דרושים » דאטה » מפתח /ת אפליקציות ומפתח /ת BI

We are seeking an experienced and passionate BI Developer with a strong background in Data Analysis to join our growing Data & Analytics team. In this role, you will own the entire BI development lifecycle-delivering scalable, reliable BI solutions and actionable insights.

You will play a key role in developing a robust data infrastructure, building intuitive dashboards, and ensuring data integrity across all reporting layers. The role is ideal for candidates who are adept at balancing hands-on development work and data analysis. You will thrive in this position if you enjoy solving complex problems, simplifying intricate data pipelines, and translating business needs into efficient data models and visualizations.

Core Responsibilities
Dashboard Development - Design, implement, and iterate KPI‑oriented Tableau dashboards that expose product, growth, and engagement signals.
ETL / ELT Engineering - Partner with data engineers to architect and orchestrate ELT pipelines. Youll own the analytics layer and semantic definitions.
Hands‑on experience with Amazon Redshift and dbt is a significant advantage.
Data Quality & Governance - Deploy validation tests, reconciliation queries, and lineage tracking to guarantee accuracy, consistency, and traceability across curated datasets and published metrics.
Data Analysis - Perform deep-dive analysis on dashboards to generate meaningful, actionable insights.

We are looking for a Trading Analyst with a strong analytical mindset and a genuine interest in financial markets. This role sits at the heart of our trading operations and decision-making processes.
You will go beyond pure data analysis - transforming complex datasets into clear insights, influencing strategic decisions, and helping optimize how our trading systems operate at scale.
As a Trading Analyst, you will:
Be responsible for the ongoing configuration and performance of our financial instruments.
Analyze market data, user behavior, and internal performance metrics to identify opportunities and risks.
Translate data insights into practical, actionable recommendations that impact business outcomes.
Develop a deep understanding of trading mechanics across asset classes - including Stocks, Commodities, Futures, Options, and more.
Establish strong communication channels and build excellent working relationships with diverse stakeholders like Product, Marketing, Operations, and R&D teams.
Monitor business performance, define KPIs, and build measurement frameworks to support data-driven decisions.
Provide stakeholders with actionable recommendations, insights, and conclusions.