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- Tasks: Conduct complex data analyses and lead the creation of insightful dashboards.
- Company: Leading mobility tech provider in Greater London with an inclusive culture.
- Benefits: Hybrid work model, generous benefits, and opportunities for mentorship.
- Why this job: Make a real impact by enhancing data analysis and machine learning practices.
- Qualifications: Strong skills in Python, statistics, and excellent communication.
- Other info: Join a dynamic team with a focus on professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading mobility technology provider in Greater London seeks a Senior Insights Analyst to enhance data analysis and machine learning practices. You will conduct complex analyses, lead dashboard creation, and mentor peers in Python and statistics. This role requires excellent communication skills to bridge technical insights into strategic business needs. You will enjoy a hybrid work model, generous benefits, and an inclusive workplace culture.
Senior Insights Analyst - ML & Data Dashboards Lead employer: Gett
Contact Detail:
Gett Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Insights Analyst - ML & Data Dashboards Lead
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects and machine learning models. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and statistics knowledge. Be ready to discuss how you've used these skills in past roles and how they can benefit the company you're applying to.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes tracking your application super easy for us!
We think you need these skills to ace Senior Insights Analyst - ML & Data Dashboards Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analysis and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing your Python expertise and any relevant projects you've led.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data insights and how you can contribute to our team. Remember, we love a good story, so share your journey in the field!
Showcase Communication Skills: Since this role involves bridging technical insights into business needs, make sure to highlight your communication skills. We want to know how you’ve successfully conveyed complex data findings to non-technical stakeholders in the past.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Gett
✨Know Your Data Inside Out
As a Senior Insights Analyst, you'll be expected to conduct complex analyses. Brush up on your data analysis skills and be ready to discuss specific projects where you've used Python and machine learning techniques. Prepare examples that showcase your ability to turn raw data into actionable insights.
✨Showcase Your Dashboard Skills
Since dashboard creation is a key part of the role, come prepared with examples of dashboards you've built in the past. Be ready to explain your design choices and how they helped stakeholders make informed decisions. If possible, bring a portfolio or screenshots to illustrate your work.
✨Communicate Like a Pro
Excellent communication skills are crucial for bridging technical insights into strategic business needs. Practice explaining complex concepts in simple terms. Think about how you can convey your analytical findings to non-technical stakeholders effectively during the interview.
✨Embrace the Hybrid Work Model
With a hybrid work model in place, be prepared to discuss how you manage your time and productivity in both remote and in-office settings. Share any experiences you have with collaboration tools and how you ensure effective communication with your team, regardless of location.
