Top Entry Level Data & Analytics Jobs

Supports fundraising operations through gift processing, data importing, cleanup, CRM management, donor record maintenance, tax receipt distribution, and development reporting. Investigates donation-processing errors, tracks fundraising metrics and goals, maintains data accuracy, and meets project deadlines. Requires strong organization, discretion, attention to detail, communication, problem-solving, spreadsheet, database, and CRM skills, plus a bachelor’s degree or equivalent experience.

Design, develop, maintain, and optimize scalable data pipelines and cloud-based data solutions. Build relational and dimensional models for OLTP and OLAP systems, collaborate with stakeholders on enterprise reporting models, and administer data platforms for performance, scalability, and reliability. The role supports internal Finance, Manufacturing, Purchasing, and Sales teams using Azure and on-premises data technologies.

Designs, develops, and optimizes high-availability relational databases supporting high-volume logistics services. Responsibilities include schema and database object architecture, SQL and T-SQL development, stored procedure implementation, performance tuning, scalability improvements, code reviews, prototyping, and end-to-end feature delivery. The role collaborates with engineering and infrastructure teams and may support database administration, cloud migrations, and modern data platforms.

Designs and leads enterprise Master Data Management solutions across Property, Client, and Reference domains. The role owns Profisee architecture and administration, integrates it with Databricks, Salesforce, SQL Server, and Azure Synapse, and implements data quality, matching, survivorship, stewardship workflows, and AI-assisted automation. It partners with business owners and Data Governance, develops the MDM roadmap, ensures reliable downstream data consumption, and provides technical leadership and mentorship.

Develop and optimize SQL Server and Snowflake data solutions, migrate workloads to the cloud, and build ETL/ELT pipelines using SQL, Python, Airflow, and AWS. Responsibilities include performance tuning, data validation, reconciliation, monitoring, production troubleshooting, and support for transaction cost analysis products using large-scale financial, trade, and market data.

Develop and maintain Power BI dashboards and reports using SQL, Excel, EHR data, and other sources. Analyze clinical, financial, and operational information; support state and federal reporting; validate data quality; and collaborate with leadership and departments to meet reporting needs. The role offers opportunities to build skills in data modeling, reporting, and data pipelines while supporting mental health service delivery.

Supports reporting and analytics across multiple workforce programs. Responsibilities include compiling performance data, gathering stakeholder requirements, developing and testing reports with technology partners, reconciling data quality, analyzing trends, documenting reporting procedures, troubleshooting reporting issues, and advising program teams. The role is client-facing and presents ACUMEN business analytics products to customers.

Research and fact-check thousands of hospitals for Forbes’ Top Hospitals 2027 list. Responsibilities include verifying hospital names, profiles, addresses, CMS facility IDs, and ratings; conducting online research and phone calls; maintaining accurate records; entering data; and potentially reporting and writing short healthcare articles.

Manage and analyze mine-site operational data, consolidating planning, production, maintenance, and performance information into a centralized Technical Data Center. Deploy and support Python, Lua, SQL, and on-premises applications; monitor servers and infrastructure; troubleshoot operational applications; and collaborate with technical, operating, innovation, and business improvement teams on data integration and innovation initiatives.

Reviews project requirements, analyzes and maps vendor files to CU*BASE data, validates files, researches issues, and coordinates projects with vendors, credit unions, and internal teams. The role tracks timelines, communicates changes, follows programming standards, handles sensitive data, and supports multiple projects while maintaining accuracy and deadlines.