Systems Analyst (Power BI & SQL) at Michael Page Technology, 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 & Systems Analyst (Power BI & SQL)
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 Michael Page Technology, 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 Michael Page Technology. 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 Michael Page Technology
✨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 Michael Page Technology!
✨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.
