Top Remote Entry Level Data & Analytics Jobs in Orlando, FL

As a SOC Analyst, you will monitor security events, perform threat analysis, and respond to incidents. Responsibilities include developing response procedures, providing guidance to the security team, and staying updated on security threats. You will work independently with customers and troubleshoot basic issues.

As a Variant Scientist, you will classify somatic and germline variants, analyze molecular data using various software tools, interpret scientific literature, and generate high-quality clinical reports. You will also ensure quality control and may provide training for junior team members.

As a Staff Data Scientist at Spring Health, you will work on innovative mental health technologies, helping to revolutionize care delivery by analyzing data and providing insights that inform the development and enhancement of health solutions tailored to individual needs.

The successful candidate will teach courses in mathematics, statistics, or data science while engaging in interdisciplinary research initiatives and collaborating with faculty across various fields. They will incorporate modern methods like machine learning in their teaching and research.

The Reporting and Visualization Analyst will build and maintain reports and dashboards using Tableau and Metabase. Responsibilities include defining data requirements, automating reports, translating data insights into visuals, ensuring consistency across data sources, and providing support to business users with BI tools.

As a Revenue Operations Data Analyst at Honeycomb, you will analyze and connect crucial metrics across marketing, sales, and customer success teams, generating actionable insights to drive business strategies. You will own GTM metrics, create self-service tools, and provide clarity in decision-making by delivering comprehensive analysis of customer journey data.

As a Data Scientist at Bond, you will design and maintain ETL processes for financial data, analyze key performance indicators to generate reports, and collaborate with cross-functional teams to drive data-driven decision-making and operational efficiency.