Position: Data Analyst
Company: PLATMA
Experience required: 2y
English level: upper

As a Data Analyst, you will be responsible for processing, analyzing, and visualizing
complex data sets to provide valuable insights to the company's leadership team. You
will work closely with the business stakeholders to understand their data requirements
and provide data-driven solutions to their problems. You will be responsible for the
entire data lifecycle, from data acquisition to analysis and visualization.

Requirements:
● Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.
● 3+ years of experience in data analysis, data science, or a related field.
● Strong knowledge of SQL, Python, R, and other data analysis and visualization tools.
● Excellent analytical and problem-solving skills.
● Ability to work collaboratively with business stakeholders and cross-functional teams.
● Experience with machine learning algorithms and statistical modeling techniques.
● Familiarity with data warehousing, data modeling, and data architecture principles.
● Strong communication and presentation skills.

Responsibilities:
● Collaborate with business stakeholders to understand their data requirements and
develop solutions to meet their needs.
● Collect, process, and analyze large and complex data sets using SQL, Python, R, and
other tools and technologies.
● Develop data visualizations and reports to communicate insights and findings to
stakeholders.
● Continuously monitor and evaluate data quality to ensure accuracy and reliability.
● Perform statistical analysis and modeling to identify trends, patterns, and anomalies
in the data.
● Provide actionable insights and recommendations to support business decisions.
● Develop and maintain data pipelines and automated workflows to improve data
collection and processing efficiency.
● Construction of mathematical risk assessment models.
● Creation of a forecasting and scoring model

Benefits:
● Opportunities for professional growth and development.
● Access to cutting-edge technologies and tools.
● A dynamic, fast-paced work environment.
● Flexible work arrangements.
● The opportunity to work on projects that have a meaningful impact on society.