
501 - 1000 employees
Founded 2020
âïž SaaS
đł Fintech
đ€ B2B
SaaS âą Fintech âą B2B
Pennylane is a French SaaS platform that centralizes financial management, accounting, invoicing, expense management, treasury and business banking features for small and medium-sized businesses, independents and accounting firms. It provides an integrated dashboard, automated workflows, bank account and corporate cards, invoice and payment tools, and native integrations with accounting and payments partners to streamline bookkeeping and cashflow operations.
đ„ 0 minutes ago
đŁïžđ©đȘ German Required
đŁïžđ«đ· French Required
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501 - 1000 employees
Founded 2020
âïž SaaS
đł Fintech
đ€ B2B
SaaS âą Fintech âą B2B
Pennylane is a French SaaS platform that centralizes financial management, accounting, invoicing, expense management, treasury and business banking features for small and medium-sized businesses, independents and accounting firms. It provides an integrated dashboard, automated workflows, bank account and corporate cards, invoice and payment tools, and native integrations with accounting and payments partners to streamline bookkeeping and cashflow operations.
âą Proactively use data to identify opportunities to grow our product and business, collaborating across both product squads and business teams (CS, AMs, Ops). âą Serve as a strategic sparring partner for Product and Business leaders in Germany, anticipating key questions and applying your analytical and statistical skills to answer them. âą Guide decision-making through rigorous analyses, navigate ambiguity, and collaborate across domains when needed. âą Support our self-service analytics approach by understanding partners' needs and promoting a data-driven culture. Contribute directly to data models in the data warehouse (using dbt). âą Help shape the Data Engineering roadmap to deliver the best experience for colleagues on the data platform.
âą 5â6 years' experience as a Data Analyst, ideally in scale-up environments. âą Advanced proficiency with SQL, dbt, and data visualization tools. âą Comfortable collaborating with Product and Engineering Managers, as well as business partners outside the data team. âą Strong business acumen and recognized as a trusted partner by business stakeholders. âą Excellent communication skills and the ability to clearly articulate insights and recommendations. âą A hands-on, delivery-oriented attitude and comfort with an MVP approach. âą Fluent in English; German is a plus.
âą Opportunities to recruit and mentor new team members. âą Increased accountability and leadership in project ownership. âą Responsibility to design and implement new processes, tools, and best practices to improve team efficiency.
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