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Middle Data Analyst with Data Engineering Expertise IRC252098
| Job: | IRC252098 |
| Location: | Ukraine - Kyiv |
| Designation: | Software Engineer |
| Experience: | 3-5 years |
| Function: | Engineering |
| Skills: | Expertise in MS Excel, HMI, JSON, MSSQL, SQL |
| Work Model: | Remote |
Description:
The project’s talented and diverse workforce develops disruptive robotic solutions for warehouse automation and supply chain transformation, drives results and focuses on customer satisfaction. Our modular and scalable solutions utilize existing space and high-speed robotics combined with proprietary software and technology. Since forming in 2007, the company has grown to over 1000 employees in North America and supports an impressive, high-profile customer base. We seek candidates who are passionate about our solution and approach problem-solving with a creative mind and a commitment to excellence. If you seek a challenge and want to impact the way the world distributes products from manufacturers to store shelves, we invite you to join our team.
Requirements:
• Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field
• 2+ years of experience in data analysis and database management
• Proficiency in SQL and database management systems, including MS SQL.
• Understanding of data warehouses and business intelligence tools
• Advanced Excel skills, including functions, charts, and plots.
• Familiarity with XML and JSON file structures, including object conversion.
• Problem-solving and analytical skills to troubleshoot data issues and technical challenges
• Advanced level English skills
Job Responsibilities:
• Model and analyze data
• Perform data extraction, transformation, and loading (ETL) processes
• Utilize Excel functions, charts, and plots to present data insights effectively.
• Work with XML and JSON file structures to manipulate and convert data between formats.
• Write SQL scripts to validate data in the data warehouse against the data in the source system(s);
• Write SQL scripts to validate data surfacing in BI assets against the data sources
• Conduct data analysis to support decision-making and problem-solving.
• Collaborate with cross-functional teams to ensure data integrity and consistency.
• Ensure documentation and standardization of data processes.
• Communicate findings clearly to a broad range of stakeholders
• Work on data quality validation
• Leverage various data warehouses, ETL tools and BI platforms for client projects
What We Offer
Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.
Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.
DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.
Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.
Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.
Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.