22.09.2026 aktualisiert
100 % verfügbar
Operations & Risk Analytics Expert | SQL, dbt, Modern Data Stack | AI-Assisted Workflows
Berlin, Deutschland
Weltweit
MBA, Global Innovation and Finance — IDC Herzliya, Israel (2016)Skills
Apache AirflowBusiness IntelligenceBusiness Intelligence DevelopmentSaasPythonSQLSalesforce TableauSnowflakeFintechDatabricks
Advanced SQL Data Modeling with dbt
Expertise in advanced SQL data modeling and dbt transformations, powering portfolio and operational reporting. Building Snowflake data models and integrating CRM, financial, and operational data sources for commercial teams.
KPI Frameworks and Metric Semantics Ownership
Definition and ownership of KPI frameworks and metric definitions that provide founders, commercial, and operations teams with a single consistent data language, including semantic layers and data governance standards.
Dashboard and Data Storytelling
Design and development of portfolio monitoring, risk-assessment, and operational dashboards using Tableau, Power BI, and Superset, translating complex data into decision-ready views for business and executive stakeholders.
Modern Data Stack
Hands-on experience with the modern data stack including Snowflake, dbt, Airflow, Redshift, Databricks, Fivetran, Amazon S3, and AWS for building scalable data pipelines and infrastructure.
Statistical and Predictive Analysis
Application of statistical and predictive modelling techniques to risk assessment, credit underwriting, loss performance tracking, and operational analytics across fintech and B2B SaaS environments.
Python for Analysis and Automation
Writing Python scripts for statistical and ad-hoc analysis, automated recurring workflows, and data exploration, supporting both analytical and operational use cases.
AI-Assisted Analytics Workflows
Daily use of AI coding assistants for SQL development, data exploration, and debugging. Application of prompt engineering for analytics and AI-agent automation using tools such as Make and Zapier.
Operations, Logistics, and Risk-Assessment Analytics
Deep experience in operations, logistics, and risk analytics across fintech and B2B SaaS scaleups, including credit underwriting models, risk-monitoring dashboards, and regulatory reporting systems.
Self-Service Analytics Enablement
Driving self-service BI adoption through dashboard usability improvements, stakeholder training, and standardised metric definitions, enabling business teams to independently access and interpret data.
Cross-functional Partnership with Business and Tech Teams
Acting as liaison between technical and business teams, identifying operational improvements through data and advising executive leadership on data governance, metric definitions, and reporting standards.
Expertise in advanced SQL data modeling and dbt transformations, powering portfolio and operational reporting. Building Snowflake data models and integrating CRM, financial, and operational data sources for commercial teams.
KPI Frameworks and Metric Semantics Ownership
Definition and ownership of KPI frameworks and metric definitions that provide founders, commercial, and operations teams with a single consistent data language, including semantic layers and data governance standards.
Dashboard and Data Storytelling
Design and development of portfolio monitoring, risk-assessment, and operational dashboards using Tableau, Power BI, and Superset, translating complex data into decision-ready views for business and executive stakeholders.
Modern Data Stack
Hands-on experience with the modern data stack including Snowflake, dbt, Airflow, Redshift, Databricks, Fivetran, Amazon S3, and AWS for building scalable data pipelines and infrastructure.
Statistical and Predictive Analysis
Application of statistical and predictive modelling techniques to risk assessment, credit underwriting, loss performance tracking, and operational analytics across fintech and B2B SaaS environments.
Python for Analysis and Automation
Writing Python scripts for statistical and ad-hoc analysis, automated recurring workflows, and data exploration, supporting both analytical and operational use cases.
AI-Assisted Analytics Workflows
Daily use of AI coding assistants for SQL development, data exploration, and debugging. Application of prompt engineering for analytics and AI-agent automation using tools such as Make and Zapier.
Operations, Logistics, and Risk-Assessment Analytics
Deep experience in operations, logistics, and risk analytics across fintech and B2B SaaS scaleups, including credit underwriting models, risk-monitoring dashboards, and regulatory reporting systems.
Self-Service Analytics Enablement
Driving self-service BI adoption through dashboard usability improvements, stakeholder training, and standardised metric definitions, enabling business teams to independently access and interpret data.
Cross-functional Partnership with Business and Tech Teams
Acting as liaison between technical and business teams, identifying operational improvements through data and advising executive leadership on data governance, metric definitions, and reporting standards.
Erfahrung
Berufserfahrungmehr als 10 Jahre
Freelancer seit2024
Sprachen
DeutschverhandlungssicherEnglischMutterspracheHebräischMuttersprache
Projekthistorie
Building Snowflake data models and dbt transformations powering portfolio and operational reporting for non-bank lenders. Defining KPI frameworks and metric definitions for founders and commercial teams. Designing portfolio monitoring and risk-assessment dashboards in Power BI. Using AI-assisted development daily to write SQL, explore data, and ship analytics faster.
Designing Snowflake data models and dbt and Airflow pipelines integrating CRM, financial, and operational sources for commercial teams. Building Power BI and Excel dashboards enabling KPI monitoring, forecasting, and process bottleneck identification. Writing Python scripts for statistical and ad-hoc analysis and automated recurring workflows. Acting as liaison between technical and business teams, identifying operational improvements through data. Based in London, UK and Berlin.
Developed SQL datasets and Tableau dashboards covering funnel performance, conversion, and operational metrics across international markets. Standardised metric definitions and reporting across commercial and operations teams. Partnered with senior leaders to surface growth and process-improvement opportunities from operations data. Drove self-service BI adoption through dashboard usability improvements and stakeholder training. Based in Berlin.