Position: Data Analyst
Category: Data Analyst
English level: fluent
Years of experience: 1.5

Pivotal Role at Amazon: As the only Business Analyst in my department at Amazon, I undertook the immense responsibility of building in data visibility for the entire team. Through my initiatives, I successfully onboarded my team to the Business Intelligence (BI) System. This involved creating automated dashboards leveraging both internal and external data sources and extensively using SQL to offer data support.

Significant Cost Savings: One of the most tangible impacts of my efforts at Amazon was the realization of a substantial cost saving of €1.1 million. This accomplishment not only underscored the value of data-driven strategies but also highlighted my ability to harness data for tangible business benefits.

Rapid Skill Acquisition: Recognizing the importance of data analytics in the modern world, I embarked on a self-driven educational journey. Within just two months, I successfully completed over 20 online courses, focusing on analytics tools and programming languages. This not only reflects my dedication but also my ability to quickly grasp and master new concepts.

Certifications from Industry Leaders: To further validate and reinforce my expertise, I secured certifications from renowned industry giants like Google and Microsoft. These certifications not only bolstered my credentials but also provided me a competitive edge in the data analytics domain.

Transition into Data Analytics: Despite starting my career as a Civil Engineer, my profound interest in data analytics coupled with my strong foundation in mathematics allowed me to pivot into the data domain. I secured a role as a Data Analyst at Freedom Pay, marking my first professional foray into implementing data and analytics in business processes.
Projects and Tasks Completed:

At Amazon: As the sole Business Analyst in my department, I undertook numerous projects, including the onboarding of my team to the Business Intelligence (BI) System. I designed and developed automated dashboards leveraging both internal and external data sources.
At Freedom Pay: Transitioned from Civil Engineering to my initial role as a Data Analyst, marking my entry into practical data analytics within business processes.
At Micromasters from Georgi Tech: Created several individual projects using R and Python on Machine Learning Models with validated efficiency and accuracy.

Technologies Used:

In addition to tools and systems specific to Amazon, I extensively utilized SQL and BI Systems for data support and extraction, backed by Advanced Excel (Pivot, Macros, etc.) and programming languages R and Python. My skills are also reinforced by certifications from notable organizations like Google and Microsoft.

Current Role in the Team:

At Amazon, I was the only Business Analyst for my department. This position came with the significant responsibility of ensuring data visibility across the team, creating valuable data resources, and delivering critical data support to my colleagues, which ultimately led to significant cost savings.

Areas of Improvement:

While I have made considerable progress in the realm of data analytics, I am continually inspired by the ever-evolving nature of this field. Given the growing importance of data in today's world and my foundational background in mathematics, I aim to further enhance my expertise in advanced analytics tools and delve deeper into emerging data-driven strategies to magnify their positive impact on business processes.
Deep Application of Data Analytics: With the world's increasing reliance on data, I expect to be in roles that allow me to leverage my analytics skills to their utmost potential. My experience at Amazon demonstrated the profound impact of data-driven strategies, leading to substantial cost savings, and I anticipate further opportunities to optimize processes and influence strategic decisions through data insights.

Collaborative Environment: At Amazon, I was the only Business Analyst in my department, which, although rewarding, made me realize the importance of collaboration and collective knowledge sharing. I'm eager to be part of teams where there's mutual learning and where I can both impart my knowledge and benefit from the expertise of others.

Continuous Learning: The realm of Data Analytics is ever-evolving. My self-directed learning journey, which included more than 20 online courses in a span of two months, highlights my passion for keeping up with the latest trends and technologies. I expect roles that challenge me, pushing me to broaden my horizons and stay updated.

Areas I Prefer Not to Venture Into:

Monotony: Given the dynamic nature of my past roles and the rapid pace at which I've learned and adapted, I'd prefer not to be in positions that are too repetitive and don't challenge me to think out of the box or innovate.

Limited Scope for Growth: I am ambitious and always on the lookout for growth opportunities, both in terms of role and learning. Positions that have a narrow scope and don't offer room for personal or professional development are not in line with my aspirations.

Purely Theoretical Roles: My stint at Freedom Pay and Amazon underscored the importance of practical implementation. While theory is vital, I wish to steer clear from roles that are entirely theoretical and lack real-world application.