
Highly Skilled Data Analyst
2 days ago
About People Prime Worldwide is a global IT services company that specializes in digital engineering and IT services. It partners with major firms in various industries, helping clients modernize their technology infrastructure and accelerate innovation.
The company operates globally, with delivery centers in multiple locations and is known for combining deep industry expertise with agile development practices. This enables scalable and cost-effective digital transformation.
- Job Title: Key Data Specialist
- Key Skills: Python, SQL, Spark
Role Responsibilities:
- Analyze and organize raw data to gain insights and trends.
- Conduct complex data analysis and report on results to stakeholders.
- Develop analytical tools and programs to enhance data quality and reliability.
- Collaborate with analytics and business teams to improve data models and foster data-driven decision making.
- Design and implement processes to monitor data quality and ensure production data is accurate and available.
- Perform data analysis to troubleshoot data-related issues and assist in resolution.
We are seeking an experienced Data Engineer who will be responsible for analyzing and organizing large datasets, identifying trends and patterns, and developing solutions to optimize business outcomes.
This role involves working closely with cross-functional teams to gather requirements, design data pipelines, and implement data storage solutions. Strong knowledge of big data technologies such as Hadoop, Spark, and NoSQL databases is essential.
In addition to technical skills, the ideal candidate will possess excellent problem-solving skills, attention to detail, and effective communication skills. They will be able to analyze complex problems, identify key drivers, and develop data-driven recommendations.
As a Key Data Specialist at People Prime Worldwide, you will have the opportunity to work on challenging projects, collaborate with talented professionals, and contribute to the growth and success of our organization.
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