Senior Data Analyst

About ArborKnot:

ArborKnot is a dynamic alternative credit quant fund with $300 mn AUM (as of the end Jan 2024) and active transactional activity in both Europe and Australia. Our mission is to disrupt traditional market practices through the delivery of market access by providing recurring and reliable liquidity across the consumer distressed debt market while creating a more competitive and dynamic marketplace for both our clients and consumers. As a relatively new market entrant, we offer an environment where lateral thinking and innovation thrive, and where individuals have the chance to make a significant impact from the outset.

The group retains offices in Berlin, New York & Sydney, and an innovation lab in Tel-Aviv, Israel. 

This is a unique opportunity to be part of a fast-growing business with an engaging multicultural team of professionals driving positive industry and social change.

JOB SUMMARY / OBJECTIVE

We are seeking an experienced and innovative senior Data Analyst to join our expanding Data team based in Tel Aviv. As a Data Analyst at ArborKnot, you will play a crucial role in driving performance analysis and leveraging creative, data-driven insights to inform strategic decision-making. You will collaborate closely with cross-functional teams to analyze financial data, identify trends, and uncover actionable insights that drive business growth and optimize performance strategies.

RESPONSIBILITIES 

● Develop quantitative analysis, tools, dashboards, and models to support well-informed and data-driven decision-making of our platform

● Perform exploratory data analysis to support business and research hypothesis

● Improve data process and identify data gaps

● Query data warehouse to collect data and build/maintain reports with visualization tools

● Present recommendations to relevant stakeholders and executives

QUALIFICATIONS / EXPERIENCE REQUIRED

● 3+ years of proven experience as a data analyst, analyzing trends, performing root cause analysis, and driving business decisions with data-driven strategies

● Curious & critical-thinking mindset is key to success in this role

● 2+ years experience in Python, especially data-related libraries

● 3+ years experience in SQL and spreadsheet modeling skills with experience in manipulating and interrogating data

● 3+ years experience in Tableau, including measurement and experimentation

● Fluent English language skills (written & spoken)

● Fintech experience - An advantage

● Strong team player with excellent communication and collaboration skills 

● Self-learner, self-sufficient proactive problem-solver, able to work independently

● Academic degree in a quantitative field – Computer Science, Mathematics, Statistics, Engineering, or related field – or equivalent experience