Top Data & Analytics Jobs

As a Data Engineer, you will develop and maintain data ingestion adapters for blockchain networks, implement data ingestion strategies, optimize latency, and collaborate with upstream data sources. You will perform data quality checks and adapt to a dynamic remote work environment.

The Senior Credit Analyst maintains credit quality by underwriting complex commercial loans, preparing credit packages, and performing financial analysis. Duties include preparing reports, advising management on specialized portfolios, and supervising junior staff.

The Telecom Business Analyst will leverage extensive experience to analyze and improve telecom operations using tools such as MS Visio and JIRA. The role emphasizes strong telecom knowledge relating to CRM, billing, and network management, while utilizing Agile and Waterfall methodologies.

The Research Associate role at a new AI startup involves data collection, QA, data analysis, and improving AI interactions with humans. This position offers opportunities for career advancement and learning new software skills on the job.

The Staff Scientist, Analytical will design and execute experiments for silicone polymers characterization using chromatography, spectroscopy, and other methods. Key responsibilities include supporting product development, analyzing data, presenting findings, and collaborating with R&D teams to enhance product innovation and resolve customer issues.

The Operations Analyst is responsible for ensuring compliance with various regulations concerning disputes in card payments. This includes analyzing dispute activities, developing understanding of card network protocols, coordinating remediation plans, and collaborating with stakeholders to enhance oversight processes. Attention to detail and strong problem-solving skills are essential for the role.

As a Senior Data Analyst, you will leverage data analytics and insights to enhance customer experiences and drive strategic decisions at VIU by HUB. You will create and optimize reports, manage stakeholder relationships, and utilize your expertise in Power BI and SQL to analyze large datasets and present findings effectively.