Convert data into required formatsІнше · Обов’язково
Strong interest in data analyticsІнше · Обов’язково
Ability to visualize complex data in clear and understandable reports and dashboardsІнше · Обов’язково
Advanced data analysis and problem-solving skills, including working with high-volume, continuously generated dataІнше · Обов’язково
Strong understanding of time-series analysis, data aggregation, granularity, and cardinalityІнше · Обов’язково
Ability to analyze data pipelines, identify performance bottlenecks, and apply optimization thinkingІнше · Обов’язково
Experience with data quality analysis, anomaly detection, and root cause analysisІнше · Обов’язково
Hands-on knowledge of SQL, Python, Bash, and DockerНавичка · Обов’язково
Ability to derive value from data to support further decision-making
Інше · Обов’язково
Strong teamwork skills and a positive mindsetІнше · Обов’язково
SoftServe is an equal opportunity employer.Інше · Обов’язково
Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.Інше · Обов’язково
The role focuses on data analytics and working with stakeholders to gather business requirements related to analytics. You will work with large volumes of structured and unstructured data generated by systems, applications, and devices, transforming it into meaningful insights, reports, and dashboards that support further decision-making.
Responsibilities
Work with stakeholders to gather business requirements related to analytics
Extract and aggregate large volumes of structured and unstructured data generated by systems, applications, and devices
Transform data to make it suitable for further analysis
Validate data to ensure its quality, correctness, and usefulness, and resolve discrepancies
Create reference data
Convert data into required formats
Perform additional data enrichment
Create correlations and build data models
Develop visualizations, including reports and dashboards, and present them to stakeholders
Create and support technical documentation related to analytics
Requirements
Strong interest in data analytics
Ability to visualize complex data in clear and understandable reports and dashboards
Advanced data analysis and problem-solving skills, including working with high-volume, continuously generated data
Strong understanding of time-series analysis, data aggregation, granularity, and cardinality
Ability to analyze data pipelines, identify performance bottlenecks, and apply optimization thinking
Experience with data quality analysis, anomaly detection, and root cause analysis
Hands-on knowledge of SQL, Python, Bash, and Docker
Ability to derive value from data to support further decision-making
Strong teamwork skills and a positive mindset
SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.