Top Entry Level Data & Analytics Jobs

Analyze complex datasets to identify trends, patterns, anomalies, and business opportunities. Develop KPIs, perform root-cause analysis, build Power BI dashboards using DAX, SQL, and Power Query, validate data quality, automate reporting, and translate findings into actionable recommendations for business stakeholders.

Supports the Dean’s Office by collecting, cleaning, analyzing, and presenting enrollment, faculty workload, academic program, and survey data. Builds Excel datasets, dashboards, visualizations, and recurring reports using university systems such as WebFOCUS and Banner. Administers Qualtrics surveys, validates and documents data, responds to analytical requests, identifies trends and inconsistencies, and communicates findings to college leadership while maintaining confidentiality and data security.

Processes, analyzes, validates, and quality-controls LiDAR, point cloud, aerial imagery, and other geospatial datasets. Produces maps, terrain and surface models, contours, orthomosaics, 3D models, and infrastructure-focused deliverables. Supports GIS data management, utility GIS, spatial analysis, schema development, web maps, field data solutions, and automation using Python and related tools. Collaborates with engineers, surveyors, GIS professionals, and project managers to troubleshoot data issues and improve repeatable geospatial workflows.

Analyze semiconductor materials pricing data, identify market trends, validate and standardize information, monitor data quality, investigate discrepancies, document analyses, and support data pipeline and ETL optimization. The role also involves communicating findings, improving data hygiene, and collaborating cross-functionally while learning new analytical tools and best practices.

Develop and customize Data Warehouse reports using Excel by writing queries to connect to Oracle. Build and optimize SQL queries, understand Oracle database structures and tables, and tailor report outputs. Familiarity with how Excel generates reports from Oracle is required. Cognos Impromptu experience is a strong plus. Position requires 100% onsite relocation and candidates must be U.S. citizens or green card holders.

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.

The job description was not provided. Based on the title, this role likely focuses on business intelligence analysis and reporting.

Develop and implement business intelligence solutions from requirements through design, development, testing, and deployment. Collaborate with business partners, define architectural improvements, design applications, perform root cause analysis, and conduct advanced performance tuning. The role requires experience with big data, streaming technologies, containers or Linux, REST APIs, and microservices.

Inspects raw seismic data quality by analyzing observer logs, using proprietary software, testing and adapting programs, debugging aborted processes, and monitoring lengthy data-processing runs. The role coordinates processing requirements with project teams and advisers, prioritizes programs based on runtime and urgency, and may support multiple projects simultaneously. Candidates must have a strong technical background, effective communication skills, legal authorization to work in the applicable region, and willingness to travel.

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.