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since 12/2023

Senior Data Analyst | CH Media, oneplus

As Senior Data Analyst for the streaming service oneplus, I drive data-driven decision making by building analytics infrastructure to optimize content performance, understand viewer behavior, and reduce churn while supporting CH Media’s broader digital transformation.

Key achievements:

  • Designed and established a centralized data warehouse in BigQuery (GCP) as organization’s single source of truth, co-managing ETL pipelines (Airflow DAGs) with data engineering to ensure data consistency across all business units.
  • Introduced Tableau as primary self-service BI solution, developing 10+ sophisticated dashboards and 30+ interactive reports (Quarto, HTML) that enabled detailed performance comparisons and reduced ad-hoc analysis requests by 50%.
  • Established a comprehensive performance measurement framework, creating custom scoring systems for content effectiveness and pioneering cohort-based customer analytics for churn and acquisition insights.
  • Delivered actionable insights that directly informed content strategy and customer retention initiatives.
  • Fostered cross-functional collaboration by establishing data partnerships with 5+ business units (Content Management, Content Creation, Marketing, Customer Management, Business Development), breaking down silos and creating shared insights.
  • Led adoption of new analytics technologies through hands-on training and support, upskilling stakeholders in Tableau, Looker Studio, and data interpretation.

Technologies: SQL, GCP, Airflow, R, Python, Tableau, Looker Studio, Quarto, Markdown

CH Media is Switzerland’s leading media company, active in television, radio, print, and digital media. Its streaming platform, oneplus, offers a wide range of Swiss and international series, movies, and original productions. With a strong focus on local content, CH Media aims to strengthen its position in the competitive streaming market.


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06/2021 – 11/2023

Data Analyst | comparis.ch

As Data Analyst supporting the newsroom, I transformed complex market data into compelling stories and insights, enabling journalists to create data-driven content that empowered Swiss consumers to make better financial and lifestyle decisions.

Key Achievements:

  • Reduced article production time by 60% through implementation of coded templates (R/Quarto) for recurring data-driven stories.
  • Developed self-service analytics tools and automated dashboards (Tableau, R) enabling 4+ domain experts to access real-time insights independently.
  • Created 15+ interactive HTML reports replacing static Excel sheets, improving stakeholder engagement by ~50%.
  • Established a data governance framework including quality assurance protocols, version control (Git), and documentation standards adopted team-wide.
  • Successfully managed competing priorities across expert domains (finance, real estate, insurance, and automotive) under tight news deadlines.
  • Led upskilling initiatives to help team members become more data and technology savvy.
  • Enhanced team integration by onboarding and mentoring new data journalists and analysts, providing hands-on training in data pipelines, analytics tools, and newsroom-specific workflows.

Technologies: SQL, dbt, R, Python, Tableau, Flourish, Quarto/Markdown

comparis.ch is Switzerland’s leading online comparison platform, helping millions of users make informed decisions across insurance, finance, real estate, and automotive sectors through data-driven insights and transparent market comparisons. With over 90% brand awareness in Switzerland, analyses from the newsroom regularly spark discussions in major media outlets (NZZ, Tagesanzeiger, Watson) and public discourse.


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06/2020 – 05/2021

Further Education | Constructor Academy

Completed intensive bootcamps with Constructor Acedemy (formerly Propulsion Academy) in full-stack web development and data science, gaining hands-on experience with modern programming frameworks, machine learning techniques, and end-to-end application development. This comprehensive training bridged my analytical expertise with software engineering skills.

Technologies:

Frontend: HTML, CSS, JavaScript, React, Three.js | Backend: Python, Django, Django REST Framework, Node.js, Express | Databases: SQL, PostgreSQL | DevOps: Docker, Git, GitLab CI | Tools: APIs, Flask, Test Driven Development

Data Analysis: R, Python, NumPy, Pandas, JupyterLab/Jupyter Notebook | Visualization: Matplotlib, Seaborn, Plotly, Dash | Machine Learning: Scikit-Learn, supervised/unsupervised learning | Deep Learning & AI: TensorFlow, Deep Learning, NLP, Generative AI | Statistics: A/B testing, hypothesis testing, probabilistic modeling | Tools: APIs, Git


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06/2018 – 05/2020

Data Analyst | PwC (PricewaterhouseCoopers)

As Data Analyst in the Deals advisory practice, I delivered rapid analytics and visualizations for time-critical M&A transactions, supporting due diligence teams and C-level executives with insights that directly influenced investment decisions across banking, pharmaceutical, and retail sectors.

Key achievements:

  • Thrived in high-stakes Deals environment with compressed timelines and rapid turnaround requirements, consistently delivering accurate analysis for M&A advisory and decision-making.
  • Delivered 20+ data analytics projects for M&A deals across banking, retail, pharmaceutical, and healthcare sectors, supporting due diligence and valuation decisions.
  • Built interactive Tableau dashboards for C-level executives, transforming complex financial data into actionable insights for deal negotiations.
  • Automated data collection and cleansing processes using R and Alteryx, reducing analysis turnaround time from days to hours for time-sensitive transactions.
  • Provided analytics support across 5 service lines (Strategy, Financial Services, Corporate Finance, Valuations, Real Estate), managing diverse stakeholder requirements and expectations.
  • Trained 40+ business professionals in both technical tools (Tableau, Alteryx, PowerQuery, PowerPivot) and analytical concepts (visualization best practices, data storytelling, data wrangling) through workshops and 1-on-1 coaching.

Technologies: R, Alteryx, Tableau, PowerBI, PowerQuery, PowerPivot

PwC (PricewaterhouseCoopers) Switzerland is the leading professional services firm among the Big Four, offering audit, tax, legal, and consulting services. Its expertise also extends to areas such as mergers and acquisitions, as well as corporate finance. With a strong local presence and access to PwC’s global network, it delivers tailored solutions that create long-term value for clients across industries.


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10/2016 - 05/2018

Professional development break

Took an intentional career break to focus on family priorities, pursue continuous learning in emerging data technologies and methodologies, and strategically plan my transition from academia to industry.


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05/2012 – 09/2016

Postdoctoral researcher | UZH

  • Location: University of Zurich (Switzerland)
  • Project title: Predicting ecological responses to environmental change.
  • Supervisor: Prof. Owen L. Petchey
  • Keywords: bacteria · ciliates · community dynamics · functional responses · mathematical modelling · microcosm experiments · non-linear dynamics · paradox of enrichment · response to environmental changes · statistical modelling


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2006 – 2012

Doctoral thesis (PhD) | University of Potsdam

  • Ecology (summa cum laude, with highest honours)
  • Location: University of Potsdam (Germany)
  • Project title: Dynamic behaviour of phytoplankton populations far from steady-state – chemostat experiments and mathematical modelling.
  • Supervisors: Prof. Ursula Gaedke and Prof. Bernd Blasius
  • Keywords: cell cycle · demography · chemostat experiments · mathematical modelling · Moran effect · non-steady-state behaviour · response to environmental changes · transient population dynamics
  • Thesis: download


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2005

Diploma thesis (M.Sc.) | University of Potsdam

  • Ecology & Nature conservation, Limnology, Microbiology, and Botany
  • Location: University of Potsdam (Germany)
  • Project title: Validation of a simple bottom-up model for the development of phytoplankton blooms – chemostat experiments and mathematical modelling.
  • Supervisors: Prof. Gregor F. Fussmann and Prof. Ursula Gaedke
  • Keywords: chemostat experiments · harmful algae blooms · initial conditions · mathematical modelling · non-linear dynamics · paradox of enrichment


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2001

Pre-degree (B.Sc.) | JLU Giessen