Data Analyst SaaS at Jobgether

✨ The Stack take on this Jobgether job

• 🏢 Jobgether has 93 jobs here, 93 with visa sponsorship see all
• 📊 7 Data Analyst jobs in Germany in the last 60 days see them
• 🛂 Visa: EU Blue Card. Minimum salary: €50,700 a year guide
• 💡 No salary shown. Ask Jobgether if it is above the minimum.

Updated 2026-11-02, from our data and official sources.

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About the role

Responsibilities:
- Analyze acquisition channels, marketing campaigns and customer cohorts to assess CAC, conversion and LTV.
- Map and instrument the full customer journey from first touch to trial, subscription and retention; identify friction points and growth opportunities.
- Run funnel and cohort analyses, churn diagnostics and retention experiments; provide prioritized recommendations to Marketing, Product and Finance.
- Monitor payment performance (acceptance rates, declines, retries) across PSPs, products and regions; surface anomalies and recommend fixes.
- Collaborate with Data Science and Data Engineering to validate data quality, implement experiments and maintain consistent metric definitions.
- Build reusable analytics assets: dashboards, automated reports and analyst tools; integrate AI-assisted workflows to accelerate analyses.
- Present findings to senior stakeholders with clear, actionable insights and measurable next steps.

Requirements:
- 3-5 years in data/BI/product analytics, ideally for SaaS/subscription businesses.
- Strong SQL skills and experience with BI tools; familiarity with Python for analysis is a plus.
- Deep understanding of SaaS metrics (CAC, LTV, ARPA, retention, churn) and cohort analysis.
- Experience analysing payments and PSPs (e.g., Stripe, Adyen, Recurly) is desirable.
- Comfortable working with cloud data stacks and collaborating with engineering teams on data quality and instrumentation.
- Proven ability to translate business questions into reliable analyses and communicate recommendations to non-technical stakeholders.
- AI-native mindset: experience using AI assistants or embedded analytics tools to accelerate workflows.

Responsibilities

Analyze acquisition channels and the complete customer journey to evaluate revenue, churn, and retention; collaborate with Data Science and Data Engineering to validate data and drive actionable insights; develop reusable analytics tools and integrate AI-powered workflows, then present prioritized recommendations supported by data.

Requirements

3-5 years as a Data Analyst or BI Analyst with SaaS/subscription experience; strong SQL skills; AI-native mindset with experience using AI assistants and cloud tech; familiarity with Python or BI tools; solid understanding of SaaS metrics (CAC, LTV, ARPA, retention).

Key skills

• SQL — in 521 other listings on The Stack
• Python — in 1159 other listings on The Stack
• Data analysis — in 262 other listings on The Stack
• Cohort analysis — in 14 other listings on The Stack
• Data visualization / BI tools — not in any other listing on The Stack
• Product analytics platforms — in 1 other listing on The Stack
• Cloud-based technologies — not in any other listing on The Stack
• AI-assisted analytics — in 1 other listing on The Stack
• Payment data analysis
• Stripe
• Adyen
• Recurly

On The Stack (as of 2026-11-02)

• Jobgether has 92 other listings on The Stack, 92 of them marked as offering visa sponsorship.
• 165 visa-sponsored jobs in Germany on The Stack, posted in the last 60 days.
• 22 visa-sponsored data analyst jobs in Europe on The Stack, posted in the last 60 days.

Frequently asked questions about Jobgether

Is this Data Analyst SaaS role still open?

It was posted on 2026-11-02 and is listed as active on The Stack. Confirm on Jobgether's application page before applying.

Does Jobgether offer visa sponsorship?

This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Jobgether's site.

Where is this role located?

The listing gives the location as Germany, DE. It is marked remote.

What skills does this role ask for?

The listing names: SQL, Python, Data analysis, Cohort analysis, Data visualization / BI tools, Product analytics platforms, Cloud-based technologies, AI-assisted analytics, Payment data analysis, Stripe, Adyen, Recurly.