Top Entry Level Data & Analytics Jobs

Build and maintain scalable SQL and Python ETL/ELT pipelines, Hive/Spark data warehouse workflows, orchestration processes, analytics-ready datasets, data quality checks, monitoring, backfills, and self-service reporting infrastructure. Partner with data scientists, analysts, architects, and operations stakeholders to support workforce, staffing, capacity, productivity, and operational reporting.

Lead end-to-end Celonis process mining use cases, including translating business requirements, sourcing data, solution design, analysis, development, deployment, and production support. Collaborate with development teams to establish and deliver use cases, while providing hands-on Celonis platform development and preserving critical technical knowledge.

Analyze and maintain manufacturing product data, engineering bills of materials, and product records across PDM systems and Microsoft Dynamics 365. Identify discrepancies in part numbers, attributes, classifications, and BOM relationships; support data standardization, reconciliation, documentation, and corrective updates. Collaborate with engineering and manufacturing stakeholders to resolve data issues and ensure accurate ERP product information.

Owns specialty pharmacy data-partner specification negotiations, data mapping, Ascend platform configuration, internal QA, defect resolution, and UAT readiness across multiple implementations. The role evaluates standard versus custom data requirements, coordinates with delivery, engagement, product, and engineering teams, maintains data dictionaries and implementation documentation, supports schema normalization, and develops repeatable testing and onboarding processes. It is primarily remote with occasional travel.

Analyzes business data and trends, gathers stakeholder requirements, identifies process improvement opportunities, and develops actionable recommendations. Prepares reports and presentations for management while monitoring initiative and project progress across cross-functional teams.

Performs ETL data migration from legacy utility billing systems into SpryPoint’s platform. Develops Python and SQL scripts, profiles source databases, maps and transforms datasets, validates data quality, and supports reliable go-live integrations. Collaborates with technical and client teams, documents best practices, improves automation and observability, and participates in iterative reviews. This early-career role emphasizes data conversion, auditing, process optimization, and continuous learning.

Leads the migration of legacy data warehouses and pipelines to an Azure and Databricks lakehouse. Defines technical architecture, reusable Azure Data Factory and Databricks pipelines, reconciliation methods, quality gates, and performance solutions. Mentors data engineers, reviews technical work, and collaborates with product, QA, platform, and customers in a remote Agile environment.

Quality Analyst role with Teleperformance, supporting the company’s commitment to service excellence, employee engagement, inclusion, and customer experience. The posting provides no specific responsibilities, qualifications, technologies, compensation, travel, or clearance requirements.

Delivers daily, weekly, and month-end customer reporting while maintaining solution components, validating data, and resolving reporting issues. Analyzes complex datasets, supports customer implementations, and improves reporting efficiency using Excel, Access, SQL, and the Infios FAP Portal. Collaborates with Operations, Product, Implementations, Commercial teams, and customers to provide accurate, data-driven outputs and document scalable processes.

Analyzes digital member experience, Voice of Customer, CSAT, survey, and behavioral data to identify trends, friction points, and service issues. Builds dashboards and reports using analytics tools, presents actionable recommendations to stakeholders, supports incident reviews and issue resolution, and partners with engineering, product, and reliability teams to validate fixes. Uses AI to summarize feedback, detect themes, and automate reporting while ensuring accuracy.