Data analyst
Pubblicato il 08-08-2026 - Moneyfarm in Milano
PpWe are a rapidly growing pan-European digital wealth manager, serving over 167,000 active investors with more than £5.5 billion invested on our platform. We began in Milan in 2011 with the purpose to help more people improve their financial well-being by making personal investing simple and accessible through technology. Fast forward to today, and we are recognised as one of the most innovative fintechs, headquartered in the heart of London. /p pWith a team of 220+ people across 4 offices in Italy and the UK, we are proudly backed and funded by major partners including Poste Italiane, Cabot Square Capital, United Ventures, and Allianz. /p h3About the role /h3 pAre you excited about making a real impact on the way Moneyfarm makes decisions? If you are an engineering‑minded data analyst ready to get hands‑on on a Data Platform supercharged with AI this role is for you. /p pYou will join Moneyfarm’s Data Team as a Data Analyst working closely with either product verticals (Trading, Wealth, Pension, Acquisition) or CEO office. You will act as the Data Enabler for your working group, turning raw data into trusted, well‑defined information that product managers, business stakeholders (including C-level) and engineers can act on autonomously. /p pWith surface‑level output produced by AI, your job will be to orchestrate that work and be accountable for it: reviewing code, creating data models, writing tests, and curating the context our AI agents rely on. You will own the analytical narrative and KPIs of your area and safeguard the quality of its data. /p h3Main Responsibilities /h3 ul liBuild a profound understanding of the business context you will be embedded into. /li liDirect AI tools to build queries, dashboards and reports,
and take full accountability for the output. /li liDesign, build and maintain analytics‑ready DBT data models, applying software‑engineering best practices to analytics code. /li liOwn the design, definitions, implementation and exhibition of KPIs and metrics for your working group. /li liAct as an Data Enabler with your stream aligned group, facilitating access to data and analysis adjusting to different levels of support for different stakeholders. /li liFoster trust towards Data Analytics outputs: proactively catch and handle data quality issues. /li liRefine loosely defined questions into structured analysis plans with clear scope, timelines and tradeoffs. Investigate and interpret data to generate insights that inform business decisions. /li liContribute the evolution of our Data Platform, with a focus on its AI capabilities: curate the semantic layer, build skills, explore opportunities for further enhancements. /li /ul h3Requirements /h3 ul li~2 years of relevant work experience in data analytics or related areas. /li liBSc or higher degree in a quantitative discipline (Data Science, Statistics, Economics, Engineering, Computer Science or similar). /li liExperience in fintech / wealth management is a plus.
/li /ul h3Skills /h3 ul liStrong curiosity in exploring data and extracting meaningful insights, supported by attention to detail. /li liSound statistical reasoning and commercial awareness; able to connect analysis to the business decision it supports. /li liStrong SQL is essential. DBT, Airflow and Python are strong plus. /li liStrong experience with BI tools: Tableau, Metabase, Looker and similar. Strong familiarity with spreadsheets. /li liSolid software‑engineering fundamentals: version control (Git), branching, code review, CI/CD, CLI usage. /li liComfortable reading, reviewing and refactoring analytical code. /li liAI fluency: able to direct AI effectively, detect and handle hallucinations. /li liExcellent written and verbal communication with non‑technical stakeholders; able to lead with the "so what", not just the method. /li liAbility to work autonomously across multiple stakeholders, balancing quality and delivery in an iterative environment. /li liFluency in English is essential (most stakeholders are UK-based). /li /ul h3Level Compensation /h3 pWe apply CCNL Credito and based on candidate's experience and skills, we will assign the title of bAnalytics Professional /b. /p pSalary range: €32,000 – €40,000 gross/year + bonus, based on experience/competences demonstrated. /p pThis role is based in our Milan or Cagliari office and our lavoro da remoto policy requires as a minimum 2 days of in‑office presence per week. /p pFor this role, please upload your CV in English. /p h3Benefits /h3 ul liHealth Insurance, Wellness plan /li liFee free investments on Moneyfarm platform /li liCareer development opportunities /li liTraining opportunities /li liRegular office social events /li /ul /p #J-18808-Ljbffr