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Senior Data Analyst
Shine is the financial copilot for entrepreneurs and small business owners. Founded by serial entrepreneurs Rico Andersen and Martin Hegelund, Shine is a leading European fintech unicorn on a mission to restore the joy of running a business, by ending wasted time on financial admin. Shine offers a connected solution for invoicing, accounting, payroll, busin…
Information about Shine
- Headquarters
- Paris
- Official domain
- shine.fr
- Founded
- 2018 · 8 years
- Published headcount
- 200 employees
- Open jobs
- 24
Job details
The full description published by Shine.
Description de l’offre
Shine is the financial copilot for entrepreneurs and small business owners. Founded by serial entrepreneurs Rico Andersen and Martin Hegelund, Shine is a leading European fintech unicorn on a mission to restore the joy of running a business, by ending wasted time on financial admin. Shine offers a connected solution for invoicing, accounting, payroll, business accounts, payments, and financing, meaning business owners can focus their energy on growing a healthy business, not held back by manual admin.
Part of something bigger Today we're part of Cegid, a European leader in cloud software for finance and accounting. Together we're building Europe's leading financial copilot for small businesses and their accountants. Shine already supports more than 400,000 small businesses. As part of Cegid, we now reach over one million small businesses and 15,000 accountants across Europe. We're a multicultural team working from France, Germany, Denmark and the Netherlands, contributing to a wider European network that spans Spain, Portugal and Belgium.
Your hiring experience matters Just as we respect our customers' time, we respect yours. Your experience with Shine and Cegid should feel simple, transparent and genuinely supportive. If this sounds like somewhere you want to grow, we'd love to hear from you. The CPA Tribe Analytics team at Shine We support the CPA products with data analytics. Our partners are the Product org and the country Business Units. We are three analysts and we are growing. This is a new position.
Your role
as a Senior Data Analyst You report to the Head of Data Analytics. Your main stakeholder is the French Business Unit, a sales-heavy B2B organisation. Two things make this role challenging: Our data lives in different systems: CRM, data warehouse, product data. Bringing it together is part of the job. The French BU is a B2B business inside an overall B2C-minded company. You will work between both worlds.
Your responsibilities
will include: Creating one consistent view across CRM, data warehouse and product data. Building lead scoring, pipeline analytics and other sales analytics solutions that the French BU uses weekly. You take ownership of the analytics for the French BU leadership and bring them decision-ready insight. Supporting the Product org and the country Business Units with analytics for the CPA/Advisor products. 📍 Job located in France, Paris with possibility of two remote working days per week
About you
You have 5+ yrs hands-on analytics experience, including in a B2B setting. SaaS and/or CPA background is a strong preference.
- You have done advanced analytics in a sales organisation, for example lead scoring or pipeline analytics.
- You have brought data from different systems together (CRM, data warehouse, product data) and got teams to agree on it.
- You have driven data-driven decision making, working directly with senior leadership.
- You work with SQL, dbt, Omni and Python.
Salesforce or a similar CRM is familiar to you. You are fluent in French and English (C1). Equal Opportunity Employer We follow the principle of equal treatment to consider all job applicants and do not discriminate based on their gender, sexual orientation, color, racial or ethnic origin, religion, disability, etc. as per applicable law. Our recruitment process 1️⃣ Screening Call: Initial screening call with a TA-partner 2️⃣ Technical Call (60’): Discussion with Julian (Analytics Manager) 3️⃣ Case Study Presentation including a technical SQL challenge (75’): Evaluation of your methodology, problem-structuring, and impact mindset.
4️⃣ Meet the team (30') to get an better idea of the environment.
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