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4 results for Financial Data 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

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>
2026-05-08T00:00:00Z

Data Scientist: III (Senior)

Columbus, OH
onsite
Temporary / Contract
53 - 58 USD / Hourly
Data Scientist III (Senior)Location: Hybrid Columbus, OH Service Type: 13 Week Contract to Hire Pay: Available on W2 Basis Job SummaryA leading financial services organization is seeking a skilled and data‑driven Senior Data Scientist to join its Enterprise Analytics team. This role supports the company’s growth strategy by delivering data‑driven insights and uncovering opportunities that enhance customer experience and value delivery.The Senior Data Scientist will partner closely with business stakeholders using a consultative approach to analyze customer, product, channel, and digital data. This role focuses on translating complex analytical findings into actionable, intuitive insights that guide strategic decision‑making. The position requires strong technical expertise, clear communication skills, and a passion for optimization, data storytelling, and visualization.This is a highly visible role with the opportunity to collaborate across teams such as Product, Marketing, Finance, Data, and senior leadership, while contributing to initiatives that shape enterprise‑level strategy.Team OverviewThis position sits within an Enterprise Data & Analytics organization composed of analytics and data science professionals experienced with tools such as R, Python, SAS, SQL, Tableau, and Adobe Analytics/Target. The team primarily supports Digital and Omnichannel initiatives but frequently partners across the organization, including Product, Marketing, Consumer Sales and Operations, Business and Commercial Banking, Private Client, Payments, and IT.The team operates within an Agile framework and supports projects across the full lifecycle—from ideation through delivery—on large, high‑impact initiatives. The environment is fast‑paced and collaborative, offering opportunities to influence both individual projects and broader organizational direction. Key Responsibilities<ul><li>Apply advanced analytics methods to extract value from complex business data</li><li>Design and execute large‑scale experiments and build data‑driven models to address business questions</li><li>Research and evaluate emerging techniques and tools in machine learning, deep learning, and artificial intelligence</li><li>Define data and modeling requirements to train and evolve predictive and deep learning models</li><li>Present data‑driven insights and recommendations to influence product and business teams</li><li>Partner with cross‑functional stakeholders to support data‑informed decision‑making</li><li>Perform additional duties as assigned</li></ul>
2026-05-05T00:00:00Z

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