Position: Junior Data Analyst, Data Analyst
Category: Data Analyst
English level: fluent
Years of experience: 2

As a junior data analyst, I have already accomplished several key milestones in my career. Some of my proudest accomplishments include:

Successfully completing various projects I have been working on and continously working on. I was responsible for cleaning and analyzing a large dataset of data to create accurate forecasts. My analysis helped the company make strategic decisions about investments and cost-saving measures.

I also mentored college students who sought to start a career in data science by helping them develop their technical and soft skills. I provided guidance on data cleaning, analysis, and visualization techniques, as well as tips on communication, time management, and project management. Watching my mentees grow and succeed was a rewarding experience.
As a junior data analyst, I have worked on various projects in the finance, healthcare, and fitness industries, where I have completed a range of tasks such as data cleaning, data analysis, data visualization, and reporting.

In the finance industry, I have worked on projects related to currency analysis and personal earnings analysis. I have used tools such as Python, Excel, and SQL to clean and analyze large datasets, and PowerBI and Tableau to visualize and present insights to stakeholders.

In the healthcare industry, I have worked on projects related to fitness device data. I have used Python and SQL to clean and analyze data, and Tableau and PowerBI to visualize and present insights to stakeholders.

In the fitness industry, I have worked on projects related to member retention, sales forecasting, and market analysis. I have used Python, Excel, and SQL to clean and analyse data, and Tableau and PowerBI to visualize and present insights to stakeholders.

Currently, I am working as a freelance data analyst, where my role is to support clients in their day-to-day activities such as data cleaning, data analysis, and data visualization. I am responsible for developing reports and dashboards, communicating insights to stakeholders, and maintaining data repositories.

Moving forward, I want to improve my skills in machine learning, data engineering, and data architecture. I am also interested in learning new tools and technologies such as AWS, and Hadoop, and advanced machine learning to enhance my analytical capabilities and become a well-rounded data professional.
As a junior data analyst, I have certain expectations for my role and career path. First and foremost, I expect to continue developing my technical skills in data analysis, data visualization, and reporting. I want to become proficient in advanced analytical techniques such as machine learning, predictive analytics, and natural language processing. I also expect to work on more complex projects with larger datasets and more stakeholders, which will help me gain a deeper understanding of the business processes and challenges in the industries I work in.

I expect to work in a collaborative team environment where I can learn from more experienced colleagues and contribute my own unique perspective and skills. I value open communication, constructive feedback, and a culture of continuous learning and improvement. I expect to be given the opportunity to take on new responsibilities and grow in my role as I gain more experience and expertise.

On the other hand, if I were to identify things I do not want to do as a junior data analyst, I would say that I do not want to be stuck in a repetitive or mundane role where I am not given opportunities to learn and grow. I do not want to work in a toxic or unprofessional environment where communication and feedback are not valued, and I do not want to work on projects that do not align with my personal values or beliefs.