At a Glance
- Tasks: Lead revenue analytics by building data models and insightful dashboards.
- Company: Join Kpler, a forward-thinking company in the data analytics space.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
- Other info: Be part of a dynamic team driving innovation in revenue intelligence.
- Why this job: Make a real impact by transforming business questions into actionable insights.
- Qualifications: Experience in data analysis, BI tools, and collaboration with cross-functional teams.
The predicted salary is between 56700 - 69300 £ per year.
Kpler is seeking a Senior Data Analyst to own revenue intelligence within the Business Intelligence team.
You will build and maintain data models and reporting covering ARR, retention, pipeline, churn, and renewals.
Work with Salesforce and subscription billing data, model in Big Query, and deliver dashboards via Looker.
Collaborate with Sales, Rev Ops, Finance, and IT to turn business questions into clear metrics. #J-18808-Ljbffr
Revenue Analytics Lead - BI & Data Modeling employer: Kpler
Kpler is an exceptional employer located in the vibrant city of London, offering a dynamic work culture that fosters collaboration and innovation. Employees benefit from comprehensive growth opportunities, including professional development and the chance to work alongside talented teams across various functions. With a focus on data-driven decision-making, Kpler empowers its workforce to make impactful contributions in a fast-paced environment, making it an ideal place for those seeking meaningful and rewarding careers in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Revenue Analytics Lead - BI & Data Modeling
✨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 Kpler!
✨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 Revenue Analytics Lead - BI & Data Modeling at Kpler.
✨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 Kpler.
✨Apply Directly through Our Website
When you find a suitable opening like Revenue Analytics Lead - BI & Data Modeling at Kpler, 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 Revenue Analytics Lead - BI & Data Modeling
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 Kpler, 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 Kpler. 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 Kpler
✨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 Kpler!
✨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.
