At a Glance
- Tasks: Lead analytics initiatives to empower sales teams with data-driven insights.
- Company: Join Xero, a Great Place to Work UK accredited company with a collaborative culture.
- Benefits: Enjoy flexible working arrangements, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team that values knowledge sharing and continuous improvement.
- Why this job: Make a real impact by transforming complex data into actionable strategies for success.
- Qualifications: Mastery of SQL, experience in stakeholder-facing roles, and a knack for storytelling with data.
The predicted salary is between 65000 - 78000 £ per year.
As the BI/Analytics Lead for the UK region, you will act as a strategic intelligence hub, empowering our sales teams to make data-driven decisions at the right time. This is a senior individual contributor role where you will join a high-performing function that is being built from the ground up, providing direct strategic influence as a trusted advisor to regional leadership.
The role offers a unique balance for a practitioner who enjoys both deep technical execution and business partnership. You will be responsible for turning complex sales data into clear, actionable guidance that helps our sellers and managers identify operational insights to improve performance and transform the business.
You will join the Sales Analytics & Insights team, a global group within Sales Operations currently expanding across Australia, New Zealand, the UK, and North America. We are a full-stack analytics team that collaborates closely to deliver everything from governed data reporting to predictive modelling and experimentation.
Initially, you will focus on:
- Developing and executing a regional analytics roadmap to support strategic decision-making and sales performance.
- Building out a suite of interactive dashboards and diagnostic reports using Tableau and other modern BI tools.
- Innovating with our advanced tech stack, which includes Snowflake, DBT, and the integration of AI and Data Science.
- Partnering with senior stakeholders across Finance and Product to align competing priorities and drive critical company decisions.
This role offers flexible working arrangements, and we support a hybrid model where you can balance your time between our modern office spaces and working from home. We use boost days to bring our people together for connection and collaboration, ensuring you feel supported regardless of where you are located.
Here are some of the things we are looking for:
- You possess a mastery of SQL for data extraction and manipulation, alongside extensive experience as a technical practitioner in a stakeholder-facing role.
- Your background includes a commercial mindset with a deep understanding of SaaS business models and sales metrics.
- You have a proven ability to translate complex data into compelling stories that influence both technical and non-technical audiences.
- Applying advanced statistical methodologies and analytics techniques to solve complex business problems is something you do with ease.
- You bring an owner mindset to your work, proactively identifying operational debt and advocating for system improvements to senior leadership.
- Sharing knowledge is important to you, and you have a demonstrated aptitude for coaching and mentoring peers to uplift the overall proficiency of the function.
Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
Analytics Lead-UK/Emerging employer: Socket.dev
Multiverse is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Edinburgh. With a commitment to employee growth through comprehensive upskilling opportunities and a robust benefits package, including generous holiday allowances and health support, Multiverse empowers its team to thrive in the rapidly evolving AI landscape. Join us to be part of a mission-driven company that values diversity and inclusion while shaping the future of education and workforce development.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Lead-UK/Emerging
✨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 Socket.dev!
✨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 Analytics Lead-UK/Emerging at Socket.dev.
✨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 Socket.dev.
✨Apply Directly through Our Website
When you find a suitable opening like Analytics Lead-UK/Emerging at Socket.dev, 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 Analytics Lead-UK/Emerging
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 Socket.dev, 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 Socket.dev. 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 Socket.dev
✨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 Socket.dev!
✨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.
