Top Entry Level Data & Analytics Jobs

Analyzes business processes, operational metrics, financials, and system requirements to identify trends, resolve problems, and recommend improvements. Partners with management and cross-functional teams to implement process changes, ERP and forecasting solutions, Lean Manufacturing practices, training, and sustainable operational improvements affecting production, materials, and logistics.

Supports data governance by monitoring data quality, identifying and documenting issues, managing metadata, applying governance policies, supporting training, and documenting stewardship activities for compliance and audit. Collaborates with data teams and business stakeholders to understand processes, data relationships, and data literacy. The role requires strong Excel and SQL skills, attention to detail, and a willingness to learn governance tools and procedures.

Maintain and troubleshoot Airtable systems and API integrations connecting Salesforce, Coupa, AWS finance tools, and operational data sources. Support automated reporting, dashboards, executive performance reports, data validation, documentation, naming standards, and metadata governance. The role focuses on testing, reliability, issue resolution, and onsite support, with mentorship from a Senior Data Operations Architect.

Designs and owns data architecture, models, governance, security, and scalable solutions on modern data platforms. Translates business needs into technical designs, guides data engineers, enables AI use cases, leads stakeholder discussions, and identifies opportunities to expand the client engagement. The role is client-facing and requires local Indianapolis availability for onsite or hybrid work.

Own data ingestion, transformation, exchange, and integration workflows between K–12 Student Information Systems and Timely’s scheduling platform. Ensure pipeline accuracy, security, reliability, and scalability while collaborating with engineering, product, customer success, district IT teams, and SIS vendors. Develop documentation, process improvements, automation scripts, and lightweight Python tools; lead discovery for new SIS integrations and help scale the data integrations function.

Analyze business performance, develop hypotheses, answer critical business questions, and build dashboards and reports in Sigma. Support budgeting, forecasting, data quality checks, and reconciliations while partnering with teams across growth, product, insurance, finance, and leadership. Serve as a trusted data advisor by answering metric and reporting questions and promoting data-driven decision-making.

Build and scale foundational data infrastructure for AI-powered hardware and consumer devices. Responsibilities include developing reliable pipelines, integrating manufacturing, telemetry, quality, and customer operations data, creating durable data models, enabling manufacturing and product intelligence, and establishing data engineering standards. The role requires strong architectural judgment, distributed systems knowledge, production infrastructure experience, and cross-functional collaboration in an early-stage organization.

Analyze and maintain manufacturing data systems, develop KPI dashboards, ensure reporting accuracy, and provide data-driven insights for engineering projects and cause investigations. Collaborate with operations, process engineering, quality, and manufacturing associates, occasionally collecting data on the shop floor and supporting compliance with quality standards.

Build and maintain Azure-based ETL and ELT pipelines supporting a layered cloud data lakehouse. Integrate ERP and operational data through REST APIs and SQL sources, implement incremental loading and schema evolution, manage orchestration workflows, and monitor data quality and pipeline health. The role also includes data modeling, documentation, testing, deployment practices, code reviews, and collaboration with leadership while developing toward broader engineering ownership.

Tenure-track faculty member responsible for teaching undergraduate data analytics courses, developing curriculum, advising and mentoring students, conducting a focused research program, and contributing service to the program, university, and profession. The role emphasizes interdisciplinary instruction, inclusive pedagogy, experiential learning, and collaboration across academic disciplines.