Junior Data Management Analyst
Job Description Soldo is the proactive spend management solution that frees progressive businesses to accomplish more.
We free finance with a uniquely proactive approach to managing decentralised spending.
By combining a powerful spend management platform, user-friendly app, and versatile payment methods, Soldo automates expense admin to eliminate the inefficiency in managing business spending.
We're both a financial services and a software company - with our own platform proactively managing decentralised spend, allowing organisations to empower employees to spend when and where it's needed, keeping productivity high while avoiding month-end surprises.
Founded in 2015 by Italian digital innovator Carlo Gualandri, we have grown to become one of Europe's fastest growing fintech companies.
Today, we're over 350 employees strong, with offices in the UK, Italy and Ireland.
With four offices in London, Dublin, Rome and Milan, we're helping over 25, 000 organisations across 31 countries to end slow, messy, and inefficient spending, bringing financial agility and control over every expense.
We're looking for people with big ambitions, cool heads, sharp minds, and warm hearts.
Soldo could be the right place, the right size and the right time, for you to come and join us, as we grow together.
What's in it for you Competitive salary Private healthcare coverage for you and your family Lunch Vouchers Genuine career development opportunities (we love to see you succeed) - including your own annual €500 career development budget Access to training and development - including a mentoring programme, workshops and the opportunity to progress onto our leadership programme Flexible working options including working from home or our Milan or Rome offices + 60 days' work anywhere Statutory Leave entitlements plus extra days off on Christmas Eve, New Year's Eve and your Birthday Your own personal company Soldo card Employee Assistance Programme CAF Annual Fiscal & Financial Support The role We are looking for an enthusiastic and motivated Data Specialist to join our team and support the design and operational activities related to our Data Warehouse and Data Lake.
This is an excellent opportunity for a recent graduate who is eager to apply their knowledge of data management systems, work with large datasets, and contribute to the development of innovative data solutions.
If you're passionate about data, eager to contribute to impactful projects, and ready to start your career in a dynamic and innovative environment, we would love to hear from you!
Responsibilities Assist in the analysis, development, and optimization of the company's data warehouse, data lake, and other data management systems.
Support the design and implementation of ETL processes (Extract, Transform, Load) and data marts, ensuring high-quality and secure data management.
Work with SQL and NoSQL databases to query, analyze, and process data.
Collaborate closely with Business Intelligence experts and Data Scientists to deliver accurate and actionable data insights.
Leverage AI tools to enhance data integration, analysis, and decision-making through automation, predictive modelling, and advanced data quality checks.
Conduct thorough testing of data components and processes to ensure performance and accuracy.
Support the team in optimizing data workflows and improving overall data systems performance.
Contribute to projects by providing data-driven insights to inform key business decisions.
We're looking for someone who must have Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, Phisics or a related field.
Good academic knowledge of databases and experience with SQL.
Familiarity with ETL processes, data integration, and relational database concepts.
Good understanding of data modelling and data governance.
Knowledge of Python programming or other general-purpose language.
Familiarity with tools like Microsoft Excel or other BI tools for analyzing datasets.
Ability to work effectively in a team and communicate results clearly.
Good problem-solving skills with an eagerness to find solutions.
Good knowledge of English, both written and spoken.
It would be nice if you have Basic Knowledge of cloud platforms such as AWS Basic knowledge of Unix or Linux environments.
Basic Knowledge of NoSQL databases (e. g. , MongoDB, Cassandra).
Exposure to programming languages like R or Matlab.
Understanding of data science concepts and machine learning basics.
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