Type of position:
Years of experience:
About the company
Our client is a French based Fintech facilitating the collection of customer payments by companies and by doing so, modernise their full cash-cycle.
Today, most companies still struggle to collect payments from their customers: hundreds of unpaid invoices, anarchic communications, multiple payment methods. They waste tons of hours on non-value-added tasks, suffer from late payments that hinder their growth, and sometimes simply go bankrupt due to cash flow problems. It's time for a change.
Our client is the modern hub for managing all data exchange, communications and payments to get paid faster and easier. They are a product-led organisation that solves this problem with a tech approach.
They are also trusted by hundreds of awesome users in the EU and US, including Lattice, Front, Triplebyte, Iziwork, Adikteev, Proxyclick, and more. They're also backed by leading investors (YCombinator, 9yards, eFounders) and top business angels from N26, Square, Mercury, Uber and Netsuite.
They a friendly team, spread over 3 continents and growing fast. It's the perfect time to join us if you're looking for an exciting international experience.
About the role
We are looking for an optimistic problem-solver with an urge to build, improve and own key data & analytics processes and generally sharpen up our client's Data Game™ across the board.
You are the right fit if you deeply believe that the ability to quickly deliver meaningful analyses built on top of clean, consistent data is a massive competitive advantage and one of the most powerful forms of leverage in business — from improving operational efficiency to informing strategic initiatives.
As the founding Data Analyst you will have a critically central role and be instrumental in ensuring excellence in all data initiatives. This role is for you if you are a full-stack analytics person, who can interact with other teams and work across the stack from building simple data pipelines to creating new processes with operators or delivering analyses to the leadership team.
You will report to the France HQ in Paris and be initially integrated within the Operations team.
The founding Data Analyst is responsible for originating, driving, implementing, and supporting data initiatives across the Business and Product teams centered around business intelligence and reporting — working hand-in-hand with leadership, operators and external stakeholders (investors, vendors, customers) alike.
-You'll mostly work with the Business teams (Sales, Success, Finance, Marketing & Growth) on initiatives centered around business intelligence and reporting, with occasional ad-hoc analyses with the Product team:
-Design, implement and maintain key BI/product dashboards on top of our data warehouse and in the business tools within our stack. Enable operational and leadership teams to answer important business questions quickly and reliably.
-Develop quantitative analyses to inform business + product decisions, providing teams with the tools to measure their impact and hold themselves accountable. Help frame and transform business unknowns into measurable outcomes.
-Explore company-generated and external data to uncover insights, identify opportunities and/or detect problems, and extract meaning for stakeholders to drive action — example: industry benchmarks for marketing.
-Promote and embody a strong data culture with emphasis on data quality/consistency and meaningful KPIs engineering (as opposed to "vanity metrics").
Our current stack:
-Postgres for prod DBs
-Segment for frontend events (+ a few backend ones)
-Stitch pulling most of the above into our BigQuery warehouse + -from other business tools (Salesforce, Hubspot, Chargebee,...)
-Periscope/Sisense for BI on top of BigQuery
-First-principles thinker with an ability to deconstruct complex problems into prioritised and solvable subsets
-3+ years experience in a Data/Business Analyst role, ideally in a high-growth SaaS company
-Data and dataviz nerd. Data-driven but not data-fetichist: you are able to find the right balance between quanti & quali, and know the meaning of "statistical significance"
-Deep expertise in SQL: aggregation/window/time functions, complex joins/subqueries/CTEs, efficient and reusable views hierarchies/infrastructure
-Excellent command of at least 1 BI tool among: Periscope, Looker, Mode, Tableau, or Metabase
-Excellent command of Excel / Gsheet, including more advanced functionalities (index/match, array formulas, sumproducts)
-Empathy and humility: you strive to solve business problems for people with data, knowing it is a means to an end
-You obsess over optimising for speed and efficiency, with scalability in mind
-You can work autonomously and safely on production systems
-You communicate clearly & concisely with internal and external stakeholders of varying levels of data literacy and expertise
-Strong appetite to work in an international, distributed & remote-first environment
-Speaks & write English fluently, although native level isn't required
**Nice-to-have (not mandatory)**
-Experience with Python
-Experience with no-code/low-code tools like Zapier and Integromat
-Familiar with dbt, Airflow
-Familiar with Gscript/VBA
-Keen interest in B2B finance and payments