Product Data Analyst

Posted 22 Hours Ago
Be an Early Applicant
Tallinn, Harju maakond
Entry level
Fintech • Software • Financial Services
The Role
The Product Data Analyst will analyze data, interpret trends, and build metrics to help in making informed business decisions. Responsibilities include quantitative analysis, data mining, and collaboration across teams to enhance product offerings and insights.
Summary Generated by Built In

Description

Creditstar Group is a rapidly growing international consumer finance company, headquartered in Tallinn, Estonia and operating in multiple European markets.

At the core, we are a financial technology company that uses automated processes, algorithms and data analysis to make financial instruments easily available to a population of more than 175 million people in our target markets. We are a team of ambitious professionals who value innovation, effective efficiency, high growth, and high performance. For more information on the group, please visit www.creditstar.com.

Our vision is to build and deliver digital banking products of the future. If you want to be part of this, here is your chance.

YOUR POSITION:

PRODUCT DATA ANALYST

YOUR ROLE:

As a valued member of our Product Analytics team, you will be responsible for analyzing our data, interpreting trends and patterns, building metrics and insights as well as helping us make better business decisions across the group.

YOUR RESPONSIBILITIES:

    • Being fully hands-on in applying your expertise in quantitative analysis, modeling, data mining, and presentation of data to deliver actionable insights and recommendations for the business.
    • Regular quality monitoring of Installment Loan and Revolving credit products and proposing improvement ideas based on relevant analysis.
    • Closely working with the Data, Engineering, and Risk teams to share data-related roadmaps and help drive data strategy.
    • Develop ad-hoc reports and analyses to support Installment Loan and Revolving credit product needs.
Requirements

REQUIRED EXPERIENCE AND SKILLS:

    • Strong analytical and problem-solving skills.
    • Strong SQL knowledge - window functions, common table expressions, optimization techniques, clean code, etc.
    • Experience with Python or R.
    • Experience with Power BI or any other BI tools
    • A startup mindset and willingness to work in a fast-evolving environment.
    • Fluency in spoken and written English.
    • Passion about what you do.

BONUS POINTS IF YOU HAVE:

    • Previous work experience in the Financial/Fintech sector.
    • BS in Mathematics, Economics, Computer Science, Physics or Statistics
    • Good MS Excel skills
    • Knowledge of Data Transformation tools like DBT
    • Knowledge Data Orchestration tools like Airflow
    • Experience working with Atlassian (Confluence, Jira)
Benefits

WE OFFER:

    • Dynamic, challenging, and rewarding work within a growing international company where one can REALLY make an impact;
    • Regular company parties and events;
    • Brand new office in the center of the city with games and free snacks/drinks;
    • Competitive remuneration package
    • Sports or health insurance compensation
    • Birthday day-off

Join us and contribute to our mission while advancing your career. Apply now!

* Please note that this is not a remote position and requires to be present at the office at least 3 days a week.

Top Skills

Python
R
SQL
The Company
HQ: Tallinn, Harjumaa
70 Employees
On-site Workplace
Year Founded: 2006

What We Do

Creditstar Group is a rapidly growing international consumer finance company, headquartered in Tallinn, Estonia and operating in multiple European markets. Our vision is to build and deliver digital banking products of the future.

At the core, we are a financial technology company that uses automated processes, algorithms and data analysis to make financial instruments easily available to a population of more than 100 million people in our target markets. We are a team of ambitious professionals who value innovation, speed, high growth and high performance.

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