Top Entry Level Data & Analytics Jobs

Supports the Completions Department by collecting, validating, entering, analyzing, and reporting project completion data. Generates progress, status, deficit, and project health reports; audits contractor and subcontractor data; maintains electronic and hard-copy archives; supports the CoConsole database; and coordinates document turnover with the DFO team. The role also guides data-entry personnel and interfaces with multiple departments to ensure accurate, timely, and retrievable completions information.

Maintains accurate CRM data across HubSpot and ServiceNow by processing data requests, entering and cleaning records, resolving duplicates, managing account relationships, supporting bulk uploads, and addressing cross-system data issues. Partners with Sales, Marketing, and IT Development to ensure accurate integrations, workflows, deal data, and adherence to data processes.

Supports government-market research, marketing, client-focused initiatives, and project activities. Collects and summarizes data from standard sources, prepares reports and moderately complex documents, applies research and analytical methods, provides internal and external client support, and performs routine marketing-system tasks. The role also develops capabilities through formal and informal training while working under guidance on intermediate analytical, research, and numerical activities.

Performs daily data entry and quality assurance in HMIS for a homeless services program. Reviews intake forms, uploads client documents, records bed nights, case notes, and services, follows up with staff, meets reporting deadlines, and generates KPI reports. Collaborates with program staff and the Data Manager, attends relevant meetings and training, and completes ad hoc projects.

Develop, test, debug, and document software and harmonized survey datasets. Analyze survey comparability, create variables, tables, and reports, contribute to research publications, and present technical findings. Collaborate with programmers and multidisciplinary researchers while managing documentation, testing, and project deadlines. This is a one-year renewable hybrid position supporting global aging, health, and policy research.

Analyzes operational, commercial, and market data to support leadership decision-making. Develops and maintains Power BI dashboards, Excel reports, and performance analyses covering revenue, costs, market share, competitive activity, and operational trends. Validates data, resolves discrepancies, supports field operations and sales, communicates insights to stakeholders, and improves reporting processes and data quality.

Lead enterprise data platform architecture and client implementations centered on Databricks and lakehouse technologies. Design data models, governance, security, scalable pipelines, CI/CD, observability, and cost-management strategies. Develop and optimize batch and streaming workloads using Spark, PySpark, Scala, and SQL across cloud and hybrid databases. Mentor data engineering teams, review architectures and code, resolve complex platform issues, and collaborate with business, security, infrastructure, BI, and ML stakeholders to deliver reliable data products.

Maintains accurate and consistent master data across ERP and related systems. Performs data validation, cleansing, enrichment, governance compliance, issue resolution, integration monitoring, and quality reporting. Documents processes and data definitions, supports system enhancements and testing, and assists end users with data requests and corrections. Collaborates with stakeholders to improve data quality, reporting reliability, and operational efficiency.

Collects, cleans, validates, and analyzes manufacturing, engineering, marketing, sales, pricing, and ERP data. Develops data models, reports, dashboards, visualizations, and actionable recommendations for business stakeholders. Supports data governance, tracks initiatives, collaborates cross-functionally, presents findings, leads improvement efforts, and occasionally conducts operational training.

Analyze consumer, shopper, and market data to identify trends, risks, and growth opportunities. Assess data quality, develop analytical models, simulate client plans, and transform findings into actionable business stories. Create Excel, PowerPoint, and NielsenIQ software deliverables, support client presentations and training, collaborate with stakeholders, and contribute to project delivery and client satisfaction.