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Hi, I’m Phil Howson—a data analyst who loves turning numbers into clear, actionable insights. Over the past five-plus years I’ve coordinated research, managed projects, and delivered advanced data analyses that inform strategy and operations. I’m passionate about building end-to-end data pipelines, creating interactive dashboards, and communicating complex results to both technical and non-technical stakeholders. I thrive on collaborating with cross-functional teams to drive data-driven decisions and measurable impact.…Hi, I’m Phil Howson—a data analyst who loves turning numbers into clear, actionable insights. Over the past five-plus years I’ve coordinated research, managed projects, and delivered advanced data analyses that inform strategy and operations. I’m passionate about building end-to-end data pipelines, creating interactive dashboards, and communicating complex results to both technical and non-technical stakeholders. I thrive on collaborating with cross-functional teams to drive data-driven decisions and measurable impact.

Phil Howson

Data Analyst, Data Scientist, Project Manager, +2

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Hi, I’m Phil Howson—a data analyst who loves turning numbers into clear, actionable insights. Over the past five-plus years I’ve coordinated research, managed projects, and delivered advanced data analyses that inform strategy and operations. I’m passionate about building end-to-end data pipelines, creating interactive dashboards, and communicating complex results to both technical and non-technical stakeholders. I thrive on collaborating with cross-functional teams to drive data-driven decisions and measurable impact.…Hi, I’m Phil Howson—a data analyst who loves turning numbers into clear, actionable insights. Over the past five-plus years I’ve coordinated research, managed projects, and delivered advanced data analyses that inform strategy and operations. I’m passionate about building end-to-end data pipelines, creating interactive dashboards, and communicating complex results to both technical and non-technical stakeholders. I thrive on collaborating with cross-functional teams to drive data-driven decisions and measurable impact.

Available to hire

Hi, I’m Phil Howson—a data analyst who loves turning numbers into clear, actionable insights. Over the past five-plus years I’ve coordinated research, managed projects, and delivered advanced data analyses that inform strategy and operations.

I’m passionate about building end-to-end data pipelines, creating interactive dashboards, and communicating complex results to both technical and non-technical stakeholders. I thrive on collaborating with cross-functional teams to drive data-driven decisions and measurable impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Language

German

Advanced

English

Fluent

Work Experience

Data Analyst at Freelancer

August 1, 2025 - Present

Built end-to-end data workflows including data ingestion, cleaning/transformation, and analysis; developed interactive dashboards using Power BI to support business decisions; queried and transformed large-scale datasets using Google BigQuery; created data visualizations in Python to explore trends and communicate findings through clear, narrative-driven storytelling.

Data Analyst at Berliner Institut für Innovationsforschung

April 1, 2025 - July 1, 2025

Designed and automated ETL pipelines for large multilingual datasets using browser automation and APIs; developed an LLM-powered RAG workflow to synthesize customer insights; statistical analysis of sentiment trends and timeseries forecasting; delivered actionable analyses of 500K+ records supporting product pricing and customer strategy.

Data Analyst at LMU München

March 1, 2023 - August 1, 2024

Designed data pipelines for BAS, automated annotation workflows, and built predictive analytics, raising productivity by 15%; partnered with researchers and business stakeholders to translate data into insights.

Project Manager & Data Analyst at Leibniz-ZAS

September 1, 2021 - March 1, 2023

Engineered data ingestion and cleaning pipelines, improving workflow efficiency by 30%; built statistical analysis pipelines (GAMMs, linear regression, conditional inference trees); acted as key contact between stakeholders and technical team, aligning requirements with solutions.