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Data Analyst SaaS

Dotworld
Contract type
Ongoing
Work mode
Remote · Europe
Experience
Mid-level · 3+ years

Job description

A Data Analyst SaaS role analysing acquisition, product usage, payments and revenue data across several subscription SaaS products, turning findings into business recommendations.

At a glance

Employment
Full-time · Employee (employment agreement)
Work mode
Remote · Europe
Languages
French – fluent, English – B2

What you'll do

  • Analyse channel, campaign and acquisition cohort performance: acquisition cost, conversion, revenue and customer value
  • Answer questions such as LTV by acquisition channel and which segments or campaigns drive profitable growth
  • Identify trends, gaps and opportunities and share concrete recommendations with Marketing and leadership
  • Analyse journey steps from first visit to signup, trial, subscription and retention
  • Study funnels, cohorts, user interactions, retention and churn to understand drop-off and value drivers
  • Work with the SaaS Data Scientist on analyses and impact measurement, including experiments
  • Analyse payment performance: acceptance, declines and retries by PSP, product, country or segment
  • Track revenue and risk indicators such as disputes and fraud, spotting variations worth investigating
  • Propose improvements with the Payments team and measure their results
  • Turn team and leadership questions into reliable, understandable analyses
  • Check data quality and consistency with the Data Engineer and help define shared metrics
  • Present results, their limits and prioritised recommendations backed by numbers
  • Create and maintain reusable data and analysis skills across DotWorld so teams can explore data autonomously

What we're looking for

  • 3 to 5 years of experience as a Data Analyst or in a close BI/analytics role
  • Experience in SaaS, subscription or e-commerce with understanding of growth and revenue challenges
  • Experience analysing customer, marketing, product or payment data, comfortable exploring new domains
  • Strong SQL: joins, segmentation, cohorts and window functions
  • AI-native profile using AI assistants (Claude or equivalent) and cloud, integrating AI into analysis workflows
  • Solid foundations in data analysis and statistics: performance comparison, cohort analysis, test interpretation
  • Ability to link data from multiple sources and verify its consistency
  • Understanding of business metrics such as conversion, acquisition cost, retention, ARPA and LTV
  • Curiosity and business sense: seeking to understand the why behind numbers and their implications
  • Rigour and critical thinking: questioning data and recognising the limits of an analysis
  • Ability to formulate and defend clear, number-backed recommendations
  • Autonomy, proactivity and ability to prioritise in a cross-functional environment
  • Pedagogy: able to explain conclusions to technical and non-technical audiences
  • Fluent French, the main working language
  • English at minimum B2 level, assessed during the recruitment process

Nice to have

  • Familiarity with payment/PSP data and user interaction data is appreciated
  • Python proficiency appreciated
  • Experience with product analytics tools appreciated
  • Experience analysing data from payment providers (Stripe, Adyen) or subscription billing tools (Recurly, Chargebee) appreciated

Your team

Data

A growing Data department alongside a Data Engineer and a SaaS Data Scientist, reporting to the Chief Data Officer and working closely with the CEO and Marketing, Product, Payments and Finance teams.

Benefits

  • A demanding, stimulating company culture designed for A-players who like to learn and have impact
  • Direct impact on decisions and growth of several SaaS products
  • A full view of the customer journey from acquisition to payment and retention
  • Direct exchanges with the Data team, business teams and leadership
  • Centralised data on a modern stack with the support of a Data Engineer
  • Remote work from any European country
  • Flexible hours
  • Work remotely from another time zone for one month
  • Two team seminars per year
  • For Lausanne-based profiles: modern offices, sports access, parking and travel cost contribution

How to get hired

  1. 1Discovery interview with Talent Acquisition Manager Noémie - 30 min
  2. 2Case study and discussion with Chief Data Officer Youssef
  3. 3Culture interview with Head of HR & Finance Matteo
  4. 4Reference check

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About Dotworld

Venture Builder and SaaS Studio

A fully distributed team building robust, intuitive SaaS products, deployed internationally through translation and localisation and accelerated by SEO and SEA acquisition.

Mission

To design, launch and scale several SaaS products in parallel, creating concrete tools that make daily life easier for millions of people worldwide.

Key facts

  • 50+
  • Lausanne
  • SaaS / Venture Builder
  • More than 50 million visitors per year
  • No fundraising: 100% self-funded growth
  • Profitable from the first year
  • From 1 to 50+ employees in 4 years
  • 90% of the team works remotely

What they value

  • Performance: obsessed with impact
  • Ownership: act like an owner
  • Integrity: honesty, consistency and professional courage
  • Test, Learn, Scale