Data Analytics Project Manager

Talnt; Tallmadge (OH); On-site; USD 90,000 - 120,000; Full time

Job summary

Talnt in Ohio is seeking a Data Analytics Project Manager to lead data-driven initiatives, develop reporting, and improve data accessibility. The role blends hands-on data work with technical project coordination to deliver actionable insights and scalable dashboards.

You will collaborate with operations, finance, and IT, manage data quality, automate reporting, and streamline data workflows across enterprise systems.

Qualifications

• Bachelor's degree or equivalent experience in a technical field.
• 2–3 years in data analytics or BI project management.
• Strong SQL and Python proficiency.
• Experience with BI tools and data visualization.

Responsibilities

• Manage data analytics and reporting projects from requirements through completion.
• Collaborate with leadership, operations, finance, and IT to define analytical needs and objectives.
• Develop project schedules, track milestones, and communicate progress to stakeholders.
• Extract, clean, transform, and analyze data using SQL, Python, and databases.
• Design and maintain dashboards and automated reports via Power BI, Tableau, Looker.
• Integrate data from ERP, ecommerce, WMS, and shipping systems.

Skills

SQL

Python

Data Analytics

Project Coordination

Business Intelligence

KPI Development

Data Visualization

REST APIs

Data Integration

Stakeholder Management

Education

Bachelor's degree in a related technical field

Tools

Power BI

Tableau

Looker

Job description

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.