Senior Analyst - Business Analytics
ODW Logistics · Columbus, OH · 3 days ago
Business DevelopmentFull-time
About the role
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.
Responsibilities
- Analyze business processes to identify optimization 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 for implemented solutions and data models.
- Affiliate with ad-hoc reporting, data analysis, and insights requests 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.
Requirements
- Education: Bachelor’s degree in Computer Science, Information Systems, Business Analytics, or a related field, or equivalent work experience.
- Professional Experience: 1-3 years 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 as Qlik 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: Demonstrated ability to identify business process gaps and lead the 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.
Qualifications
- Required Education & Experience: Bachelor’s degree in Computer Science, Information Systems, Business Analytics, or a related field, or equivalent work experience. 1-3 years 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 as Qlik 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: Demonstrated ability to identify business process gaps and lead the 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.
Skills
- Familiarity with Agile or Scrum methodologies.
- Exposure to cloud-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 PowerShell).
- Understanding of data security, compliance, and privacy best practices.
- Data Analysis & Problem-Solving: Strong analytical thinking with the ability to interpret complex data sets, identify trends, and develop data-driven solutions to support business objectives.
- Advanced knowledge of SQL, BI tools (e.g., Qlik Sense SaaS, SSRS), and data integration processes (e.g., SSIS, Replication) to design, develop, and maintain reporting solutions and automation tools.
- Business Acumen: Ability to understand business processes and translate operational needs into technical requirements, fostering data-driven decision-making across the organization.
- Communication & Collaboration: Excellent interpersonal and communication skills to effectively work with cross-functional teams, gather requirements, present insights, and provide user training.
- Adaptability & Continuous Learning: Strong ability to adapt to evolving business needs, learn new technologies quickly, and drive process improvements in dynamic environments.
Benefits
ODW Logistics offers a competitive benefits package which includes:
- Health insurance coverage
- Retirement savings plans
- Flexible work arrangements
- Professional development opportunities
- Employee recognition programs
Pay
Salary range for this role is $50,000 - $75,000 annually, commensurate with experience.
Schedule
This role is full-time, Monday through Friday, with flexible working hours to accommodate business needs.