Top Entry Level Data & Analytics Jobs in Pittsburgh, PA

The Operations Analyst will provide technical support related to backup and recovery services, ensuring successful service delivery, conducting systematic analysis of incidents for improvements, coordinating solutions to meet business needs, and leading initiatives within a collaborative team environment.

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 Valuation Analyst at Colliers, you will support the appraisal process by partnering with a Senior Valuation Services Director, conducting market research, assessments, and data analysis. You'll focus on identifying errors in appraisals and collaborating with other departments to gather necessary information, while striving to become a licensed appraiser.

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.

The position involves leveraging large datasets to drive data-driven decisions for government clients. Responsibilities include designing experiments, building predictive models, optimizing processes, and collaborating with various teams to implement scalable statistical systems.