Senior Manager – Operations Business Analysis

OnTrac

Senior Manager of Operations Business Analysis at OnTrac focusing on metric standardization and quality improvements. Leading a team to drive value creation through data analysis and automation.

Posted 7/28/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, reporting standardization, and team leadership, with a strong focus on operational quality and stakeholder communication. Proficient in SQL, DBT, and data visualization tools to create impactful reports and drive automation initiatives.

Highest-signal resume keywords

SQL ProficiencyData Visualization with Power BITeam Leadership and MentoringExperience in AI ToolingBusiness Intelligence Reporting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisReporting StandardizationAutomation of Reporting TasksExcel ProficiencyPython ProgrammingDBT ProficiencyComplex Data StructuresStakeholder ReportingAnalytical Value CreationData Science Roadmap Management

Soft Skills

Cross-Functional CollaborationTransparent CommunicationProblem-SolvingTeam Development

Tools & Technologies

Power BITableauLookerAI ToolsLLM for Coding Assistance

Certifications & Qualifications

Data Analysis CertificationBusiness Intelligence CertificationData Warehousing Certification

Industry Keywords

High-Volume LogisticsManufacturingE-CommerceOperations ResearchQuality Engineering

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Metric & Reporting Standardization: Standardize and build comprehensive metrics and reporting for the operations organization, primarily focused on improving operational quality.
Data Trustworthiness & Quality: Own the trustworthiness and quality of all reporting utilized by the operations team.
Automation & New Reporting Structures: Lead initiatives to automate manual reporting tasks and develop new, efficient reporting structures.
Analytical Value Creation: Guide the team in creating new reports and analyses to identify areas for improvement, problem-solve operational challenges, and uncover opportunities for value creation.
Data Science Roadmap Management: Manage your team's roadmap and represent the operations organization to the data science and data engineering team.
Stakeholder Communication: Maintain transparent communication regarding backlog, timelines, and deliverables for all data and reporting projects.
AI Future Advocacy: Design and drive the roadmap for integrating AI tools into reporting and analysis processes.
Team Leadership: Lead, mentor, and develop a team of data analysts (two to start), fostering their growth and ensuring high-quality work.
Cross-Functional Collaboration: Work closely with various teams across the organization to achieve operational objectives.

Requirements

What you’ll need

Bachelor’s Degree in Data Science, Statistics, Business Analytics, Operations Research, Supply Chain Engineering, Quality Engineering, or a related field.
5-7 years of progressive experience in business intelligence, data analysis, or a related field, with a focus on creating robust reporting in BI systems.
Must have experience leading direct reports.
Proficient in SQL & DBT with hands-on experience working with complex data tables and structures; Python is a plus.
Experience using AI, including tooling creation & LLM for coding assistance.
Proven experience creating easy-to-understand reporting for stakeholders using Power BI, Tableau, or Looker.
Extremely proficient in Excel.
Relevant industry experience in high-volume logistics, manufacturing, or e-commerce (depending on company size and data complexity).
Strong Plus: Relevant certifications in data analysis, business intelligence, or data warehousing.

Benefits

Comp & perks

Health insurance
Retirement plans
Professional development opportunities