Top Entry Level Data & Analytics Jobs

Build and maintain Tableau dashboards, reporting, and SQL queries while defining business metrics. Perform exploratory, statistical, forecasting, variance, and cohort analyses to support planning and business reviews. Collaborate with data engineering on pipelines, data quality, governance, and machine learning models. Use AI tools to improve analytical workflows and translate technical findings into business recommendations.

Reviews and annotates video content by identifying objects, people, actions, events, and visual details for AI training. Follows project guidelines, checks annotation quality, corrects inconsistencies, flags unclear content, meets productivity targets, and adapts to updated requirements. The role requires independent, detail-focused work, strong written English comprehension, basic computer skills, reliable internet, and personally provided equipment suitable for video annotation.

Own EULER’s data lifecycle, including instrumentation, validation, reconciliation, privacy, anonymization, canonical data modeling, analytics datasets, documentation, and production pipelines. The role requires strong SQL, software engineering practices, independent ownership, skepticism toward data quality, and clear communication. Preferred experience includes GDPR/LGPD, multi-tenant B2B SaaS, dbt, statistics, Cloudflare Workers, Postgres, Parquet, DuckDB, and Bubble.

Teaches undergraduate and graduate business analytics courses in hybrid formats. Develops syllabi, lesson plans, course materials, assignments, and exams aligned with learning objectives. Facilitates student learning through face-to-face and online instruction, grades consistently, provides timely feedback, and integrates responsible AI use into teaching. Participates in faculty training and ongoing professional development.

Investigate and resolve data integration, file processing, and transfer issues. Monitor automated jobs, use SQL and SSIS to validate data, manage SFTP workflows, reprocess files, document integration processes, and collaborate with internal teams to ensure accurate and reliable client and vendor data exchanges.

Performs production statistics and reporting for a glass manufacturing operation. Trains line leads on production reports and ERP entry, reviews data accuracy, counts inventory materials, summarizes attendance, records machinery output, tracks KPIs, and prepares daily and monthly reports. The role supports production management, cost accounting, performance management, and reward calculations while coaching department employees. Work occurs in an office, warehouse, and production-floor environment with little to no travel.

The Statistician supports production management through accurate daily and monthly reporting, ERP data entry, inventory counts, attendance summaries, machinery output tracking, KPI reporting, and production result analysis. The role trains line leads on reporting procedures, reviews data accuracy and timeliness, calculates performance-related rewards, and collaborates with cost accounting management. It is a full-time, primarily office-based position with occasional floor and warehouse duties and little to no travel.

Analyzes business processes and system integrations across ERP, TMS, WMS, CRM, and finance platforms. Documents integration requirements, data mappings, APIs, EDI transactions, workflows, and system specifications. Partners with technical teams, vendors, carriers, and customers to onboard, test, troubleshoot, and resolve integration issues. Supports UAT, regression testing, data reconciliation, change management, governance, and solution delivery.

Analyze Deploy’s media and sports offerings, priorities, metrics, client solutions, and commercialization strategies. Support multiple projects, communicate analytical findings, collaborate with machine learning and engineering teams, and contribute to business growth and client outcomes. The role also involves monitoring industry practices, protecting information assets, and supporting awareness of Deploy’s AI-powered products among target media, sports, agency, and advertiser communities.

The Director, Data Insights serves as the primary data advisor to executives and external stakeholders. Responsibilities include translating analytics into board-ready narratives, influencing strategic decisions, aligning data roadmaps with business value, resolving cross-functional priorities, promoting data-driven culture, and conducting rapid analyses using agentic tools.