Data Analyst
Milan, Metropolitan City of Milan, Italy
Applications have closed
Moneyfarm
Discover investment solutions for a broad range of wealth goals, backed by our smart technology and the expertise of our dedicated consultants.Who we are:
We’re a pan-European digital wealth manager with 90,000 active investors (growing fast!) and over £2.4 billion on our platform. With 200+ people across 3 offices in Italy and the UK, we’re supported and funded by Poste Italiane, Cabot Square Capital, Allianz and M&G.
We started in 2011 in Milan with a simple vision - to help more people improve their financial well-being by making personal investing straightforward and accessible through technology. Fast forward a few years, and we’re known as one of the most innovative fintechs headquartered in the heart of London.
Mission
To provide investment solutions and advice to protect and grow client wealth through time.
Our Core Values:
We’ve built our business on three Principles:
- Relationships are our first asset: We’re one team, built on trust, honesty and transparency. We value our relationships above all else.
- Trust drives success: We give each other the space to grow. We empower our employees to succeed, so they can make a real impact.
- Our customers dream big, just like us: We see the bigger picture and we make sure our customers see it, too. We’re always focused on the best outcomes for our clients and for each other, no matter what the goal, or how big the dream.
What this means in practice:
At Moneyfarm, diversity is the foundation of our competitive advantage. We value our employees for who they are – their backgrounds, experiences, talents, knowledge and individual differences. This is what makes us better at what we do. To accommodate our different needs and commitments, we offer flexible working to all. Our individual impact and output is what counts most.
Candidates who belong to 'Categoria protetta' (Legge 68/99) are more than welcome!
Who we're looking for
We are looking to reinforce our growing team by hiring a Data Analyst who will be actively involved in shaping the direction of the company. Being part of Moneyfarm’s data team, you will help gather data, analyse information, derive insights and communicate with stakeholders to support business decision-making. You will work alongside marketeers, investment advisors, data scientists and data engineers with the potential to develop advanced analytics skills. If you have an analytical mind, intellectual curiosity, ability to think critically and solving problems is your strength then we want to hear from you!
Main Responsibilities
- Investigate, analyse and model data to produce reports, monitor KPIs and generate insights that inform business decisions.
- Identify challenges and opportunities within the company and ultimately provide solutions that help achieve the business' growth.
- Understand loosely defined business questions, translate them into a data problem and provide data driven answers.
- Coordinate with stakeholders across the Executive, Finance, Marketing and Commercial teams.
- Develop performance reporting, including digital marketing channels and user conversion metrics.
- Communicate insights to non-technical stakeholders using data storytelling and visualisation tools.
- Collaboration with data engineers and data scientists to develop new machine learning approaches, e.g. predictive modelling, customer segmentation, lifetime value.
Requirements
- Insatiable curiosity to derive relevant insights from data
- Degree in data science, maths, computer science, economics.
- Experience as Data Analyst of 3-5 years or more, preferably in start up, scale up or digital company B2C
- Experience in business analysis highly desirable
- Advanced SQL, Tableau (or equivalent) and excel / Google spreadsheet essential
- Interest / familiarity with machine learning and advanced analytics is nice to have
- Digital Marketing analytics and channel attribution experience highly desirable
- Proven analytical background and commercial driven attitude
- Ability to work independently and as a part of a team
- Excellent written and verbal communication with non technical stakeholders, in english
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Economics Excel Finance KPIs Machine Learning SQL Tableau
Perks/benefits: Career development Flex hours Transparency
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