Data Analyst

We are looking for a Data Analyst to join our Ecofinance team within Dyninno Group fintech division.

Ecofinance is a fast-growing fintech company delivering accessible B2C financial services worldwide. Through our P2P platform, we offer flexible products like short-term loans, installment loans, and lines of credit via brands like Creditprime and Honey Loan – all online for maximum convenience. With over 5 million clients in Romania, Moldova, and the Philippines, Ecofinance ranks among the top ten microfinance providers by loan volume.

As a Data Analyst in our Data Science and Analysis team, you will play a key part in enabling data-driven decision-making across the business. By collecting, analyzing, and interpreting complex datasets, your insights will support risk management, marketing, and other functions, help improve portfolio performance, and contribute to the development of advanced analytical solutions.

Responsibilities:

• Collect, clean, and analyze data from internal and external sources to ensure high-quality, reliable inputs for analysis.
• Develop and maintain analytical tools, dashboards, and data models to support risk monitoring and portfolio analysis.
• Produce and interpret regular and ad hoc reports, translating data into actionable insights for business stakeholders.
• Conduct portfolio analyses to assess risk exposure, monitor key performance indicators, and identify trends across portfolio segments.
• Translate analytical findings into recommendations, supporting risk policy refinement and portfolio optimization.
• Collaborate on optimizing risk policies to maximize the value derived from risk models.
• Communicate findings and recommendations clearly to both technical and non-technical stakeholders, supporting decision-making and operational improvements.

Requirements:

• Degree in statistics, applied mathematics, economics, computer science, or a related quantitative field.
• Advanced SQL skills for querying large datasets and building complex data transformations.
• Proficiency in R or Python for data analysis, automation, or model prototyping.
• Experience with BI tools (e.g., Looker, Power BI, Tableau) to create dashboards and visualize analytical outputs.
• Experience building and maintaining analytical data pipelines, including source data extraction, transformation, and automation using job schedulers (e.g., Cron) is an advantage.
• Strong analytical thinking and attention to detail, with the ability to work with complex datasets and deliver clear insights.
• Ability to communicate analytical findings clearly to both technical and non-technical stakeholders.
• Eagerness to learn new tools, techniques, and business concepts in a fast-paced, data-driven environment.
• Prior experience in financial services or risk analytics is an advantage.

There is no one-size-fits-all here, we are quite flexible and use an individual approach with every Candidate we meet. While getting familiar during our interview, we try to understand where your working experience, professional skills and future contribution to the company can be applied within our multiple business projects.

We don’t want to set any limits, but if we are naming the numbers, then the salary for this position starts from 1,700 EUR NET per month depending on your experience and skills.

With us you will have:

• Career and professional growth opportunities, including participation in relevant local conferences and seminars, as well as access to online courses and training resources aligned with the Company's policy.
• English language courses in the office.
• Meal tickets (70 Lei for each working day).
• Hybrid schedule (1 day remote, 4 days in-office).
• Work in the international environment – team located in different countries.
• Modern and well-equipped office in Chisinau.

We are driven by innovation and continuous learning, building a culture where both personal and professional development thrive.

Join us and grow alongside a dynamic team making a significant impact in the ever-evolving world of fintech!

Please note that the processing of your personal data takes place in accordance with the privacy notice, which could be found here: https://dyninno.com/en/ecofinance-moldova-privacy-notice/

Personnel selection is provided by the competence center of the Dyninno group DYNATECH LLC, Reg. No. 40203110019, address: Jeruzalemes Street 1, Riga, LV-1010, license issued by the SEA for the provision of work placement services No.61/2021 (17.11.2021.)