At a Glance
- Tasks: Transform data into actionable insights to drive customer success and revenue growth.
- Company: Join Tive, a leader in innovative supply chain solutions.
- Benefits: Flexible work options, competitive equity, and a supportive global team.
- Other info: Diversity is celebrated; we value mutual respect and inclusivity.
- Why this job: Make a real impact in a fast-paced, hyper-growth environment.
- Qualifications: 4+ years as a data analyst with strong SQL and visualisation skills.
The predicted salary is between 36000 - 60000 € per year.
At Tive, we imagine a fully-transparent world in which everything and everyone is connected. We innovate beyond what the world thought possible—so what people hold near and dear arrives on time and in full. We believe (and live!) four core values:
- Transparency First: We make everything visible so that everyone can operate better
- Always strive to make things simpler
- We are One Team, we have each other's backs
- Relentless iteration to optimize and improve
Whether shipped by road, rail, ocean, or air, Tive reduces shipment delays, minimizes rejected loads, and decreases theft, damage, and spoilage. Our customers count on Tive to ensure that their shipments are delivered on time and in full—because every shipment matters.
In this role you will be an individual contributor, reporting to the Lead Revenue Operations Analyst and turn data into actionable insights that drive deal conversion, customer retention, product adoption, service delivery, and overall customer health across the revenue lifecycle. You will work cross-functionally with CS leadership, Sales Leadership, Data Science, Product, and Finance to build dashboards to deliver impactful narratives to a senior audience.
Our Ideal Candidate Has:
- 4+ years demonstrating prowess as a data analyst in B2B software, ideally within the SaaS landscape or high-growth technology firms, supporting Revenue Operations, Customer Success (advantageous) or customer-facing functions.
- Proven experience with board and investor-level reporting, including building executive dashboards and supporting quarterly presentations.
- Strong SQL expertise with advanced data visualization skills, leveraging data lakes and reporting platforms like Sigma, Tableau or Power BI to deliver actionable insights; prior exposure to Snowflake is an added advantage.
- Hands-on experience with Salesforce, NetSuite (advantageous) and CS tools like Gainsight, Pendo, etc.
- Deep understanding of SaaS metrics and customer lifecycle analytics (renewals, churn, onboarding, trials, usage).
- Excellent communication and data storytelling skills—able to influence executives and stakeholders through data.
- Highly detail-oriented, with strong project management and cross-functional collaboration skills.
Preferred Characteristics:
- Strong desire to take initiative; you thrive on change and are comfortable with ambiguity.
- Happy to shift from strategic thinking to rolling up your sleeves and supporting implementation.
What You’ll Be Doing:
- Reporting & Dashboard Development: Build, maintain, and enhance recurring and ad hoc dashboards supporting company-wide performance across Sales, Customer Success, Marketing, and Finance. Support standardized reporting across the revenue and customer lifecycle, including pipeline, forecasts, revenue, retention, usage, and operational performance metrics. Assist in consolidating data from core systems such as Data Lakes (eg. Snowflake, etc.), product analytics platforms, financial systems, and internal databases into reliable reporting outputs. Maintain existing dashboards and reports to ensure accuracy, consistency, and alignment with evolving business needs.
- Analytics & Insights: Analyze business performance trends across go-to-market and post-sale functions to identify drivers, risks, and opportunities. Partner with the Executive Leadership Team to deliver analysis that supports operational decision-making and performance optimization. Support the definition, tracking, and monitoring of KPIs and metrics aligned to company goals. Translate data into clear, actionable insights for operational leaders and cross-functional stakeholders.
- Data Governance & Quality: Support data quality, integrity, and consistency across CRM, BI tools, and source systems. Identify data gaps or inconsistencies and collaborate with RevOps and functional partners to improve data capture and reporting reliability. Help maintain clear documentation for metrics definitions, dashboards, and reporting logic to support scale and self-service analytics.
- Operational & Strategic Support: Provide analytical support with the development and maintenance of data models that support reporting and analytical needs. Support automation and efficiency improvements within reporting workflows to reduce manual effort and improve scalability.
- Leadership & Executive Support: Contribute to leadership and executive reporting by preparing data inputs, analysis, and visuals as required. Support the Lead Data Analyst in assembling insights for business reviews, planning sessions, and company-wide updates.
- Stakeholder Collaboration: Act as an analytics partner to internal teams, supporting Sales, Customer Success, and other business functions with timely reporting and insights. Work closely with the Lead Data Analyst to intake requests, prioritize work, and deliver high-quality analytics solutions. Support cross-functional projects by providing data that informs decision-making, operational improvements, and strategic initiatives.
What does Tive offer?
- A chance to join what may very well turn out to be the most important company in your career.
- The autonomy and resources to build what you know how to build.
- Work with a committed global team that have each others back.
- Office-based or hybrid options. Your choice.
- Competitive equity to ensure all of our employees have a sense of ownership in the long-term success of Tive’s growth.
We celebrate diversity, and consider it key to our success as both a team and a company. We are proud to be an equal-opportunity employer, and we are committed to creating an inclusive environment of mutual respect for all employees.
Revenue Operations Data Analyst employer: Tive
At Tive, we foster a dynamic and inclusive work culture that prioritises transparency, collaboration, and continuous improvement. As a Revenue Operations Data Analyst, you will have the opportunity to make a significant impact in a fast-paced environment while enjoying competitive equity and flexible working options. We are committed to your professional growth, providing you with the autonomy and resources to innovate and excel alongside a supportive global team.
StudySmarter Expert Advice🤫
We think this is how you could land Revenue Operations Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your data analysis prowess. This gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by researching Tive’s values and how they align with your work. Be ready to share examples of how you’ve embodied transparency, teamwork, and innovation in your past roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Revenue Operations Data Analyst
Some tips for your application 🫡
Show Your Data Skills:Make sure to highlight your data analysis experience, especially in B2B software or SaaS. We want to see how you've turned data into actionable insights before, so share specific examples that showcase your skills!
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the job description. Mention how your experience aligns with Tive's core values and the role's requirements.
Be Clear and Concise:When writing your application, clarity is key. Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that’s easy to read and gets straight to the point.
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’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Tive
✨Know Your Data Inside Out
As a Revenue Operations Data Analyst, you'll be expected to have a strong grasp of data analysis. Brush up on your SQL skills and be ready to discuss how you've used data visualisation tools like Tableau or Power BI in past roles. Prepare examples of how your insights have driven business decisions.
✨Showcase Your Communication Skills
This role requires excellent communication and data storytelling abilities. Practice explaining complex data concepts in simple terms. Think about how you can present your past work to influence stakeholders and executives, as this will be crucial in your interview.
✨Understand the Business Context
Familiarise yourself with Tive's mission and values, especially their focus on transparency and teamwork. Be prepared to discuss how your analytical work can support these values and contribute to the company's goals. Showing that you understand the bigger picture will set you apart.
✨Prepare for Cross-Functional Collaboration
You'll be working closely with various teams, so think about your experiences collaborating across departments. Be ready to share specific examples of how you've partnered with sales, customer success, or finance teams to deliver impactful analytics solutions. Highlight your project management skills too!