Top Entry Level Data & Analytics Jobs

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.

Clean, standardize, enrich, and import product data into the PIM while maintaining data integrity and governance standards. Oversee bulk ingestion processes, leverage AI and automation, support data model improvements, resolve product listing issues, and contribute to data hygiene and workflow modernization. The role also involves collaborating with client-facing teams, documenting processes, proofreading product data, communicating progress, and adapting to changing priorities.

Research Analysts support project teams by gathering, processing, and analyzing economic data; conducting qualitative research; producing tables, graphs, and visualizations; reviewing documents; auditing analyses; and preparing expert testimony and client deliverables. The role also includes participating in meetings and collaborating with project managers and senior staff.

Analyze data from multiple sources to identify trends, anomalies, and process-improvement opportunities. Develop dashboards, reports, SQL queries, and data visualizations; perform data validation, cleansing, reconciliation, and quality assurance. Partner with cross-functional stakeholders to translate business requirements into analytical solutions, support forecasting and capacity planning, automate recurring reporting, document processes, and present actionable findings to technical and non-technical audiences.

Conduct quantitative and qualitative research to evaluate curriculum effectiveness, learning outcomes, graduate employment, and industry alignment. Facilitate focus groups and stakeholder engagements, identify curriculum gaps, validate findings with curriculum and industry experts, and develop actionable recommendations. Prepare reports, presentations, and briefing papers for curriculum teams and institutional stakeholders while supporting regulatory compliance and programme improvement initiatives.

Analyzes and interprets HR workforce data to identify trends, improve data quality, and support strategic decisions. Develops data collection systems, maintains databases, cleans and validates datasets, runs SQL queries, creates reports, and presents findings. Partners with stakeholders on data discrepancies, process improvements, project schedules, and documentation while supporting the full data lifecycle from acquisition through visualization.

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.