Top Entry Level Data Management Jobs

Own the full lifecycle of Finance visualization and conversational analytics products, from data modeling and metric validation through deployment and adoption. Build executive dashboards and AI-enabled natural-language experiences using Tableau, ThoughtSpot, and Databricks. Partner with Finance, Product, Data Engineering, and platform teams on data quality, governance, security, compliance, and performance. Manage analytics roadmaps and backlogs, establish delivery standards, mentor analysts, and communicate insights to senior Finance leaders.

Manages financial aid systems, databases, SQL queries, reports, dashboards, integrations, automation, and data quality. Troubleshoots complex technical issues, supports Banner and related enterprise systems, administers compliant financial aid processes, and coordinates upgrades and testing. Leads process improvement initiatives, trains staff, documents technical procedures, and collaborates with IT, vendors, and campus stakeholders. Provides financial aid customer service and counseling while supporting regulatory compliance and operational reporting.

Leads organizational data systems, governance, quality assurance, reporting, and funding agreement compliance. Oversees EHR and related platforms, develops dashboards and automated reports, monitors data integrity, supports audits, trains staff, manages system improvements, and provides strategic technology guidance. The role also supervises assigned staff and collaborates with vendors and cross-functional teams to improve workflows and decision-making.

Downloads, verifies, compiles, and analyzes datasets to support CDMRP data operations. Validates data quality and completeness, documents data pulls, creates visual process maps, and tracks incoming requests and deliverables. Requires basic SQL skills and proficiency with Visio, Excel, and Access, along with U.S. citizenship and eligibility for NACI and ADP III designation.

Lead and mentor data engineering and DBA teams while driving GCP-based streaming and batch data platform initiatives. Oversee BigQuery, dbt, Apache Flink or Dataflow, data quality, testing, observability, governance, reliability, and cloud cost optimization. Remain hands-on with coding, code reviews, architecture, and complex system problems while aligning data infrastructure with business and product goals. Champion AI-assisted engineering and automation across the platform.

Lead the data engineering squad and oversee the DBA team while driving GCP-based streaming and batch infrastructure projects. Build and review code, establish standards for data quality, testing, observability, governance, and cost optimization, and align data platforms with business goals. The role requires expertise in GCP, BigQuery, dbt, Apache Flink or Dataflow, relational databases, AI-assisted engineering, and team leadership.

Partners with Product leaders to solve ambiguous business problems through forecasting, modeling, segmentation, cohort analysis, scenario analysis, dashboards, and executive insights. Owns analytical initiatives from problem framing through implementation and measurable outcomes. Uses SQL across large enterprise datasets and applies generative AI and LLM tools to analyze structured and unstructured data, while validating AI-generated outputs. Prioritizes analytics requests, improves recurring workflows, and communicates recommendations to senior stakeholders.

Lead the data engineering squad and oversee the DBA team while remaining hands-on with platform projects. Drive streaming and batch infrastructure using GCP, BigQuery, dbt, and Apache Flink or Dataflow. Establish standards for data quality, testing, observability, governance, documentation, and cloud cost optimization. Promote AI-native engineering practices, ensure transactional database reliability, mentor engineers, and align data platforms with business and product goals.

Manages wildfire debris-removal data, including field-data quality assurance, load-ticket reconciliation, invoice discrepancy identification, reporting, and project-document control. The role coordinates reconciled and voided tickets with contractors, prepares payment recommendations, exports client reports, maintains project records, and supports closeout activities. Work occurs in remote Alaska with extended shifts, weekends, and potentially 70–90 hours per week during the response period.

Supports Air Force geospatial programs by organizing, processing, validating, securing, and distributing geospatial datasets. Responsibilities include metadata management, quality control, data ingestion and transformation, troubleshooting access and format issues, and collaborating with analysts, developers, GIS specialists, and system administrators. The role requires adherence to DoD and Air Force data security policies in a classified environment.

Leads OpenAI’s Growth & Revenue data engineering team, owning data strategy and delivery across growth, subscriptions, billing, payments, monetization, and revenue. Builds and manages a high-performing team, develops reliable and well-modeled data products, establishes trusted metrics and quality standards, and partners with Data Science, Product, Finance, and Engineering. The role also oversees roadmap planning, privacy, governance, observability, incident response, stakeholder communication, and team hiring and development.

Manages HR data, analytics, reporting, dashboards, pipelines, integrations, and automation. Supports compensation, performance management, workforce planning, HRIS maintenance, and employee listening initiatives. Builds data models and AI integrations, audits data integrity, develops actionable insights, and presents findings to HR and executive leadership. Requires strong compensation expertise, advanced Excel, HRIS and BI experience, scripting, data modeling, and handling confidential information.

Owns performance measurement and analytics strategy across paid and organic media. Defines KPIs, designs testing and attribution approaches, interprets campaign data, and delivers recommendations that influence media and account-team decisions. The role establishes reporting standards, improves LOCALACT analytics capabilities, and partners cross-functionally with Paid Media, Organic, Account Services, and Marketing Technology to improve campaign performance and business-outcome tracking.

Manage and curate clinical, biospecimen, experimental, raw, and derived scientific data for a biomedical research laboratory. Maintain institutional and cloud data resources and scientific websites, support open science and FAIR principles, contribute to grants and manuscripts, train lab members, and attend scientific conferences. The role requires careful data management, collaboration with researchers and engineering staff, strong communication, and the ability to manage shifting priorities in an in-person academic environment.

Leads R&D data stewardship across metadata, cataloging, data products, profiling, quality, governance, and compliance. Uses Informatica, SQL, Databricks, Python, and PySpark to curate data, automate workflows, define quality controls, and resolve complex issues. Applies AI-assisted stewardship and semantic data concepts while collaborating with technical and business stakeholders. Coaches other stewards, supports audit readiness, and improves stewardship standards and operating practices.

Leads server-side tagging, marketing pixel, and CAPI implementations for clients. Responsibilities include architecture, QA, troubleshooting, UAT, implementation documentation, data quality support, stakeholder training, and coordination with client development teams. Serves as the technical advisor for Tealium, Adobe Experience Platform Tags, Google Tag Manager, and related tracking infrastructure. The role also manages client relationships, supports measurement strategy, and develops one to two direct reports.

Manage and mentor a data engineering team while leading Snowflake-based platform architecture, enterprise data integrations, governance, observability, and pipeline reliability. Partner with analysts, business leaders, product management, and engineering teams to improve trusted self-service data access. Establish engineering standards, modernize the data stack, optimize costs, and deliver an AI-ready data foundation supporting analytics, reporting, and future AI initiatives.

Manage the ASISTS enrollment system, enter and maintain student and attendance data, prepare reports for analysis, follow up for outcomes, support intake/registration/testing, assist instructors, develop outreach materials, and complete required trainings.

The Data Manager will develop dashboards, conduct statistical analyses, and support compliance through data management and risk assessments to enhance organizational performance.

Own the strategy, governance, architecture, modeling, and reporting foundation for People Experience data. Build governed metrics, semantic and consolidated data layers, dashboards, data catalogs, quality monitoring, and operating processes from the ground up. Manage intake, prioritization, access, privacy, enablement, and self-service adoption while partnering with stakeholders on analytics and future AI capabilities. The role combines strategic program leadership with hands-on SQL, data modeling, reporting, and team mentoring.

Manage and maintain child and personnel digital files, ensure data quality and integrity in ChildPlus and DOE systems, run and produce reports for dashboards and funders, support compliance with Head Start/DOE/DOH standards, troubleshoot database issues, and collaborate with program and research teams to improve data-driven decision making.