At a Glance
- Tasks: Build and improve revenue data models for executive reporting and actionable insights.
- Company: Join Lansweeper, a leader in IT asset management with a focus on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with potential for career advancement.
- Why this job: Make an impact by driving strategic decisions through data-driven insights.
- Qualifications: Experience with financial metrics, strong SQL skills, and analytical mindset required.
The predicted salary is between 50000 - 70000 £ per year.
About Lansweeper Lansweeper is a leading IT asset management company that helps organizations gain complete visibility into their IT landscape. Our technology discovers, inventories, and manages every IT asset across on-premises, cloud, and IoT environments. As we grow through new products and market expansion, revenue analytics is becoming critical to steer the business forward.
What Success Looks Like
C-level decisions to optimize growth are based on revenue metrics and insights, as they are highly trusted facts on the evolution of the business. Revenue metrics are structured so they are relevant for board-level insights. Key trends in revenue metrics are explained by linking back to sales and finance processes, ensuring the right strategic decisions for growing the company are taken. Forecasting for key revenue metrics is in place and used to steer go-to-market actions.
The Real Challenge
The sales organization is moving quickly and needs revenue facts to understand the success of its campaigns and to plan new sales plays. The market is changing and so is our product — we need to allocate sales and marketing efforts where it matters most for growth. Revenue metrics are sourced from multiple systems, have historic complexity due to acquisitions and system migrations, and data quality varies over time.
What You Will Do
- Build, maintain, and improve the revenue data models that power executive-level reporting and board-ready metrics.
- Reconcile revenue data across systems of record (CRM, billing, ERP) and ensure a single source of truth for financial KPIs.
- Design and deliver dashboards and reports that translate complex revenue data into clear, actionable insights for sales, finance, and leadership.
- Partner with sales operations and finance to understand changing business processes and reflect them accurately in revenue analytics.
- Develop and maintain forecasting models for key revenue metrics to support go-to-market planning.
- Investigate and explain trends, anomalies, and shifts in revenue data, linking them back to underlying business drivers.
- Proactively improve data quality and integrity across revenue-related data pipelines.
Required
- Experience with financial metrics reporting — you know how revenue, bookings, churn, and related KPIs are defined and measured.
- Understanding of subscription sales processes — you are familiar with concepts like ARR, MRR, expansion, contraction, and renewal cycles.
- Strong SQL skills — you can write, optimize, and debug complex queries against large datasets.
- Experience in reconciling systems of record — you have dealt with data mismatches between CRM, billing, and finance systems and know how to resolve them.
- Analytical mindset with the ability to translate data into business narratives that support decision‑making.
Nice to Have
- Experience with SaaS KPI reporting (e.g., net revenue retention, LTV, CAC payback).
- Hands‑on experience with Snowflake, dbt, and/or Power BI.
- Familiarity with data modeling best practices (dimensional modeling, slowly changing dimensions).
Revenue Analytics Engineer employer: Lansweeper NV
Lansweeper is an exceptional employer that fosters a dynamic work culture focused on innovation and collaboration, particularly in the vibrant tech hub of [Location]. Employees benefit from comprehensive growth opportunities, including hands-on experience with cutting-edge technologies and the chance to influence strategic decisions at the executive level. With a commitment to employee well-being and a supportive environment, Lansweeper stands out as a place where your contributions directly impact the company's success and your professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Revenue Analytics Engineer
✨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 Lansweeper NV!
✨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 Engineer at Lansweeper NV.
✨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 Lansweeper NV.
✨Apply Directly through Our Website
When you find a suitable opening like Revenue Analytics Engineer at Lansweeper NV, 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 Engineer
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 Lansweeper NV, 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 Lansweeper NV. 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 Lansweeper NV
✨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 Lansweeper NV!
✨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.
