Top Entry Level Data & Analytics Jobs

Supports data-driven decision-making across guest experience, marketing, ticketing, and partnerships. Manages survey data in Qualtrics, analyzes qualitative and quantitative feedback, maintains Power BI dashboards and reports, produces recurring fan experience reports, supports research studies, and documents processes. The role also assists with survey design, partnership research, incentive fulfillment, and identifying actionable trends from business data.

Entry-level rotational Data Engineer responsible for SQL development, SSIS data transformations, data validation, testing, performance tuning, data profiling, and reporting solutions. The role collaborates with IT, project managers, analysts, and business stakeholders to implement enterprise data solutions across Salesforce, Marketing Cloud, and other platforms. This is a 100% on-site position in San Diego, California.

Owns the full lifecycle of institutional client reporting, including investment-data validation, reporting pipeline development, performance attribution, reconciliation, client deliverable production, and workflow automation. The role uses Python, SQL, and AI-assisted tools to improve accuracy, scalability, and efficiency while partnering with investment, technology, product, and compliance teams.

Develops dashboards, reports, visualizations, and analytics summaries for leadership and business teams. Analyzes customer, employee, website, and communications data; conducts data audits; manages surveys; and provides actionable recommendations. Maintains website content, user access, and digital platform performance while supporting CRM, email marketing, and digital communication systems. Collaborates across departments to improve reporting efficiency, data quality, and user experience.

Research and monitor political news, government sources, candidates, officeholders, and elections. Update Ballotpedia articles and databases, verify data accuracy, conduct jurisdictional research, write and proofread neutral content, maintain tracking spreadsheets, and collaborate across teams. The role requires strong political knowledge, organization, communication, project management, attention to detail, and flexibility for occasional evening and weekend work.

Supports sales teams through pricing analytics, reporting, financial analysis, data quality monitoring, and ad hoc analysis. The role gathers and analyzes complex data from multiple platforms, creates customer-facing presentations, manages stakeholder expectations, resolves issues, and serves as a subject matter expert for assigned categories. It requires advanced Excel skills, strong communication, analytical problem-solving, and familiarity with Tableau, Alteryx, and Salesforce.

Build and maintain production-grade data pipelines, connectors, and harmonized snapshots across clinical studies and applications. The role covers ingestion, transformation, orchestration, data modeling, quality controls, monitoring, lineage, auditability, regulatory compliance, CI/CD, and integration with Databricks and Snowflake environments. The engineer will validate source data, manage schema changes, optimize performance, and collaborate with platform and AI engineers to support reliable data and AI applications.

Supports institutional reporting, survey administration and analysis, academic program review, accreditation documentation, dashboards, data visualizations, external data requests, and ad hoc research. Maintains reporting documentation, institutional websites, and data accuracy while providing administrative support, coordinating logistics, and using university technology platforms.

Investigate difficult public and municipal data sources, reconstruct and validate datasets, design data models, and build production systems for acquiring and refreshing data. The role partners with operations and state expansion teams, prototypes solutions, reviews TypeScript, uses PostgreSQL and spatial data, and owns reliable production implementations supporting affordable housing site selection.

Processes and maintains geospatial pipeline data in enterprise GIS systems. Responsibilities include editing and loading pipeline datasets, performing ArcGIS spatial analysis and geoprocessing, conducting quality control, identifying data issues, supporting regulatory reports, and collaborating with pipeline project, operations, integrity, and compliance teams.