or apply directly on Tines's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 8 days Tines's roles stay open a median of 43 days
- Reposted
- No
- Salary listed
- No 42% of Tines's roles list one
- Ghost-job risk at Tines
- high 12 stale, 2 reposted of 24 open
- Hiring momentum
- 37 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Tines's own greenhouse board since 2026-08-03. Full hiring picture for Tines.
About this role
The Lead Analyst, Revenue at Tines will be responsible for tackling complex, cross-functional revenue questions that influence the company's growth strategy. This role involves collaborating with go-to-market and finance leadership, managing analytical workstreams, and leveraging data engineering resources. The ideal candidate will engage in hands-on analysis, utilize AI for efficiency, and effectively communicate insights to senior stakeholders.
- benefits
- 1/5
- freshness
- 5/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Tines as an employer.
What you need
- 8+ years in analytics
- Hands-on analytical skill: SQL, data modelling, and building analysis you'd be happy to defend
- Track record owning ambiguous strategic problems end to end through a cycle of stakeholder conversations and your own analysis
- Commercial and strategic instinct, particularly around revenue growth: pipeline, forecasting, go-to-market strategy
- Strong prioritisation and programme management across several workstreams, without a managerial mandate
- Able to tailor communication (written and oral) appropriately to different audiences, technical/non-technical, of different seniority
Nice to have
- Experience analysing consumption-based revenue models
- Experience supporting a product launch commercially
- Familiarity with our stack: Snowflake, dbt, Omni, Salesforce, AWS
- Experience working alongside a data engineering function
- Formal programme management experience
Worth weighing
- No salary listed
- Hybrid work model with expectation to be in the Dublin office around once a week
- Role involves significant ambiguity and requires a proactive approach
Summarised from Tines's posting. Read the full original.
Listed by Tines on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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