At a Glance
- Tasks: Collect and present project data, transforming it into actionable insights using Power BI.
- Company: Join SGN, a leader in operational transformation with a focus on data-driven decisions.
- Benefits: Enjoy a pension, enhanced maternity leave, life assurance, and flexible hybrid work.
- Other info: Opportunity for occasional UK travel and a dynamic work environment.
- Why this job: Make a real impact by supporting senior leaders with critical insights and governance.
- Qualifications: Experience with Power BI and strong analytical skills are essential.
The predicted salary is between 40500 - 49500 £ per year.
SGN is seeking a Data & Insights PMO Analyst to support a large, multi-year transformation within Operations.
You will collect, validate and present project data, transforming it into actionable insights for senior leaders using Power BI and Excel.
You will also help with governance, planning, and reporting across the PMO.
The role involves hybrid work (2-3 days in the office) with occasional UK travel, and benefits including pension, enhanced maternity leave, life assurance, and employee
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Data & Insights PMO Analyst — Power BI & Dashboards in London employer: Cornerstone
At Cornerstone, we pride ourselves on being an excellent employer, offering a supportive work culture where compassion and community impact are at the heart of what we do. Our part-time Compassionate Care Assistants in Peterhead benefit from flexible working hours, comprehensive paid training, and ample opportunities for professional growth, all while making a meaningful difference in the lives of those we serve. Join our dedicated team and experience the rewarding nature of helping individuals lead fulfilling lives in their own homes.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Insights PMO Analyst — Power BI & Dashboards in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data & Insights PMO Analyst — Power BI & Dashboards in London
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 Cornerstone, 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 Cornerstone. 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 Cornerstone
✨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
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 Cornerstone!
✨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.
