Top Remote Entry Level Data & Analytics Jobs in Pittsburgh, PA

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.

As a Data Quality Analyst, you will support the Global Data Quality strategy, working with various teams to implement data quality rules, ensure high-quality master data, and drive large-scale data cleansing projects. You will manage data quality assets, perform root cause analysis, and deliver specifications to the DevOps team using AGILE methods.

Hims & Hers is seeking candidates for future Analytics and Data Science opportunities to drive data-driven decisions and innovations across the company. The roles involve analytics, machine learning engineering, and building data solutions to enhance user experience and support business growth.

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.