sima Niaztalkhouncheh

Bis 2025, IT Cost & Finance Systems Analyst, OIEC
Berlin, Deutschland

Fähigkeiten und Kenntnisse

Business Intelligence
Cash Flow
Reporting
sql
Google Analytics
Google BigQuery
Microsoft Power BI
Dashboards
Data Analysis
Controlling
Python
Data Warehouse
Data Modeling
Data visualisation
Forecast
Financial Accounting
Snowflake
Reports
Financial Controlling
aws billing
AWS Cost Explorer
Savings Plans & Azure Cost Management
Cost forecasting
allocation models
Financial Variance Analysis
KPI design
budget alerting
Cloudability
CloudHealth
Flexera
Cost allocation
chargeback

Werdegang

Berufserfahrung von sima Niaztalkhouncheh

  • 8 Jahre und 2 Monate, Jan. 2017 - Feb. 2025

    IT Cost & Finance Systems Analyst

    OIEC

    Built cost allocation models Designed tagging and allocation logic Led cost forecasting and variance analysis Built Power BI cost dashboards and KPI automated reporting, cutting manual workload by 40%. Acted as liaison between engineering, finance, and leadership

  • 2011 - 2017

    Data Analyst & Software Administrator

    Novin Insurance

    Designed and implemented a data warehouse integrating sales, customer, and financial data, enabling consistent cross-unit reporting. Developed KPI dashboards for digital sales performance, revenue tracking, and risk analysis. Built forecasting models for sales and loss prediction, contributing to financial planning and risk assessment. Automated SQL-based reporting processes, reducing manual workload and improving data accuracy.

Ausbildung von sima Niaztalkhouncheh

  • 2 Jahre und 5 Monate, Feb. 2024 - Juni 2026

    M.Sc. Data Analytics | University for the Creative Arts and Technology, Germany

    University of the Arts and technology London

    M.Sc. Data Analytics | University for the Creative Arts and Technology, Germany Thesis: Developing a Data-Driven FinOps Framework for Automated Cloud Cost Allocation and Variance Analysis in Hybrid-IT Environments using ML

  • 2017 - 2019

    MBA in E-Commerce

    Azad University

    Thesis: Success Factors of SAP ERP Implementation in the Oil Industry

Sprachen

  • Englisch

    C1 (Fließend)

  • Deutsch

    B1-B2 (Gute Kenntnisse)

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