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4 results for Data Scientist Iii in Columbus, OH

Business Analyst I

Westerville, OH
onsite
Temporary / Contract
30 - 32 USD / Hourly
We are looking for a Business Analyst I to support HR systems operations and data integrity efforts in Westerville, Ohio. This Long-term Contract position will focus on analyzing HR information, resolving system-related issues, and partnering with stakeholders to improve process efficiency and reporting accuracy. The role is well suited for someone who can translate business needs into clear requirements while balancing data quality, user support, and project coordination. Responsibilities: • Support day-to-day functional activities for HR systems by reviewing issues, diagnosing root causes, and coordinating timely resolution or escalation when needed. • Perform recurring audits of HR data to identify discrepancies, validate accuracy, and help maintain compliance with established data standards. • Investigate integration-related problems between HR platforms and assist in troubleshooting errors that affect data flow or system performance. • Work closely with business partners to gather operational needs, clarify workflows, and convert findings into organized business requirements documentation. • Create ad hoc reports, conduct mass data updates, and assist with system configuration and ongoing maintenance to support HR operations. • Monitor project or system risks, track open issues, and help organize priorities based on business impact, urgency, and effort required. • Collaborate with user groups to evaluate opportunities for process improvement and support automation initiatives within HR-related functions. • Contribute to planning activities by estimating effort, supporting governance expectations, and helping keep initiatives on schedule.
2026-05-18T00:00:00Z

Business Systems Analyst (IT): III (Senior)

Columbus, OH
onsite
Temporary / Contract
35 - 45 USD / Hourly
We are looking for a senior Business Systems Analyst to support complex data and reporting initiatives for a Long-term Contract position based in Columbus, Ohio. In this role, you will convert business and regulatory needs into well-defined data requirements, partnering with technical and functional teams to build dependable, traceable reporting solutions. The ideal candidate brings strong experience in enterprise data warehousing, source-to-target mapping, and data validation within banking or financial services environments. Responsibilities: • Lead the creation and maintenance of end-to-end source-to-target mapping documents, defining transformation rules and preserving clear data lineage from source systems through reporting layers. • Analyze data across upstream applications and warehouse structures to confirm accuracy, investigate discrepancies, and support reconciliation efforts for auditable reporting. • Develop and refine validation queries, exception reporting, and quality checks to verify that business rules are implemented correctly in data processes. • Partner with data engineering, finance, risk, and business stakeholders to translate requirements into scalable data designs that support reporting and analytical needs. • Research business issues and system behavior to identify requirements, assess solution options, and guide design decisions for data-focused initiatives. • Support ETL and batch processing activities by aligning job logic, parameter settings, restart considerations, scheduling expectations, and operational documentation with approved specifications. • Produce and maintain project artifacts such as business requirements documents, mapping workbooks, design documentation, test plans, and runbooks. • Participate in defect resolution, production readiness reviews, and change management discussions to help ensure stable delivery of reporting capabilities.
2026-05-08T00:00:00Z

SQL & ETL Developer

Dublin, OH
remote
Temporary / Contract
47.5 - 55 USD / Hourly
Job SummaryWe are seeking an experienced Programmer/Analyst with strong SQL and ETL development expertise to join our team. The ideal candidate will have at least 5 years of experience in application development and support, with a focus on Microsoft SQL Server and SSIS-based ETL processes. This role also requires hands-on experience in production support, ensuring the reliability and performance of critical financial applications. Key Responsibilities<ul><li>Design, develop, and maintain complex SQL queries, stored procedures, and database objects</li><li>Build and optimize ETL workflows using SSIS to support data integration and transformation</li><li>Monitor and support production jobs, troubleshoot issues, and ensure timely resolution</li><li>Collaborate with business and technical teams to gather requirements and deliver solutions</li><li>Perform root cause analysis and implement preventive measures for recurring issues</li><li>Participate in performance tuning and optimization of database systems</li><li>Document technical processes and maintain system knowledge base</li></ul>
2026-05-18T00:00:00Z

Tableau Platform Engineer

Dublin, OH
onsite
Temporary / Contract
45 - 55 USD / Hourly
We are looking for an experienced AWS Platform Engineer SR to join a Contract position supporting a growing data science platform in Dublin, Ohio. This role focuses on building, maintaining, and improving cloud infrastructure that enables analytics, AI/ML, and data-driven product teams to work efficiently at scale. The ideal candidate will bring strong experience in platform engineering, automation, and secure environment management across AWS-based ecosystems. Responsibilities: • Maintain and enhance cloud infrastructure that supports data science, analytics, and machine learning workloads across the platform. • Build and release new environments through automated delivery pipelines, enabling scalable and repeatable deployments for technical teams. • Administer large, multi-environment AWS landscapes and prepare the platform to support expanding business and engineering needs. • Establish and oversee image lifecycle practices to improve consistency, governance, and operational stability across hosted environments. • Configure and manage AWS accounts dedicated to the data science ecosystem while applying appropriate access controls and platform standards. • Use tools such as Azure DevOps and Terraform to automate provisioning, deployment, and ongoing infrastructure management. • Develop scripts and lightweight applications in Python to streamline platform tasks, integration needs, and operational support. • Support database and data access technologies including Athena, Oracle, MySQL, and PostgreSQL within cloud-based solutions. • Partner with network, database, infrastructure, and architecture teams to resolve issues, strengthen security controls, and support upgrades, patching, root cause analysis, and on-call needs.
2026-05-18T00:00:00Z