Top Entry Level Data & Analytics Jobs

Leads the strategy, architecture, governance, delivery, and optimization of Collette’s digital analytics ecosystem. Owns data layers, event tracking, tag management, consent controls, downstream marketing integrations, technical standards, roadmaps, testing, compliance, and operational support models. Aligns engineering, marketing, product, analytics, privacy, and operations stakeholders while building and managing the digital analytics engineering organization.

Scout collegiate basketball games from the arena using proprietary software to quickly and accurately identify and record basketball information throughout each game. The primarily part-time role offers flexible scheduling, game-based compensation, and potential incentives for recruiting, extra coverage, holiday games, extended travel, and at-home work. Reliable transportation to the stadium and smartphone access are required.

Monitor and analyze Caterpillar machine alerts, equipment history, work orders, and machine data. Prepare customer reports and corrective-action recommendations, identify job opportunities, create condition-monitoring leads, maintain EMSolutions reports and equipment records, submit subsidy claims, and provide VisionLink and condition-monitoring training. The role also collaborates with branch personnel and maintains technical knowledge of heavy equipment.

Conducts qualitative and quantitative consumer research, including surveys, focus groups, and concept tests. Analyzes syndicated, panel, retail point-of-sale, and market data to identify trends, consumer needs, competitive performance, and innovation opportunities. Translates findings into actionable recommendations for Marketing, Sales, Product Development, and brand strategy. The role also manages research vendors and projects, collaborates cross-functionally, and uses AI tools responsibly to improve research efficiency.

Develops Power Platform and Power BI solutions for Army and DoD data environments. Responsibilities include data modeling, ETL, gateway connections, Dataverse and warehouse integration, dashboard and report development, Premium Workspace management, SharePoint and Microsoft 365 alignment, requirements gathering, stakeholder presentations, and technical project planning. The role requires an active Secret clearance and hybrid work at the Pentagon one day weekly.

Develop and maintain ServiceNow reports, dashboards, performance analytics, data extracts, and Power BI executive reporting. Build data models, KPIs, measures, and visualizations for operational performance, compliance, service health, and engineering effectiveness. Automate reporting, data collection, validation, distribution, and notifications using Power Automate, PowerShell, Python, or similar tools. Support Workspace ONE, Intune, macOS troubleshooting, monitoring, endpoint compliance, incident resolution, documentation, and change management.

Analyze stakeholder and project requirements, translate them into functional features, partner with Product, Engineering, and QA, define acceptance criteria and test cases, identify bugs, support resolution, perform functional testing, and provide product sign-off. The role also involves documenting use cases, communicating decisions, and developing data-product solutions using SQL and the company’s data stack.

Build and operate production data pipelines, CDC streams, and Snowflake Bronze-layer infrastructure using Python, SQL, Redpanda, and Dagster. Maintain source adapters, historical snapshots, schema-drift detection, deduplication, data-quality checks, reconciliation, and observability. Collaborate on Silver-layer modeling, governance tagging, CI/CD, containerization, and HVR-to-Redpanda migration. Participate in incident response and develop deeper ownership of orchestration, streaming, data governance, and dbt-based layered modeling.

Supports master data management and quality assurance for critical supply chain datasets in Workday ERP. Creates and maintains accurate, complete data according to established policies, procedures, and best practices, helping drive operational and financial performance under the guidance of senior team members.

Lead technical strategy for commercial data governance, data risk management, and reliability of data-driven workloads. Provide architecture, design, development, and testing leadership while mentoring engineers and driving technical decisions. Partner with stakeholders to scale governance practices, improve delivery processes, and build trusted data solutions using cloud platforms, Spark, Python, SQL, and data-lakehouse architectures.