Top Entry Level Data & Analytics Jobs

Analyzes marketing campaign performance, customer segments, market trends, and database quality. Creates reports, queries, dashboards, and automated workflows using Excel, Access, Power BI, and Power Automate. Provides data-driven recommendations, supports targeted marketing initiatives, conducts competitive and forecasting research, and leads multiple analytical projects while collaborating with marketing and information systems teams.

Coordinates enterprise data governance forums, calendars, agendas, action tracking, policy variances, audit and regulatory requests, and management reporting. Consolidates updates across teams and regions to create presentations, status summaries, and basic dashboards. Maintains organized documentation, follows up with stakeholders, tracks deadlines, and supports Data Office initiatives involving data quality, metadata, lineage, standards, and transformation.

Collects and analyzes banking, financial market, and macroeconomic data using econometric methods. Assists researchers with synthesizing findings into memoranda and blog posts, while developing familiarity with banking data sources and financial statements. The role requires independent work, strong organization, careful analysis, and effective written and oral communication in a collaborative research environment.

Manage and govern Cloudability and client dashboards, reports, and views. Maintain dashboard catalogs, information hierarchies, naming standards, and validation strategies. Validate cloud cost metrics against billing and Kubernetes data, document data lineage, test platform releases, report regressions, and drive dashboard fixes through resolution. Support FinOps, engineering, and business stakeholders by making cloud financial insights accurate, accessible, and understandable.

Maintains and improves commercial real estate data accuracy through investigative research and high-volume outreach to industry professionals. Confirms listings, transactions, ownership, construction, and market activity while using AI-enabled workflows and Excel. Supports client onboarding, product adoption, listing performance reviews, training, and customer inquiries in partnership with Sales. Requires strong communication, attention to detail, research ability, and flexibility to work shifts aligned with multiple U.S. time zones.

Designs and implements advanced analytics capabilities by building Azure-based data platforms, ingestion pipelines, and scalable data processing solutions. The role uses Python, Spark SQL, Azure Data Factory, Azure Storage, and Azure Databricks to transform structured and unstructured data. Responsibilities also include querying large datasets, applying Azure networking and security practices, and potentially using Snowflake to create data marts.

Owns Hagerty’s Qualtrics experience-management platform, including survey programming, contact-list management, deployments, dashboards, and feedback outputs. Analyzes research and survey data to identify themes, develops reports and narratives, presents insights to stakeholders, and supports project timelines and communications. The role also coordinates with internal teams, maintains People Insights resources, and recommends improvements to research and reporting processes.

Manages product data throughout its lifecycle, including item creation, part numbering, PLM and PIM maintenance, BOM relationships, data standardization, quality control, and system integration. Develops Excel-based automation, supports bulk data uploads and migration projects, documents procedures, troubleshoots product data systems, and collaborates with IT and business teams on data governance. Requires strong Excel, database, Oracle PLM, analytical, organizational, and cross-functional collaboration skills.

Analyzes spatial and tabular data for planning, engineering, and infrastructure projects. Creates maps, cartographic exhibits, dashboards, web applications, and spatial datasets; performs geoprocessing and quality control; maintains GIS databases, metadata, and documentation. Provides GIS training and technical support while collaborating with project teams. The role requires ArcGIS proficiency and familiarity with geodatabases, with Python, CAD integration, enterprise GIS, and imagery processing preferred.

Collects, consolidates, cleans, transforms, and validates investment data from multiple sources. Coordinates with data owners, technology teams, stakeholders, and external providers; performs ETL and data quality checks; investigates discrepancies; maintains data dictionaries, lineage records, issue logs, and process documentation; and supports analytics and reporting activities.