Data Analyst at Lili Financial Services

, , Israel -

Full Time

Start Date

Immediate

Expiry Date

31 Jan, 26

Salary

0.0

Posted On

02 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Machine Learning, Generative AI, Data Analysis, Fraud Prevention, ETL Tools, Dashboard Tools, Statistical Techniques, Data Interpretation, Trend Analysis, Data Initiatives, Business Insights, Accounting Software, Financial Tools, User-Friendly Interface

Industry

Financial Services

Description

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

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Responsibilities

As a Senior Data Analyst, you will transform data into actionable insights to drive business decisions and collaborate with management to enhance products. You will also work on fraud prevention initiatives and implement machine learning models.