Data Analyst - Revenue and Pricing
Paris
Euronext
Euronext is the pan-European stock exchange and market infrastructure, connecting European economies to global capital markets to accelerate innovation and sustainable growth.Key Responsibilities:
Data Analysis and Pricing Models:
- Develop, maintain, and improve pricing models based on large datasets and financial metrics.
- Conduct detailed analysis of market trends, customer data, and financial metrics to inform pricing decisions.
- Provide insights into the impact of pricing strategies on revenue, customer retention, and profitability - .
Financial Reporting & Forecasting:
- Generate financial reports related to pricing strategies, including revenue forecasting and cost analysis, supporting budget processes.
- Communicate findings to senior management and provide actionable recommendations.
Collaboration with Internal Teams:
- Work closely with product, finance, and sales teams to align pricing strategies with overall business objectives.
- Ensure pricing structures comply with regulatory standards and risk management protocols.
Automation & Process Improvement:
- Support the implementation of pricing automation tools and technologies to enhance efficiency and accuracy.
- Identify areas for process improvement and help develop innovative pricing models and strategies.
Required Skills & Qualifications:
- Educational Background:
Bachelor's degree in Finance, Economics, Data Science, Mathematics, or a related field preferrable. A Master’s degree or professional certification (e.g., CFA, FRM) is a plus. - Technical Skills:
- Proficiency in Excel is essential and in data analytics tools and programming languages such as Python, SQL, and Power BI is a distinct advantage.
- Experience with pricing strategies.
- Previous experience with financial metrics.
- Experience:
- Preferred minimum of 2 years of experience in a data analytics, financial analysis, or pricing role, preferably within the financial services sector.
- Analytical & Communication Skills:
- Strong analytical thinking with attention to detail.
- Ability to interpret complex datasets and present findings clearly to non-technical stakeholders.
- Fluency in English is essential, with French or Portuguese an advantage; an with good written and verbal communication skills
Euronext Values
Unity
• We respect and value the people we work with
• We are unified through a common purpose
• We embrace diversity and strive for inclusion
Integrity
• We value transparency, communicate honestly and share information openly
• We act with integrity in everything we do
• We don’t hide our mistakes, and we learn from them
Agility
• We act with a sense of urgency and decisiveness
• We are adaptable, responsive and embrace change
• We take smart risks
Energy
• We are positively driven to make a difference and challenge the status quo
• We focus on and encourage personal leadership
• We motivate each other with our ambition
Accountability
• We deliver maximum value to our customers and stakeholders
• We take ownership and are accountable for the outcome
• We reward and celebrate performance
We are proud to be an equal opportunity employer. We do not discriminate against individuals on the basis of race, gender, age, citizenship, religion, sexual orientation, gender identity or expression, disability, or any other legally protected factor. We value the unique talents of all our people, who come from diverse backgrounds with different personal experiences and points of view and we are committed to providing an environment of mutual respect.
Additional Information
This job description is only describing the main activities within a certain role and is not exhaustive. It does not prevent to add more tasks, projects.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data analysis Data Analytics Economics Excel Finance Mathematics Power BI Python SQL
Perks/benefits: Transparency
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