91
Reģistrācijas numurs: 40203574600
- Apraksts
- Pamatinformācija
- Uzņēmums
We are looking for a Data Analyst to join the Data Science and Analysis team at Ecofinance, part of Dyninno Group's fintech division.
Ecofinance is a fast-growing fintech company providing accessible B2C financial services across Romania, Moldova, and the Philippines. Operating under the Creditprime and Honey Loan brands, we offer a range of online lending products, including credit lines and instalment loans. Since its establishment, Ecofinance has issued over 267 million EUR in loans and served more than 2 million customers.
As a Data Analyst, you will work with complex datasets to deliver actionable insights that support business decisions across risk management, marketing, and other functions. Your analysis will help optimize lending performance, improve portfolio quality, and contribute to the development of data-driven solutions in the countries where we operate.
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.
The salary range for this position is 2500 EUR to 2800 EUR gross per month depending on your experience and skills.
With us you will:
- Be a part of something big – work in a fast-growing, global, and modern company.
- Thrive in a great culture – collaborate in an open, supportive, and fun environment.
- Join forces with a diverse international team to deliver projects with worldwide reach.
- Get the credit you deserve – enjoy recognition programmes that celebrate your impact.
- Keep growing – take advantage of career development opportunities that support your ambitions, attend local trainings and conferences, as well as get access to international online training platform (Coursera).
- Receive a paid day off on your birthday.
- Celebrate together – join monthly events, activities, and team traditions.
- Stay inspired in a culture of knowledge sharing – from interactive townhalls to internal lectures.
- Share the success – earn referral bonuses for bringing in great talent.
- Have flexible hybrid work options – 3 days a week from the office and 2 days remotely.
- Enjoy exclusive discounts and special offers designed just for our team.
- Get health benefits – fully covered health insurance after end of the trial period.
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!
Latvia: 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/privacy-notice-latvia/
€
2500 - 2800
Atrašanās vieta
- Rīga, Latvija
Jeruzalames iela 1 - Hibrīddarbs
Darba veids
- Pilna slodze
Valodas
- Angļu
- Latviešu
Kontaktpersona
Jūlija Šuškova
Jūlija Šuškova
Ecofinance is a fast-growing fintech delivering accessible B2C financial services worldwide as a part of Dyninno Group. Through brands like Creditprime and Honey Loan, we offer instalment loans and credit lines via our online platform, serving over 2 million clients across Romania, Moldova and the Philippines.
Reģistrācijas numurs: 40203574600
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