Data Analyst

Moneyfarm

Data Analyst enabling data-driven decisions at fintech company Moneyfarm. Collaborate with teams to transform raw data into actionable insights and trustable information.

Posted 7/21/2026full-timeMilan • 🇮🇹 ItalyJuniorMid-Level💰 €32,000 - €40,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics, with strong SQL skills and experience in building analytics-ready DBT data models. Proficient in using BI tools and capable of translating complex data insights into actionable business decisions while fostering trust in data outputs.

Highest-signal resume keywords

Strong SQLDBT Data ModelingBI Tools (Tableau, Metabase, Looker)AI FluencyStatistical Reasoning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsSQLDBTPythonStatistical AnalysisData ModelingVersion Control (Git)CI/CDData Quality ManagementAnalytical Code Refactoring

Soft Skills

Excellent CommunicationCuriosityAttention to DetailAutonomyStakeholder Management

Tools & Technologies

TableauMetabaseLookerAirflowSpreadsheets

Industry Keywords

FintechWealth ManagementData PlatformKPI DefinitionData Quality Issues

Tech Stack

Tools & technologies

AirflowPythonSQLTableau

About the role

Key responsibilities & impact

Build a profound understanding of the business context you will be embedded into.
Direct AI tools to build queries, dashboards and reports, and take full accountability for the output.
Design, build and maintain analytics-ready DBT data models, applying software-engineering best practices to analytics code.
Own the design, definitions, implementation and exhibition of KPIs and metrics for your working group.
Act as an Data Enabler with your stream aligned group, facilitating access to data and analysis adjusting to different levels of support for different stakeholders.
Foster trust towards Data Analytics outputs: proactively catch and handle data quality issues.
Refine loosely defined questions into structured analysis plans with clear scope, timelines and tradeoffs. Investigate and interpret data to generate insights that inform business decisions.
Contribute the evolution of our Data Platform, with a focus on its AI capabilities: curate the semantic layer, build skills, explore opportunities for further enhancements.

Requirements

What you’ll need

~2 years of relevant work experience in data analytics or related areas.
BSc or higher degree in a quantitative discipline (Data Science, Statistics, Economics, Engineering, Computer Science or similar).
Experience in fintech / wealth management is a plus.
Strong curiosity in exploring data and extracting meaningful insights, supported by attention to detail.
Sound statistical reasoning and commercial awareness; able to connect analysis to the business decision it supports.
Strong SQL is essential. DBT, Airflow and Python are strong plus.
Strong experience with BI tools: Tableau, Metabase, Looker and similar. Strong familiarity with spreadsheets.
Solid software-engineering fundamentals: version control (Git), branching, code review, CI/CD, CLI usage.
Comfortable reading, reviewing and refactoring analytical code.
AI fluency: able to direct AI effectively, detect and handle hallucinations.
Excellent written and verbal communication with non-technical stakeholders; able to lead with the "so what", not just the method.
Ability to work autonomously across multiple stakeholders, balancing quality and delivery in an iterative environment.
Fluency in English is essential (most stakeholders are UK-based).

Benefits

Comp & perks

Health Insurance
Wellness plan
Fee free investments on Moneyfarm platform
Career development opportunities
Training opportunities
Regular office social events