About Centific
At Centific, people are at the center of our culture.We constantly seek out opportunities for people to enhance their skills,
and emphasize work-life balance for all our employees.We believe that competition can bring out the very best in people
– from our annual creative film and speech contests to our weekly office game tournaments,we mix work and play to engage our people and help our clients succeed.
About Job
Overview
The Data Analyst is responsible for troubleshooting and validating data formats. They identify bottlenecks in data pipelines while analyzing and categorizing client data. The Data Analyst provides feedback to help improve product performance. Entry-level position.
Duties and Responsibilities
• Troubleshooting and validating data formats.
• Identification of bottle necks in data pipelines.
• Provide feedback to help improve product performance.
• Additional duties as required.
Requirements
• Ability to process large batches of formatted data.
• Ability to create dashboards and graphs to facilitate decision making
• Advanced knowledge of MS Access and Excel.
• Willingness to work overtime if necessary.
• Remote, office, or hybrid work environment depending on specific position.
• Excellent attention to detail.
• Ability to multi-task in a deadline driven environment.
• Quick learner.
• Problem-solver with a strong sense of initiative.
• Excellent written/oral communication skills in English.
Join a growing company using technology to help tackle enterprises’ toughest challenges.
Top Skills
What We Do
Zero distance innovation for GenAI creators and industries
Expertly engineering platforms and curating multimodal, multilingual data, we empower the ‘Magnificent Seven’ and enterprise clients with safe, scalable AI deployment
We a team of over 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers.
We bring platforms, partners and 1.8 million vertical domain experts to create high-quality pre-trained datasets, fine-tuned industry-specific LLMs, and RAG pipelines supported by vector databases.
These innovations can reduce GenAI costs by up to 80% and bring GenAI solutions to market 50% faster in 230 locales.
