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4 results for Business Intelligence Analyst in Columbus, OH

Business Analyst

Marysville, OH
onsite
Temporary / Contract
50 - 53 USD / Hourly
We are looking for an experienced Business Analyst to join our team in Southern California. In this long-term contract role, you will play a key part in analyzing business operations and facilitating digital transformation projects for the automotive industry. The position requires strong collaboration skills to work with diverse stakeholders and a solid ability to manage project deliverables and system enhancements following Agile and Waterfall methodologies. Responsibilities:• Conduct detailed system and business analysis to support enterprise-wide digital transformation initiatives.• Facilitate workshops, including data analysis sessions and workflow evaluations, to gather and refine business requirements.• Develop and prioritize comprehensive backlogs by validating complex business needs and translating them into actionable plans.• Coordinate and lead stakeholder meetings, including scheduling, documenting minutes, and ensuring follow-ups.• Support production systems by troubleshooting issues and implementing necessary updates.• Design and execute test cases for complex batch and online processes, ensuring system functionality and reliability.• Prepare communication materials such as presentations tailored to diverse audiences, including business stakeholders.• Collaborate with business units to identify opportunities for process automation and improvement.• Assist project managers with planning tools and, occasionally, take ownership of smaller project plans.• Conduct feasibility studies to evaluate the cost, efficiency, and technical viability of proposed solutions.
2026-04-16T00:00:00Z

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

Data Scientist: III

Columbus, OH
onsite
Temporary / Contract
47 - 52 USD / Hourly
OverviewWe are seeking a highly analytical Data Scientist / Advanced Analytics Specialist to leverage advanced analytics, machine learning, and statistical modeling techniques to extract insights from complex business data. This role focuses on building data‑driven models, conducting large‑scale experimentation, and influencing business decisions through actionable insights.The ideal candidate is intellectually curious, thrives in ambiguous problem spaces, and enjoys applying cutting‑edge analytics techniques to real‑world business challenges. Key Responsibilities<ul><li>Apply advanced analytics methods to extract value from structured and unstructured business data</li><li>Design and execute large‑scale experiments and develop data‑driven models to answer complex business questions</li><li>Conduct research on emerging techniques and tools in machine learning, deep learning, and artificial intelligence</li><li>Define requirements used to train, evaluate, and evolve predictive and deep learning models</li><li>Analyze results and present data‑based recommendations to product, business, and technical teams</li><li>Influence decision‑making through clear, compelling data storytelling and insights</li><li>Support ongoing analytics initiatives and perform additional duties as assigned</li></ul>
2026-05-12T00:00:00Z

Data Engineering Manager

Columbus, OH
remote
Permanent / Full Time
110000 - 120000 USD / Yearly
We are looking for an experienced Data Engineering Manager to lead the strategic development and management of our enterprise data warehouse in Columbus, Ohio. This position combines technical expertise with leadership responsibilities to ensure data assets are efficiently structured, integrated, and utilized for operational processes, analytics, compliance, and external partnerships. The ideal candidate will drive innovation while maintaining robust data architecture standards to support the organization's long-term goals. Responsibilities: • Oversee the design, implementation, and optimization of the enterprise data warehouse and associated reporting systems. • Ensure seamless data integration between source systems, analytics platforms, and reporting tools to maintain accuracy and reliability. • Collaborate with various teams to align data structures and solutions with organizational objectives. • Provide strategic direction for data architecture and recommend scalable solutions aligned with industry best practices. • Develop and enforce standards for enterprise reporting, key performance indicators, and consistent data definitions. • Promote uniformity in business rules and metric calculations across departments to ensure credible and authoritative data outputs. • Review and validate data workflows, transformations, and reports to ensure completeness and accuracy. • Identify and implement system improvements to enhance the functionality and efficiency of data platforms. • Address and resolve issues related to data integrity or reporting disruptions, ensuring minimal downtime. • Mentor team members and provide technical guidance to build a highly skilled and capable team.
2026-04-22T00:00:00Z