Top Entry Level Data & Analytics Jobs

Develops and optimizes distributed genomic data pipelines using Hadoop, Spark, Hive, Impala, SQL, and ETL workflows. Integrates genomic, laboratory, epidemiological, and public health datasets from external repositories, ensuring data quality, governance, security, and reproducibility. Collaborates with bioinformaticians, epidemiologists, and laboratory scientists to support pathogen genomics, outbreak detection, surveillance, and situational awareness. Maintains version-controlled pipelines, documentation, data lineage, reports, and scientific communications. This is an on-site role in Atlanta with weekly team meetings.

Collect, clean, validate, and analyze operational data from multiple systems to support customer reporting and performance monitoring. Process SQL-based uploads, maintain accurate datasets, identify trends and anomalies, document reporting procedures, and create standardized workflows, dashboards, and tools. The role also supports process improvement and automation initiatives while collaborating with cross-functional teams and traveling to customer sites.

Reviews and processes music royalty statements, validates data, investigates inconsistencies, and transforms financial reports into standardized datasets. Builds Python automation tools, collaborates with Engineering and business teams on internal workflow improvements, monitors operational metrics, and recommends ways to improve processing speed, accuracy, and scalability. The role supports investment, research, finance, and pricing decisions while helping design scalable royalty-data processes.

Manages accreditation and licensure compliance for educator preparation programs through data collection, audits, reporting, assessment systems, surveys, and student record reviews. Coordinates accreditation visits, self-studies, and state and national reports; advises students on licensure pathways; maintains websites and SharePoint resources; supports faculty and administrators with compliance tools; and collaborates with university departments, external agencies, vendors, and IT.

Design, develop, and maintain Python and SQL data pipelines, ETL workflows, database architectures, and AWS cloud integrations. Create schemas, stored procedures, documentation, testing strategies, and secure scalable data solutions. Troubleshoot data quality and performance issues, participate in Agile delivery using Jira, conduct code reviews, and guide other data engineers while collaborating with technical and program stakeholders.

Analyze complex datasets to identify trends, patterns, anomalies, and business opportunities. Develop KPIs, perform root-cause analysis, build Power BI dashboards using DAX, SQL, and Power Query, validate data quality, automate reporting, and translate findings into actionable recommendations for business stakeholders.

Designs, builds, and maintains scalable batch and streaming data pipelines and datasets in Databricks using Python, Spark, and SQL. Supports SQL Server, SSIS, SSRS, and data warehousing environments while improving performance, reliability, data quality, and scalability. Integrates enterprise data sources, enables reporting and AI/ML workloads, and partners with business and IT teams to deliver technical data solutions.

Designs, builds, and maintains scalable batch and streaming data pipelines and datasets in Databricks using Python, Spark, SQL, and Delta Lake. Supports SQL Server, SSIS, and SSRS environments while improving performance, reliability, data quality, and scalability. Integrates enterprise data sources, applies data warehousing practices, and partners with business users, analysts, and IT teams to deliver reporting, analytics, and AI/ML solutions.

Analyze and chart game and practice video to create sophisticated datasets supporting player development research and decision-making. Present findings through reports, presentations, and ongoing results while collaborating across functions. The remote, part-time role requires responsiveness, strong organization, attention to detail, confidentiality, and availability for short-notice assignments, evenings, weekends, and holidays.

Investigates data governance issues using information management tools and data sources, identifies root causes, and partners with data owners, clients, vendors, and architects on resolution. Establishes governance baselines, standards, metrics, audits, and reporting. Defines governance requirements for data elements, integrates governance tests into ETL processes, communicates governance benefits, and drives continuous improvement of data management systems, policies, and processes.