Amir Alinaghi-Master's Thesis
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Experience
Master's Thesis
Friedrich-Alexander University
- Analysis of the role of marriage as an informal insurance in Germany using econometric methods (supervisor: Prof. Dr. Harald Tauchmann).
- Prepared and cleaned multiple panel datasets and extracted relevant variables to create a final panel dataset with over 36,000 observations (2006–2020, SOEP).
- Designed an IV model in Stata to examine the causal link between couple separation and health shocks (mental/physical).
- Conducted robustness checks to ensure stability and validity of the results.
FP&A Analyst, Sales Forecasting & Deal Execution
Siemens AG
- Supported the NXTLVL sales transformation project by analyzing and consolidating regional KPI and performance data.
- Created and prepared quarterly KPI and sales performance reports for headquarters and international stakeholders.
- Performed statistical analyses and variance analyses between target and actual metrics to support forecasting and performance management.
- Developed and maintained interactive Power BI dashboards to visualize project progress and KPI transparency.
- Optimized the sales enablement platform (Highspot) and supported cross-functional reporting and communication processes.
Student Assistant
Friedrich-Alexander University
- Assisted PhD students with literature research and analysis of empirical academic articles.
- Helped with the final review of publication-ready scientific papers (proofreading, formatting, and creating text and equations in LaTeX).
Industry experience
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Experienced in Manufacturing and Education.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Business Intelligence, Finance, Sales, and Research and Development.
Summary
Finance and data analyst with experience in KPI reporting, forecasting and performance analysis within an international sales transformation project at Siemens. Strong knowledge in data analysis, econometric modeling and business planning.
Project: Developed a sales forecasting model with Python and machine learning to analyze and forecast sales data – GitHub.
Skills
- Financial Planning & Analysis: Forecasting, Kpi Reporting, Performance And Variance Analysis (Target Vs. Actual), Business Planning, Management Reporting
- Data Analysis: Python (Pandas, Numpy, Scikit-Learn), Sql, Stata
- Reporting & Visualization: Power Bi, Tableau, Microsoft Excel (Pivot Tables, Xlookup, Vlookup, Index-Match, Power Query), Latex
Languages
Education
Friedrich-Alexander University (FAU)
Master of Science in Economics · Economics · Nuremberg, Germany
Allameh Tabataba’i University
Bachelor of Science in Economics · Economics · Tehran, Iran, Islamic Republic of
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Amir is based in Nuremberg, Germany.
Amir speaks the following languages: Persian (Native), English (Advanced), German (Intermediate).
Amir has at least 3 years of experience. During this time, Amir has worked in at least 3 different roles and for 2 different companies. The average length of individual experience is 1 year. Note that Amir may not have shared all experience and actually has more experience.
Based on recent experience, Amir would be well-suited for roles such as: Master's Thesis, FP&A Analyst, Sales Forecasting & Deal Execution, Student Assistant.
Amir's most recent position is Master's Thesis at Friedrich-Alexander University.
In recent years, Amir has worked for Friedrich-Alexander University and Siemens AG.
Amir is most experienced in industries like Manufacturing and Education.
Amir is most experienced in business areas like Business Intelligence, Finance, and Sales. Amir also has some experience in Research and Development.
Amir holds a Master in Economics from Friedrich-Alexander University (FAU) and a Bachelor in Economics from Allameh Tabataba’i University.
Amir is immediately available full-time for suitable projects.
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Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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