Data Analyst
Content + Source + Freshness • 14 Feb 2026 • 95% confidence
Offer value
Identical job description to previously analyzed job ID but with the same value assessment. May represent a duplicative listing strategy.
- Strong fintech platform with impactful projects
- Engagement with machine learning technologies
- Requires significant technical expertise
Pros
- Engagement with advanced financial technology in a user-friendly format
- Potential for significant impact on small businesses
- Collaboration with management and product development
Cons
- Same constraints of high technical requirements
- Possible tight project deadlines and team expectations
- Limited physical presence may affect team collaboration
Who it's for
Mid-level to Senior • Primarily remote with occasional collaboration
Good fit
- Experienced data analysts in fintech
- Professionals interested in machine learning
- Individuals eager to drive financial insights through technology
Not recommended for
- Budding data analysts without required skills
- Professionals uncomfortable with remote work
- Individuals without a solid technology background
Motivation fit
Key skills
About the job
Data Analyst
- Israel
Description
About Lili
Lili is a financial platform designed specifically for businesses, offering a combination of advanced business banking with built-in accounting and tax prep software. By naturally consolidating financial tools into a user-friendly interface, Lili streamlines and simplifies managing business finances, and makes it an attractive solution for business owners seeking a centralized and efficient way to manage their financial operations.
Lili is seeking a Senior Data Analyst to join our the data team -
As a Senior Data Analyst, you will play a critical role in transforming data into actionable insights to drive business decisions. You will interpret complex datasets, identify key trends, and collaborate with management to enhance our products. Your expertise will also contribute to fraud prevention initiatives and the implementation of machine learning models. Additionally, you will leverage generative AI to create innovative customer-facing features, such as the AccountantAI advisor.
In this role you will:
- Utilize SQL and statistical techniques to interpret data and analyze results.
- Identify, analyze, and interpret trends or patterns in complex data sets.
- Work on fraud prevention and apply machine learning models to detect and prevent fraud.
- Leverage generative AI for developing customer-facing features, such as AccountantAI advisor.
- Develop end-to-end processes for a diverse range of data initiatives and deliver impactful results using data.
Requirements
- B.Sc in Industrial Engineering, Information Systems, or a related field
- Minimum of 3 years of experience as a Data Analyst
- Strong proficiency in SQL
- Experience in Python
- Familiarity with generative AI - an advantage.
- Familiarity with machine learning models - an advantage
- Experience with ETL tools (an advantage) - an advantage
- Experience with dashboard tools such as Tableau - an advantage
