Senior Data Analyst at Melio

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

10 Oct, 26

Salary

0.0

Posted On

12 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data Analysis, Tableau, Redash, AI Tools, KPI Definition, Data Visualization, Stakeholder Management, Financial Crimes Analysis, AML, Risk Management, Fraud Management

Industry

Financial Services

Description

Senior Data Analyst- Compliance team As a Data Analyst at Melio you will be working with colleagues from various disciplines, such as - Product, Engineering, Marketing, Sales, Customer Success, Risk, Data Scientists within the team and other Data Analysts - on their KPIs, the way they observe information and the hardest questions each team is facing in order to drive insights and keep Melio a data driven company. You will play a key role in the ability of each team at Melio to keep scaling! Minimum qualifications to apply for this role: 5+ years of experience as a Data Analyst SQL at a high level is mandatory An ability to understand complex ideas and simplify them to relevant stakeholders. Team player, effective interpersonal skills and good vibes. Manage relationships with key partners across different functions, ability to work independently Experience in fast-paced, high-intensity work environment Experience in BI tools such as Tableau, Redash or similar Hands on experience in using AI tools for Data Analytics AI Oriented mind set B.S in one of the following: Industrial Engineering, Statistics, Mathematics, Economics, or a related field. Preferred qualifications (If you have those, we see it as advantage, but it's not a must): Previous experience in Risk and fraud management Previous experience in AML or financial crimes in the Fintech industry How your day is going to look, what you will be doing? - Helping each team to take decisions based on data by: Identify, analyze, and interpret trends or patterns in complex data sets to drive actionable insights Define and implement KPIs across different teams Accompany product features from tech design to feature performance Translate product/business requirements to analytical logics, and create a very clear visualization which "tells the story" using a BI tool or other platform. About Melio: Melio builds business-to-business (B2B) payment tools so small business owners can spend less time in the back office and more time on their craft. As the fastest-growing B2B payment platform in the US, Melio is working hard to find new and better ways to help small businesses succeed in the ways that work best for them. With offices in New York, Denver, and Tel Aviv, and a vibrant work culture, Melio is expanding every single day. We are a diverse group of people who love what we do and do what we love. If you are a driven and passionate team player, you will fit right in. We are an equal-opportunity employer and are always on the lookout for top-notch talent—please reach out if you would like to join us on this exciting journey! About the hiring department: The Data department at Melio collaborates with colleagues from various disciplines—Research Engineers, Analysts, and other Data Scientists—on statistical methods and machine learning techniques (both supervised and unsupervised) in order to develop classification and anomaly detection algorithms. We're the ones making sure the company is meeting its goals by extracting valuable insights from highly complex data. We ask the right questions and find the right answers all in a fast-paced, results, marketing and data-oriented environment. As part of a data team within a fintech company, you’ll have a unique opportunity to make a real impact on Melio, its product, our users and help the company scale #LI-TG1

Responsibilities

The role involves analyzing complex data sets to drive actionable insights and defining KPIs across various teams to support company scaling. You will translate business requirements into analytical logic and create visualizations to tell data-driven stories.