At a Glance
- Tasks: Drive user engagement with data products and enhance business outcomes through insights.
- Company: Join a leading global insurer focused on innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with exposure to cutting-edge tools like SQL and Power BI.
- Why this job: Make a real impact by championing data literacy and improving user experiences.
- Qualifications: Experience in Data Analytics and strong communication skills are essential.
The predicted salary is between 45000 - 55000 £ per year.
We're partnering with a Leading Global Insurer looking for a
Data Product Adoption Analyst/Manager to bridge the gap between users and data product teams, ensuring data solutions are adopted, understood, and delivering real business impact.
Responsibilities
- Drive adoption and engagement of enterprise data products.
- Gather and analyse user feedback to identify improvement opportunities.
- Partner with Product Managers, Analysts, Engineers, and business stakeholders.
- Deliver training, user guidance, workshops, and enablement sessions.
- Use data and insights to improve user experience and business outcomes.
- Champion data literacy across the organisation.
Experience required
- Strong experience in Data Analytics, BI, Product Analysis, or Data Products.
- Strong stakeholder engagement and communication skills.
- Experience translating business needs into analytical or product improvements.
- Ability to create training materials, user guides, and adoption strategies.
- Experience within Commercial Insurance, Insurance Broking, Claims, Placement, or Specialty Insurance markets.
- Exposure to SQL, Power BI, Python, or Databricks.
- Product Management, Product Operations, Change Adoption, or Customer Success experience.
- Knowledge of data governance, data quality, or data product concepts.
Data Product Adoption Analyst/Manager - Adoption & Enablement in London employer: Lorien
As a leading employer in the Cyber Security sector, we offer an engaging work culture that prioritises collaboration and innovation. Our Stevenage location provides a dynamic environment where employees can thrive, with opportunities for professional growth and development, including support for further security clearances. Join us to be part of a team dedicated to countering cyber threats while enjoying competitive pay and a commitment to employee well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Adoption Analyst/Manager - Adoption & Enablement in London
✨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 Lorien!
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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 Product Adoption Analyst/Manager - Adoption & Enablement at Lorien.
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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 Lorien.
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We think you need these skills to ace Data Product Adoption Analyst/Manager - Adoption & Enablement 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 Lorien, 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 Lorien. 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 Lorien
✨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 Lorien!
✨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.
