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Описание вакансии
Текст:
TL;DR
Lead Analyst, Revenue (SaaS): Owning complex, cross-functional revenue analysis for a workflow automation platform with an accent on go-to-market strategy, forecasting, data modelling, and stakeholder partnership. Focus on translating ambiguous strategic questions into defensible analysis, prioritising analytical workstreams, and using AI and automation to build repeatable revenue processes.
Location: Dublin, Ireland (Hybrid); candidates must be based in Ireland and ideally able to visit the Dublin office about once a week
Company
Tines provides an intelligent workflow platform that combines AI, automation, and integrations to help organisations run important business workflows securely.
What you will do
- Own complex, cross-functional revenue questions end to end and support strategies for growing and expanding revenue.
- Partner with RevOps, sales, and finance leadership on strategic analytical questions.
- Programme manage and prioritise analytical workstreams across the analyst team without direct management responsibility.
- Work with data engineering on requirements, data models, and data quality.
- Build repeatable processes and use AI and automation to reduce mechanical work.
- Translate open-ended revenue questions into analysis and present findings to senior stakeholders.
Requirements
- 8+ years of experience in analytics with strong hands-on skills in SQL, data modelling, and analysis.
- Experience owning ambiguous strategic problems through stakeholder discussions and independent analysis.
- Commercial and strategic understanding of revenue growth, pipeline, forecasting, and go-to-market strategy.
- Strong prioritisation and programme management skills across multiple workstreams without a managerial mandate.
- Ability to communicate effectively with technical and non-technical audiences at different levels of seniority.
- Must be based in Ireland. Comfortable with ambiguity, cross-functional work, AI-assisted analysis, and documenting reusable analytical structures.
Nice to have
- Experience analysing consumption-based revenue models.
- Experience supporting a product launch commercially.
- Familiarity with Snowflake, dbt, Omni, Salesforce, or AWS.
- Experience working alongside data engineering teams.
- Formal programme management experience.
Culture & Benefits
- Values include Simplicity, Speed, and Soundness.
- Culture supports curiosity, growth, integrity, and individual development.
- Hybrid work with regular access to the Dublin office expected.
- Work alongside cross-functional teams across go-to-market, finance, product, data, and engineering.
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