Top Remote Data & Analytics Jobs

As a Data Engineer at Wealthfront, you will build and maintain core datasets, collaborate with various stakeholders, ensure data quality, design scalable data pipelines, and manage reporting tools, all to support data-driven decision making and automation within the company.

The FSP Resourcing Analyst supports the resourcing function at Parexel by ensuring optimal resource allocation to meet business needs. They engage with senior management to make informed decisions, analyze resource demands, create projection reports, and assist in developing resource planning tools, all while maintaining compliance with regulatory requirements and company procedures.

The Senior Programmer Analyst Lead is responsible for enhancing and developing software systems, leading and mentoring team members, troubleshooting complex issues, and ensuring project execution and system integrity. Responsibilities include collaborating with stakeholders, defining priorities, delivering technical support, coding new software solutions, and maintaining documentation.

The Lead Database Administrator will oversee all phases of database development, including design, coding, administration, and maintenance. Responsibilities include optimizing DBMS, strategic load design, security implementations, and infrastructure management while collaborating closely with teams to address business needs.

The role involves building and maintaining comprehensive account databases for clients, researching and identifying relevant companies, and validating B2B data accuracy. A skilled B2B Data Developer will utilize data mining techniques and collaborate with internal teams to tailor data collection to client needs.

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 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.