Top Entry Level Data & Analytics Jobs in Columbus, OH

Design and operationalize governed enterprise data platforms, data products, data contracts, lakehouse systems, and streaming pipelines. Establish authoritative data sources across CRM, MDM, and ERP systems, lead CX transformation architecture, deliver production data models and pipelines, advise enterprise customers on modern data architectures, and productize validated internal and field innovations into scalable customer offerings.

Build and scale governance-as-code across enterprise data systems, automating policy enforcement, sensitivity classification, access controls, data contracts, and compliance verification. Partner with architecture, security, privacy, legal, and engineering teams to protect data integrity and support AI adoption. Apply internal governance practices to customer advisory engagements, including maturity assessments, executive workshops, and guidance on AI-era data risk.

Build and maintain recurring sales and partner performance reporting, dashboards, scorecards, and forecast analyses. Identify trends, variances, risks, opportunities, and data-quality issues across pipeline, bookings, territories, accounts, and partner activity. Document KPI logic, assumptions, and data lineage while translating business requirements into reliable analytical products. Provide fact-based insights, scenario modeling, executive exhibits, and decision support without owning business commitments or cross-functional program accountability.

Part-time Database Administrator responsible for maintaining client CRM data, manipulating datasets, processing receipts, building Excel reports, analyzing information, visualizing findings, and establishing KPIs. The role requires advanced Excel skills, strong attention to detail, independent problem-solving, and familiarity with nonprofit CRM systems. The position requires at least 10–15 hours weekly and is performed as a contractor.

Performs remote data entry and administrative support by entering, updating, verifying, and organizing information in digital databases and electronic records. Maintains spreadsheets, reviews documents for accuracy, identifies discrepancies, protects confidential information, responds to update requests, and completes assigned projects on schedule while communicating progress to supervisors.

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.

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.

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 and interprets data, evaluates results, and provides actionable insights to support strategic decision-making across departments.

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 banking and financial crime data, develop and tune statistical and machine learning classification models, evaluate model performance, identify data quality issues, and recommend optimization strategies. The role uses Python and SQL for feature engineering, statistical modeling, automation, and large-scale data processing. Responsibilities also include documenting methodologies, reporting results to management and regulators, and collaborating with compliance, technology, business, and model governance teams.