Data Analyst for Testing

Salary: $92,281 - $120,735 per year Location : Ukraine, 61112, Kharkiv Employment option: Job type: Full time Job Summary: We are an innovative company looking for a skilled Middle Data Analyst to join our dynamic team. Our collaborative culture fosters creativity and leverages the latest technologies. As a key member of our team, you will be responsible for collecting, processing, and analyzing large datasets to provide actionable insights that drive business decisions. You will play a vital role in helping our organization optimize performance and achieve strategic objectives through data-driven decision-making. If you are a data enthusiast with a knack for uncovering trends and patterns, we would love to hear from you. Skills Must Have Hard skills: - beginner in: Data Quality, Agile, Power BI, Python, Data Governance - competent in: SQL, Excel - proficient in: Data Modeling Nice-to-have Hard skills: - novice in: Databases, Cloud Computing, Oracle, MySQL - beginner in: Tableau, Predictive Analytics, Statistical Analysis, Exploratory Data Analysis - competent in: RDBMS, Data Visualization, Machine Learning Job Description Additional Requirements Qualification: Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field. B2+ English level Experience: Experience creating clear and impactful data visualizations using tools like Tableau or Power BI. Experience with data warehousing and ETL processes. 3+ years of experience as a Data Analyst or similar role. Experience in implementing and tuning models, such as regression, classification, clustering, and decision trees. Experience with data governance and data quality management. Requirements: Proficiency in data analysis methodologies, including statistical analysis, data mining, and data visualization. Strong skills in SQL for data querying, data manipulation, and data extraction from relational databases. A solid understanding of data concepts, data collection, data management, and the ability to interpret charts, reports, and visualizations. Proficiency in programming languages such as Python or R for data manipulation, analysis, and visualization. Strong skills in using SAS for data analysis, statistical modeling, and data management. In-depth knowledge of relational database management systems, including the ability to design, query, and optimize databases. The ability to approach complex problems with a logical and analytical mindset, applying appropriate methods and techniques. A keen eye for detail to ensure data accuracy and identify anomalies or inconsistencies in datasets. Strong written and verbal communication skills to effectively convey complex data findings to non-technical stakeholders. Responsibilities Collaborate with teams to collect and clean data from various sources, ensuring data accuracy and integrity. Apply statistical methods and data analysis techniques to uncover patterns, trends, and…