Sales Data Analyst
il y a 1 semaine
**Xpollens, the French fintech specializing in white-label digital payment**
Join a payments fintech of **Groupe BPCE**
Supported by a talented team more than 150-strong, mainly based at our Fintech Campus near Station F in Paris, we are growing fast, and helping to drive growth for many other businesses. Do you like innovative markets and high-growth challenges? Want to work in the field of digital technology and fintech? Have a perfect understanding of product and customer culture? And want to be part of a unique and amazing entrepreneurial venture?
Xpollens relies on the power of our proprietary Banking as a service technology, coupled with the infrastructure of Groupe BPCE, 2nd-largest banking group in France to support our customers in creating customized, value-accelerating **embedded payment solutions.**
**Our core competence: embedded payment**
Our mission is simple: to enable you to increase the value of your business by integrating powerful digital payments to your solutions.
Our value proposition is based both on the strength of our technology platform, natively designed to embed complex payments into any business, and on our advanced expertise in design and support, key to the success of any project.
Xpollens serves various industries, such as digital banking, or large retailers
Each shares a common goal to generate value through digital technologies. Leading corporations trust Xpollens: FDJ, Oney, Air France, igraal, 1001 Listes, Leroy Merlin, Ubaldi, ESF, Izly, Bimpli /Swile
**Position: Sales Data Analyst**
We are seeking a highly motivated Sales Data Analyst to join our Sales Teams and play a crucial role in driving the company's growth. As a Sales Data Analyst, you will be responsible for providing insights and day-to-day support to the Sales and Finance teams, as well as the Executive committee, by leveraging internal data.
**Key Responsibilities**:
- Develop, manage, and maintain reporting suites/dashboards to track and monitor revenue, net, and gross billing for each customer.
- Create and maintain Excel data models to answer critical business and financial questions such as reviewing the global company budget and forecasting the P&L per customer.
- Ensure different stakeholders have access to globally consistent, robust, and timely sales data and reporting in an agreed format.
- Provide ad-hoc data support, analysis, and reporting consultancy.
- Create and maintain dashboards that provide visibility on key sales and onboarding metrics and trends to the executive committee and other departments.
- Use data visualization best practices to deliver compelling presentations.
- Monitor and maintain the integrity and quality of reported data.
- Support data cleanups associated with mergers and acquisitions of our different platforms to ensure data reconciliation.
**Requirements**:
- At least 2-3 years of experience in a sales, business, or operations-oriented data analyst role in high-growth startup, tech, or SaaS environments.
- Bachelor's degree in Mathematics, Economics, Computer Science, or Engineering.
- Excellent Excel/Google Sheet skills.
- Good SQL skills to manipulate and extract data from our data warehouse.
- Experience working with CRM is highly desirable.
- Experience creating dashboards with BI tools such as Power BI.
- Bright, analytical mindset with the ability to quickly grasp concepts, think creatively about solutions, dissect data in multiple ways, and identify trends.
- Comfortable in a dynamic, fast-paced structure with a strong desire to grow along with the company.
- Ability to structure, monitor, and validate data to ensure data integrity.
By joining our Sales Team as a Sales Data Analyst, you will have the opportunity to make a meaningful impact at a fast-growing company.
**Benefits**
- Politique de télétravail flexible (jusqu’à 10 jours par mois)
- Des locaux modernes et conviviaux dans Paris, au sein du Campus Fintech de BPCE
- Une vie d’entreprise rythmée par des événements business et de fun
- Convention collective bancaire
- 9 semaines de congés par an
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