Data Analytics Project Manager

About the Role:

We are seeking an analytical and technically skilled Data Analytics Project Manager to oversee data-driven initiatives, develop reporting solutions, and improve the accuracy and accessibility of operational information. This is a full-time, on-site opportunity in Northeast Ohio. The Data Analytics Project Manager will combine hands-on data analysis, SQL development, Python scripting, business intelligence reporting, and technical project coordination to deliver solutions that improve business performance. This opportunity is ideal for someone with experience in data analytics, reporting automation, data integration, and cross-functional project management who enjoys solving complex business problems through technology.

Responsibilities:

• Manage data analytics and reporting projects from initial business requirements and project planning through development, implementation, validation, and completion.
• Collaborate with leadership, operations, finance, inventory management, and technology teams to identify analytical needs, establish reporting priorities, and define measurable project objectives.
• Develop project schedules, track milestones, monitor deliverables, identify risks, and communicate progress to technical and non-technical stakeholders.
• Extract, clean, transform, and analyze data from multiple enterprise systems using SQL, Python, relational databases, and analytical tools.
• Design and maintain interactive dashboards, automated reports, KPI tracking systems, and data visualizations using Power BI, Tableau, Looker, or similar platforms.
• Integrate information from ecommerce platforms, ERP applications, warehouse management systems, shipping providers, and other operational databases.
• Develop reporting solutions that monitor inventory levels, order processing, fulfillment efficiency, shipping costs, operational productivity, and key business performance indicators.
• Identify opportunities to automate manual reporting processes, streamline data collection, improve analytical workflows, and reduce reporting errors.
• Investigate data quality issues, validate reporting outputs, troubleshoot database or integration problems, and implement improvements to ensure accurate business information.
• Maintain project documentation, analytical methodologies, data definitions, reporting procedures, and technical specifications while supporting continuous improvement initiatives.

Qualifications:

• Bachelor's degree in Data Analytics, Data Science, Computer Science, Information Technology, Business Analytics, or a related technical field, or equivalent relevant experience.
• 2 to 3 years of experience in data analytics, technical project management, business intelligence, reporting development, or data-focused IT operations.
• Strong SQL proficiency, including extracting information from relational databases, writing complex queries, and preparing datasets for reporting and analysis.
• Experience using Python or a comparable scripting language for data manipulation, automation, reporting, and technical troubleshooting.
• Hands-on experience with Power BI, Tableau, Looker, or similar data visualization and business intelligence technologies.
• Working knowledge of data integrations, REST APIs, database connections, data transformations, and automated reporting workflows.
• Experience gathering business requirements, organizing technical projects, coordinating stakeholders, and managing project deliverables.
• Understanding of data quality, data validation, KPI development, operational analytics, and reporting accuracy.
• Strong analytical thinking, problem-solving, organizational, and time management capabilities.
• Excellent written and verbal communication skills, including the ability to explain analytical findings and technical information to business stakeholders.

Desired Qualifications:

• Experience analyzing data within manufacturing, ecommerce, warehousing, inventory management, supply chain, or logistics operations.
• Familiarity with ERP platforms, warehouse management systems, fulfillment software, and inventory reporting applications.
• Experience with Google BigQuery, cloud-based data warehouses, or cloud analytics platforms.
• Knowledge of Shopify, WooCommerce, ecommerce integrations, or order and shipping analytics.
• Familiarity with ETL/ELT processes, data modeling, database optimization, and automated data pipelines.
• Experience using AI-assisted analytics tools, workflow automation platforms, Agile methodologies, or project management software.