Top Remote Entry Level Data & Analytics Jobs

The Data Analytics SME will leverage Excel and Power BI for data analysis and visualization, creating insightful reports and managing data efficiently. Responsibilities include performing advanced data analysis, designing pivot tables, developing Power BI dashboards, and providing actionable insights to support decision-making across the organization.

As an Analyst at Keen Decision Systems, you'll support clients in improving marketing and media planning using the Keen Platform. Responsibilities include data manipulation, model quality checks, optimizing marketing plans, and generating reporting narratives. You will provide training to clients on using the platform effectively and assist the Account Directors in strategy execution.

As an Analyst in the Holt Group, you will conduct financial, market, legal, and product research, and craft quantitative analyses, presentations, and reports. You will learn financial modeling while working collaboratively in a part remote, part in-office environment focused on litigation consulting.

The Data Mentor role involves providing technical support, assessment, and guidance to apprentices, ensuring high standards in teaching and learning. Responsibilities include supporting project portfolios, preparing learners for assessments, and maintaining communication with the Learner Success Team.

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.