Senior Analyst - Business Analytics
Listed on 2026-08-01
-
IT/Tech
Data Analyst, Business Systems & Technology Analysis, Data Warehousing
400 W Nationwide Blvd
Suite 200
Columbus, OH 43215, USA
WHO WE ARE
ODW Logistics is a people-focused and customer-driven third-party logistics (3PL) provider committed to delivering seamless end-to-end supply chain solutions. Our extensive range of services include supply chain design and innovation, warehousing, efficient distribution and fulfillment, freight brokerage, transportation management, and specialized e-commerce fulfillment solutions.
POSITION SUMMARY
The Systems Analyst, Business Analytics will leverage data analytics, advanced reporting technologies, and business intelligence (BI) tools to deliver actionable insights that support operators and key decision-makers within ODW. This role will provide cross-functional analytical support across all business units, utilizing BI platforms to design, develop, and optimize reports and dashboards. Additionally, the Systems Analyst will facilitate end-user training to enhance data literacy and ensure effective utilization of reporting tools and analytics solutions.
Essential Functions
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Analyze business processes toidentifyoptimization opportunities and recommend data-driven solutions.
- Lead the design, development, and implementation of software-based tools, automation, and process improvements.
- Develop,maintain, and enhance technical queries, business intelligence (BI) reports, dashboards, and data visualizations.
- Collaborate with cross-functional teams and end-users to gather requirements, deliver insights, and support data-driven decision-making.
- Provide ongoing support, troubleshooting, and enhancements forimplementedsolutions and data models.
- Assist with ad-hoc reporting, data analysis, andinsightsrequests across all business units.
- Document processes and solutions with a focus on standardization and scalability.
- Support new business initiatives by developing initial tools, reporting frameworks, and data management strategies.
- Promote data literacy by training users on BI tools, reporting functionality, and best practices in data management.
Minimum Qualifications
These may be representative, but not all-inclusive of those commonly associated with this position.
Education&Experience
Required :
- Education :
Bachelor’s degree in Computer Science, Information Systems, Business Analytics, ora related field, or equivalent work experience. - Professional Experience :1-3years of experience in a Systems Analyst, Business Analyst, Data Analyst, or similar role with a focus on business intelligence and data analytics.
- Technical Proficiency :
- Strong experience with Microsoft SQL Server, including SSIS, SSMS, and SSRS for data integration, management, and reporting.
- Proficiency in designing complex SQL queries, stored procedures, and data models.
- Hands-on experience with BI tools such asQlik Sense SaaS,Power BI, Tableau, or similar platforms for report creation and data visualization.
- Knowledge of ETL processes, data warehousing concepts, and data governance best practices.
- Process Improvement :
Demonstratedability toidentifybusiness process gaps andleadthe design and implementation of software-based automation and optimization solutions. - Analytical Skills :
Strong analytical and problem-solving skills with the ability to troubleshoot data issues and develop effective solutions. - Project Management :
Experience in managing or supporting projects, including gathering requirements, documentation, and stakeholder communication. - Collaboration & Communication :
Proven ability to work cross-functionally with technical and non-technical stakeholders, with excellent verbal and written communication skills. - Training & Support :
Experience in providing end-user training and support for business intelligence tools and data-driven solutions.
Preferred Experience :
- Familiarity with Agile or Scrum methodologies.
- Exposure tocloud-based data platforms or services (e.g.,Snowflake,Azure, AWS).
- Experience with data automation tools and scripting languages (e.g.,Power Automate,Python, R, or Power Shell).
- Understanding ofdata security, compliance, and privacy best practices.
Capabilities
- Data…
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