At a Glance
- Tasks: Lead analytics strategy and guide a team to drive data-driven decisions.
- Company: Join Synapri, a leader in financial services analytics.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with executives and make impactful decisions.
- Why this job: Shape the future of analytics in a dynamic financial environment.
- Qualifications: Experience in data analytics and team leadership required.
The predicted salary is between 60000 - 80000 £ per year.
Synapri seeks a Senior Data Analytics Manager to lead analytics strategy and establish an Analytics Centre of Excellence across a regulated financial services context. You will champion data-driven decision making, translate complex data into insights, and guide an analytics team of 7–8 people, with a focus on self-service and advanced analytics on the Microsoft Fabric platform.
Location: hybrid – 2 days on site per week in Nottingham; you will collaborate with executives to shape outcomes.
Analytics Strategy Leader | Data & Exec Advisory in Nottingham employer: Synapri
As an Agile Delivery Manager with us, you'll be part of a dynamic team dedicated to driving meaningful change within a central government department. Our hybrid work culture promotes flexibility and collaboration, allowing you to engage with cross-functional teams while contributing to impactful transformation programmes. We prioritise employee growth through continuous improvement initiatives and offer a supportive environment where your expertise in agile methodologies will thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Strategy Leader | Data & Exec Advisory in Nottingham
✨Get Involved in Data Science Meetups
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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 Synapri.
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We think you need these skills to ace Analytics Strategy Leader | Data & Exec Advisory in Nottingham
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 Synapri, 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 Synapri. 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 Synapri
✨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 Synapri!
✨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.
