Open to opportunities

Christian Fraatz

@christianfraatz

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Team Lead in Business Intelligence with a focus on data-driven solutions.

Germany

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What I'm looking for

I seek a role that fosters innovation and collaboration, focusing on impactful data solutions.

As a Team Lead in Business Intelligence & Analytics at Enpal, I manage a talented team of BI Analysts and Analytic Engineers, driving impactful data products for Germany's largest residential energy solution provider. My role involves collaborating with C-level executives to define requirements and execute projects that enhance data accessibility and scalability.

Previously, I served as a Systems and Analytics Engineer at Tesla, where I provided analytical insights to support the transition to renewable energy. My key achievements include optimizing supply chain analytics and improving service parts availability across EMEA. My academic background in Industrial Engineering, combined with hands-on experience in energy analytics, positions me uniquely to contribute to data-driven decision-making in the energy sector.

Experience

Work history, roles, and key accomplishments

Current

Team Lead Business Intelligence & Analytics

Current

Enpal

Jan 2023 - Present (2 years 4 months)

Managed and developed a team of BI Analysts and Analytic Engineers, providing high-quality data products used by over 500 internal monthly active users. Collaborated with VP and C-Level stakeholders to define requirements, create product roadmaps, and execute projects. Co-owned the development of the company's data structure to advance data-driven decision-making, increase accessibility, and ensur

Data Analytics Business Intelligence Data Warehousing Snowflake Stakeholder Management Team Leadership Data Governance Power BI SQL

Systems and Analytics Engineer

Tesla

Feb 2020 - Dec 2023 (3 years 10 months)

Provided analytical insights on the fulfillment and distribution operations of Tesla Energy and Service products globally. Collaborated with globally distributed teams to solve unique, local, and time-constrained challenges. Offered data-driven consultation on the expansion of Tesla Supercharger, Service Parts Warehouse, and Distribution Center.

Supply Chain Analytics SQL Python Power BI Tableau Data Visualization

Research Assistant – Energy Analytics

Technical University of Berlin

Jul 2019 - Jan 2020 (6 months)

Contributed to research efforts investigating the impact on energy infrastructure due to Germany's decarbonization strategy, focusing on gas and electricity sectors. Provided analytical insights regarding impact assessments on natural gas grids, electricity load profiles, and geothermal energy site potential. Introduced data loading, consolidation, cleaning, and verification algorithms for a compr

Python Jupyter Geopandas Time Series Analysis Data Cleaning Research Data Modeling

Working Student, Portfolio Management

Coca-Cola Europacific Partners

Nov 2018 - Apr 2019 (5 months)

Supported portfolio management and business transformation initiatives within the largest bottler of The Coca-Cola Company. Assisted in various projects aimed at optimizing product portfolios and streamlining business processes. Contributed to strategic planning and execution.

Portfolio Management Business Transformation Data Analysis Strategic Planning Market Research Process Improvement Reporting Microsoft Office Communication

Intern, Product Development

Audi AG

Jan 2018 - May 2018 (4 months)

Contributed to product development and product strategy digitization efforts at a premium automotive manufacturer. Assisted in analyzing market trends and customer needs to inform product decisions. Supported the integration of digital solutions into product lifecycle management.

Product Development Product Strategy Digitalization Market Analysis Data Collection Trend Analysis Data Reporting Research

Education

Degrees, certifications, and relevant coursework

Technical University of Berlin

M.SC. in Industrial Engineering, Industrial Engineering

Grade: 1,5 (GPA ~ 3.7)

Activities and societies: German National Scholarship holder (Deutschlandstipendium)

Focused on Data Analytics with a technical emphasis. Completed a thesis on Occupancy Anticipation using multimodal sensor inputs for Exploration and Navigation, applying a Deep Learning Computer Vision approach to facilitate navigation, exploration and situational awareness in Simultaneous-Localization-And Mapping (SLAM) – Methodologies.

Technical University of Berlin

B.SC. in Industrial Engineering, Industrial Engineering

Grade: 1,8 (GPA ~ 3.3)

Activities and societies: Exchange Semester at Korea University Business School in 2017, Seoul

Specialized in Mechanical Engineering with a technical emphasis. Conducted thesis research on the selection and integration of open-source data for power source merit-order, analyzing publicly available data on the European conventional power plant landscape to reduce dependency of national reporting and creation of Merit-Order profiles.